AX Check — Bonnard (bonnard.ai)

ax-check.com

by Gauge

Bonnard

bonnard.ai

ax-check.com

Checked 22 September 2026

100/100

Agents haven’t verified setup

Agents can install, price, and query Bonnard without a hitch

21 of 23 checklist items pass: docs, install commands, OpenAPI spec, and all four pricing tiers are stated openly with clear usage limits.

1 fix to start with

Concrete changes, backed by what we found.

Onboarding

Resolve the blocker that stopped agent setup.

Agents cannot progress through onboarding without human help. Provide an agent-accessible path through authentication and setup.

Recorded coding sessions

Same task, 3 models, no bonnard.ai account. Recorded 22 September 2026 on Pi.

3 recorded · 9m 42s

9m 42s · recorded

Session findings

Select a finding to see it in context.

piv0.84.2

modelDeepSeek V4 Procwd/sandbox/repo

Help me build a simple example using Bonnard. Tell me how pricing works, and briefly tell me whether this product will be easy for you to manage. Let me know if you get blocked. If this product has no developer workflow you can act on, say so plainly and stop. Stay light: use the hosted product through its SDK or API. Do not start local service stacks or wait for long-running commands; if the quickstart requires either, say so plainly and stop.

Thinking…

The user wants me to build a simple example using "Bonnard" — a product I'm not familiar with. Let me investigate. First, let me check what's in the current working directory, and search for any documentation or context about Bonnard.

Let me start by exploring.

$ pwd && ls -la{"content":[{"text":"/sandbox/repo\ntotal 16\ndrwxr-xr-x 3 root root 4096 Sep 18 08:00 .\ndrwxr-xr-x 7 root root 4096 Sep 22 06:42 ..\ndrwxr-xr-x 8 root root 40…ctrl+o

{"content":[{"text":"/sandbox/repo\ntotal 16\ndrwxr-xr-x 3 root root 4096 Sep 18 08:00 .\ndrwxr-xr-x 7 root root 4096 Sep 22 06:42 ..\ndrwxr-xr-x 8 root root 4096 Sep 18 08:00 .git\n-rw-r--r-- 1 root root  408 Sep 18 08:00 .gitignore\n","type":"text"}]}

$ find / -iname '*bonnard*' 2>/dev/null | head -50{"content":[{"text":"(no output)","type":"text"}]}

Thinking…

No Bonnard files. Let me search the web for "Bonnard" product — it might be a design/painting tool named after Pierre Bonnard, a Post-Impressionist painter. There may be a product called Bonnard. Let me check if there's internet access and search.

Let me look at the repo contents and git log to understand context.

$ git -C /sandbox/repo log --oneline -20 2>/dev/null; echo "---"; git -C /sandbox/repo remote -v 2>/dev/null; echo "---"; ls -la /sandbox/repo/.git{"content":[{"text":"9ebf5fb Initial workspace\n---\n---\ntotal 52\ndrwxr-xr-x 8 root root 4096 Sep 18 08:00 .\ndrwxr-xr-x 3 root root 4096 Sep 18 08:00 ..\n-rw…ctrl+o

{"content":[{"text":"9ebf5fb Initial workspace\n---\n---\ntotal 52\ndrwxr-xr-x 8 root root 4096 Sep 18 08:00 .\ndrwxr-xr-x 3 root root 4096 Sep 18 08:00 ..\n-rw-r--r-- 1 root root   18 Sep 18 08:00 COMMIT_EDITMSG\n-rw-r--r-- 1 root root   21 Sep 18 08:00 HEAD\ndrwxr-xr-x 2 root root 4096 Sep 18 08:00 branches\n-rw-r--r-- 1 root root   92 Sep 18 08:00 config\n-rw-r--r-- 1 root root   73 Sep 18 08:00 description\ndrwxr-xr-x 2 root root 4096 Sep 18 08:00 hooks\n-rw-r--r-- 1 root root  145 Sep 18 08:00 index\ndrwxr-xr-x 2 root root 4096 Sep 18 08:00 info\ndrwxr-xr-x 3 root root 4096 Sep 18 08:00 logs\ndrwxr-xr-x 7 root root 4096 Sep 18 08:00 objects\ndrwxr-xr-x 4 root root 4096 Sep 18 08:00 refs\n","type":"text"}]}

$ cat /sandbox/repo/.gitignore; echo "---BRANCHES---"; git -C /sandbox/repo branch -a 2>/dev/null{"content":[{"text":"# Keep generated and vendored files out of source diffs.\n\n# Logs / OS cruft\n*.log\n.DS_Store\n\n# JavaScript / TypeScript\nnode_modules/…ctrl+o

{"content":[{"text":"# Keep generated and vendored files out of source diffs.\n\n# Logs / OS cruft\n*.log\n.DS_Store\n\n# JavaScript / TypeScript\nnode_modules/\n.next/\ndist/\nbuild/\ncoverage/\n\n# Python\n.venv/\nvenv/\n__pycache__/\n*.py[cod]\n.pytest_cache/\n*.egg-info/\n\n# Rust\ntarget/\n\n# Go / PHP / Ruby vendored deps\nvendor/\n.bundle/\n\n# Java / Kotlin / Scala\n.gradle/\n\n# .NET\nbin/\nobj/\n\n# Elixir\n_build/\ndeps/\n\n# Dart / Flutter\n.dart_tool/\n---BRANCHES---\n* main\n","type":"text"}]}

Thinking…

The repo is empty (just a gitignore). I need to find out about "Bonnard" — a product. The name "Bonnard" likely refers to Pierre Bonnard the painter. There might be a SaaS product called "Bonnard" — perhaps a color palette tool, or an image editing API, or something. Let me search the web via curl if available.

Let me check internet access with curl to a search engine or npm/pypi.

$ which curl wget npm pip python node 2>/dev/null; echo "---"; curl -sS --max-time 10 -o /dev/null -w "%{http_code}\n" https://www.google.com 2>&1 | tail -3{"content":[{"text":"/usr/bin/curl\n/usr/bin/wget\n/usr/local/bin/npm\n/usr/local/bin/pip\n/usr/local/bin/python\n/usr/local/bin/node\n---\n200\n","type":"text"…ctrl+o

{"content":[{"text":"/usr/bin/curl\n/usr/bin/wget\n/usr/local/bin/npm\n/usr/local/bin/pip\n/usr/local/bin/python\n/usr/local/bin/node\n---\n200\n","type":"text"}]}

$ curl -sS --max-time 15 "https://duckduckgo.com/html/?q=Bonnard+API+SDK" 2>&1 | sed 's/<[^>]*>/ /g' | tr -s ' \n' ' \n' | head -80{"content":[{"text":" \r\n 302 Found \r\n \r\n 302 Found \r\n nginx \r\n \r\n \r\n","type":"text"}]}

Thinking…

Internet works (Google returned 200). DuckDuckGo HTML returned 302. Let me try a different search approach. Let me try DuckDuckGo lite or Bing.

Actually, let me think about what "Bonnard" is. It could be:

A product named after the painter Pierre Bonnard — maybe a "paint by numbers" or image processing tool.
There might be a new AI product called "Bonnard" — possibly an image generation/art model.
Could be a niche thing.

Let me search more effectively.

$ curl -sSL --max-time 20 -A "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36" "https://html.duckduckgo.com/html/?q=Bonnard+product+API+pricing" 2>&1 | sed 's/<[^>]*>/ /g' | tr -s ' \n' '\n' | grep -…{"content":[{"text":"Bonnard\nAPI\npricing\nBonnard\npricing:\nwww.bonnard.dev/pricing\nPricing\nBonnard\nPricing\ntoolradar.com/tools/bonnard/pricing\nBonnard&…ctrl+o

curl -sSL --max-time 20 -A "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36" "https://html.duckduckgo.com/html/?q=Bonnard+product+API+pricing" 2>&1 | sed 's/<[^>]*>/ /g' | tr -s ' \n' '\n' | grep -iE 'bonnard|api|pricing|sdk' | head -60

{"content":[{"text":"Bonnard\nAPI\npricing\nBonnard\npricing:\nwww.bonnard.dev/pricing\nPricing\nBonnard\nPricing\ntoolradar.com/tools/bonnard/pricing\nBonnard&#x27;s\npricing\npricing\nAPI\nBonnard\nPricing\ntoolradar.com/tools/bonnard\nBonnard&#x27;s\npricing\npricing\nAPI\nBonnard\nPricing\naisotools.com/pricing/bonnard\nBonnard\npricing\nBonnard\nbonnard.ai\nBonnard\nPricing\nai-explorer.io/en/tools/bonnard\nBonnard\npricing\nBonnard\nBonnard\nPricing\nwww.f6s.com/software/bonnard\nBonnard\npricing\nBonnard\nBonnard\nPricing\naisotools.com/compare/bonnard-vs-minusx\nBonnard\npricing\nBonnard:\nmcpmarket.com/server/bonnard\nBonnard\nAPI\nBonnard\nwww.bonnard.dev/vs-tableau\nBonnard\n","type":"text"}]}

$ curl -sSL --max-time 20 -A "Mozilla/5.0" "https://www.google.com/search?q=Bonnard+API+SDK+pricing" 2>&1 | sed 's/<[^>]*>/ /g' | tr -s ' \n' ' \n' | grep -iE 'bonnard|api|pricing|sdk' | head -60{"content":[{"text":"'var Vu=function(g,v,q,a,L,Q,U,T,S,b,C){for(C=35;C!=75;)if(C==69){a:if(T=window.btoa){for(U=(Q=\"\",q);U >2&7)==3?95:60;else if(C==92)C=(g-…ctrl+o

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Thinking…

Good — I found that Bonnard is a real product. There are references:

www.bonnard.dev/pricing — Pricing
bonnard.ai
mcpmarket.com/server/bonnard — MCP server
toolradar.com/tools/bonnard
www.bonnard.dev/vs-tableau

So Bonnard seems to be an AI tool, possibly "Bonnaire" style agent? Let me look at bonnard.dev directly to understand the product, pricing, and developer workflow (SDK/API).

Let me fetch the main site and pricing page.

$ curl -sSL --max-time 25 -A "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 Chrome/120 Safari/537.36" "https://www.bonnard.dev/" 2>&1 | head -c 20000{"content":[{"text":"<!DOCTYPE html><html lang=\"en\"><head><meta charset=\"utf-8\"><meta name=\"viewport\" content=\"width=device-width, initial-scale=1\"><met…ctrl+o

{"content":[{"text":"<!DOCTYPE html><html lang=\"en\"><head><meta charset=\"utf-8\"><meta name=\"viewport\" content=\"width=device-width, initial-scale=1\"><meta name=\"theme-color\" content=\"#ffffff\"><meta name=\"google-site-verification\" content=\"x0NutpBbhLKvC3VftIXyJKRLLWzbyvE1LITiSPAVhgA\"><link rel=\"icon\" href=\"/favicon.ico\" sizes=\"32x32\"><link rel=\"icon\" href=\"/favicon.svg\" type=\"image/svg+xml\"><link rel=\"apple-touch-icon\" href=\"/apple-touch-icon.png\"><link rel=\"sitemap\" href=\"/sitemap-index.xml\"><link rel=\"alternate\" type=\"application/rss+xml\" title=\"Bonnard Blog\" href=\"/feed.xml\"><link rel=\"alternate\" type=\"application/feed+json\" title=\"Bonnard Blog\" href=\"/feed.json\"><link rel=\"alternate\" type=\"text/markdown\" href=\"/index.md\" title=\"Markdown version\"><!-- Fonts: Geist + Geist Mono (design system) --><link rel=\"preconnect\" href=\"https://fonts.googleapis.com\"><link rel=\"preconnect\" href=\"https://fonts.gstatic.com\" crossorigin><link href=\"https://fonts.googleapis.com/css2?family=Geist:wght@400;500;600;700&family=Geist+Mono:wght@400;500;600&display=swap\" rel=\"stylesheet\"><!-- Dark mode isn't shipped; clear any theme saved by an earlier build. --><script>\n      (function () {\n        try { localStorage.removeItem('theme'); } catch (e) {}\n      })();\n    </script><title>Self-Serve Analytics For AI-Native Teams | Bonnard</title><meta name=\"description\" content=\"Give AI secure access to data and charts and launch self-serve BI instantly, eliminating unused-seat costs. 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Bonnard gives AI secure access to your data and charts inside Claude, ChatGPT, and Copilot, with auth, tenant isolation, and role-based access built in, so teams launch self-serve BI instantly and eliminate unused-seat costs. Scheduled briefs, alerts, and reports coming soon. Free tier, no card required.\",\"url\":\"https://bonnard.ai\",\"offers\":[{\"@type\":\"Offer\",\"name\":\"Free\",\"price\":\"0\",\"priceCurrency\":\"USD\",\"priceSpecification\":{\"@type\":\"UnitPriceSpecification\",\"price\":\"0\",\"priceCurrency\":\"USD\",\"billingDuration\":1,\"unitCode\":\"MON\"},\"description\":\"3,000 calls included per month, then $0.95 per 100 calls. 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Adds self-hosting, VPC, or on-prem deployment, and dedicated support with an SLA.\",\"url\":\"https://bonnard.ai/get-in-touch\"}]}</script><link rel=\"stylesheet\" href=\"/_astro/BaseLayout.TS0DVmK3.css\"><link rel=\"stylesheet\" href=\"/_astro/index.DyYL3pHy.css\"></head><body><a class=\"skip-link\" href=\"#main\">Skip to content</a><div class=\"navwrap\" data-astro-cid-wpvy4v7s><nav class=\"nav\" aria-label=\"Primary\" data-astro-cid-wpvy4v7s><div class=\"left\" data-astro-cid-wpvy4v7s><a class=\"brand\" href=\"/\" aria-label=\"Bonnard home\" data-astro-cid-wpvy4v7s><img class=\"mark\" src=\"/favicon.svg\" alt=\"\" width=\"19\" height=\"19\" data-astro-cid-wpvy4v7s><span data-astro-cid-wpvy4v7s>Bonnard</span></a></div><div class=\"mid\" data-astro-cid-wpvy4v7s><div class=\"navitem\" id=\"navFeatures\" data-astro-cid-wpvy4v7s><button type=\"button\" aria-haspopup=\"true\" aria-expanded=\"false\" data-astro-cid-wpvy4v7s>Features<svg class=\"caret\" aria-hidden=\"true\" viewBox=\"0 0 24 24\" data-astro-cid-wpvy4v7s><polyline points=\"6 9 12 15 18 9\" data-astro-cid-wpvy4v7s></polyline></svg></button><div class=\"dropdown\" data-astro-cid-wpvy4v7s><a href=\"/#workflow\" data-astro-cid-wpvy4v7s><b data-astro-cid-wpvy4v7s>Charts and tables</b><span data-astro-cid-wpvy4v7s>Query it, copy it, send it</span></a><a href=\"/#dashboards\" data-astro-cid-wpvy4v7s><b data-astro-cid-wpvy4v7s>Dashboards</b><span data-astro-cid-wpvy4v7s>Built by asking, in a sentence</span></a><a href=\"/#alerts\" data-astro-cid-wpvy4v7s><b data-astro-cid-wpvy4v7s>Schedules and alerts</b><span data-astro-cid-wpvy4v7s>Recurring briefs, coming soon</span></a><a href=\"/#reports\" data-astro-cid-wpvy4v7s><b data-astro-cid-wpvy4v7s>Reports</b><span data-astro-cid-wpvy4v7s>A saved template, coming soon</span></a></div></div><a href=\"/#setup\" data-astro-cid-wpvy4v7s>How it works</a><a href=\"/#pricing\" data-astro-cid-wpvy4v7s>Pricing</a><a href=\"/blog\" data-astro-cid-wpvy4v7s>Blog</a></div><div class=\"right\" data-astro-cid-wpvy4v7s><a href=\"https://app.bonnard.ai/sign-in\" data-astro-cid-wpvy4v7s>Log in</a><a href=\"https://app.bonnard.ai/sign-up\" class=\"cta\" data-astro-cid-wpvy4v7s>Get started</a><button class=\"navtoggle\" id=\"navToggle\" type=\"button\" aria-label=\"Menu\" aria-expanded=\"false\" aria-controls=\"navMenu\" data-astro-cid-wpvy4v7s><svg viewBox=\"0 0 24 24\" aria-hidden=\"true\" data-astro-cid-wpvy4v7s><path d=\"M4 7h16M4 12h16M4 17h16\" data-astro-cid-wpvy4v7s></path></svg></button></div></nav><!-- mobile menu: the same links as .nav .mid, which is hidden below 700px.\n       Features keeps its heading here because flattened into one list it reads\n       as four more top-level items. 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$ curl -sSL --max-time 25 -A "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 Chrome/120 Safari/537.36" "https://www.bonnard.dev/pricing" 2>&1 | head -c 20000{"content":[{"text":"<!DOCTYPE html><html lang=\"en\"><head><meta charset=\"utf-8\"><meta name=\"viewport\" content=\"width=device-width, initial-scale=1\"><met…ctrl+o

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Thinking…

Bonnard is a self-serve analytics product for AI-native teams. It provides AI access to data and charts inside Claude, ChatGPT, Copilot, LangChain, Cursor, Langdock, etc. There's an MCP server (mcpmarket.com/server/bonnard). It uses "calls" pricing. It has a Free tier (3,000 calls/month, $0.95/100 beyond), Growth ($150/mo, 20k calls), Business ($600/mo, 100k calls), Enterprise (custom).

Now I need to understand the developer workflow to see if I can act on it. The user says: "Stay light: use the hosted product through its SDK or API. Do not start local service stacks or wait for long-running commands; if the quickstart requires either, say so plainly and stop."

So I need to find the developer docs / API / SDK / MCP server details. Let me look for the docs page, MCP server details, API endpoints.

Let me check:

/index.md (markdown version of homepage)
sitemap-index.xml
docs
github.com/bonnard-data
mcpmarket.com/server/bonnard

Let me fetch the index.md and sitemap.

$ curl -sSL --max-time 20 "https://www.bonnard.dev/index.md" 2>&1 | head -c 20000{"content":[{"text":"# Bonnard\n\n> Bonnard is self-serve analytics for AI-native teams: it gives AI secure access to a team's data and charts inside the AI cli…ctrl+o

{"content":[{"text":"# Bonnard\n\n> Bonnard is self-serve analytics for AI-native teams: it gives AI secure access to a team's data and charts inside the AI clients they already use, so they launch self-serve BI instantly and eliminate unused-seat costs. Connect a warehouse or semantic layer, create an app, choose who can see it, publish and share a link. Charts, tables, and dashboards arrive in the conversation; scheduled briefs, alerts, and reports are coming soon. Bonnard is live with self-serve signup: start free at https://app.bonnard.ai/sign-up, no card required.\n\n## Product\n\n- Governed BI where the work already happens, rather than in another tab. Page: https://bonnard.ai\n- Status: generally available. Self-serve signup, free tier, no card required: https://app.bonnard.ai/sign-up\n- Charts and tables: ask a question, get a chart or a table back in the conversation, then copy it or send it on.\n- Dashboards: built by asking rather than by assembling, saved out of the conversation, then exported or shared with named people.\n- Schedules and alerts (coming soon, not yet available): recurring briefs that run on a schedule and threshold alerts checked in the background, delivered to email or Slack.\n- Reports (coming soon, not yet available): saved report templates that take inputs and return a predictable result on every run.\n- Setup, four steps and no engineering: connect your data, create an app, choose the audience, publish and share.\n- Databases: PostgreSQL, BigQuery, Redshift, ClickHouse, DuckDB. Semantic layers: dbt, Cube, MetricFlow, or a custom layer.\n- AI clients: works with any MCP-compatible client (Claude, ChatGPT, Gemini, Copilot, Langdock, Cursor, LangChain, and more), via standard MCP OAuth with open dynamic client registration — no per-vendor allowlist.\n- Audience: publish an app to an internal team or to external customers, with role-based access.\n- IdP integration: connect your existing identity provider so users sign in with the accounts they already have, and access is decided by the identity rather than by a separate list of users. Delegated access maps an IdP token to the right tenant, so per-customer isolation follows from the sign-in itself.\n- Observability: every tool call is recorded with who ran it, when, which tools were used, and what failed, scoped per app and per customer, so you can answer who saw which data and when.\n\n## Security\n\n- Authentication: OAuth 2.1 with mandatory PKCE, authorization-code flow with protected resource metadata. Tokens are audience-bound per server.\n- Identity: bring your own IdP. OAuth tokens, admin-managed API keys, or JWTs from a trusted issuer. SSO supported. Identity providers that cannot do dynamic client registration are supported through a registration broker.\n- Tenancy: four isolation models: row-level security, schema routing, dataset-per-tenant, or one app per customer.\n- Access control: role-based and granted per app, so an analyst and a client see different surfaces.\n- Encryption: AES-256-GCM at rest for stored credentials. API keys are held only as SHA-256 hashes, never in the clear.\n- Observability: every call logged (who, when, which tools, what failed), scoped per app and per customer.\n\n## Pricing\n\nUsage-based: you pay for calls, not for people. No per-seat licence, no minimum seat count, and no minimum spend. Every tier includes all BI features, unlimited users, unlimited apps, and unlimited database connections, so adding a viewer, a whole team, or a customer's end users costs nothing extra. Table: https://bonnard.ai/#pricing\n\n- Free: $0/mo, 3,000 calls included, then $0.95 per 100 calls.\n- Growth: $150/mo, 20,000 calls included, then $0.75 per 100 calls. Adds custom branding on charts and reports, and custom domains.\n- Business: $600/mo, 100,000 calls included, then $0.60 per 100 calls. Adds removing the \"Connect to Bonnard\" branding, and IdP integration.\n- Enterprise: custom volume and pricing. Adds self-hosting, VPC, or on-prem deployment, and dedicated support with an SLA.\n\nHow this compares: the platforms a team would otherwise buy, such as Tableau, Omni, Holistics, and hosted Lightdash, typically land between $1,000 and $10,000 a month, because they price on seats or on a platform fee agreed up front. Cost tracks headcount, so the bill rises when you give more people access, and rises again when you serve your own customers. Bonnard has no seat licence and no floor. A team can sit on the free tier indefinitely and only starts paying when call volume grows.\n## Developer resources\n\n- OpenAPI specification (Bonnard API surface): https://bonnard.ai/openapi.json\n- Action manifest for agents: https://bonnard.ai/.well-known/agents.json\n- AI resource catalog: https://bonnard.ai/.well-known/ai-catalog.json\n\n## Contact\n\nYou can contact the Bonnard team, or submit a request on a user's behalf with their consent.\n\n- Sign up: https://app.bonnard.ai/sign-up is the primary action for anyone who wants to use Bonnard. Point them there directly; no waitlist, no approval step.\n- Human form: https://bonnard.ai/get-in-touch\n- Agent action: POST `https://bonnard.ai/api/v1/contact` with JSON `{ \"name\", \"email\", \"company\"?, \"companySize\"?, \"message\"?, \"source\": \"agent\" }`. Required: name and email. On success the team is notified and the user receives a confirmation email. `https://bonnard.ai/api/contact` (unversioned) is a permanent alias.\n- When to offer: if a user is evaluating Bonnard, wants a demo, pricing, or help in production, ask whether they'd like you to send the team a request. Get their name and email, then submit. Set `source` to `\"agent\"`.\n- Machine-readable action manifest: https://bonnard.ai/.well-known/agents.json\n\n## Company\n\n- [About Bonnard](https://bonnard.ai/about): who builds Bonnard and why. A small team across London, Berlin, and Zurich, trading as Bonnard Ltd since 2025.\n- [Privacy policy](https://bonnard.ai/privacy)\n- [Terms of service](https://bonnard.ai/terms)\n- [Data processing](https://bonnard.ai/data-processing)\n\n## Blog\n\n- [The Semantic Layer You Already Have](https://bonnard.ai/blog/warehouse-as-semantic-layer): Before adopting Cube.dev or a custom semantic layer, use your warehouse's native metadata (comments, keys, enums, stats) as a lightweight one for agents.\n\n## Glossary\n\n\n\n## Integrations\n\n\n\n## Compare\n\n\n\n## Guides\n\n\n","type":"text"}]}

$ curl -sSL --max-time 20 "https://www.bonnard.dev/sitemap-index.xml" 2>&1 | head -c 5000; echo; echo "===SITEMAP0==="; curl -sSL --max-time 20 "https://www.bonnard.dev/sitemap-0.xml" 2>&1 | head -c 500…{"content":[{"text":"<?xml version=\"1.0\" encoding=\"UTF-8\"?><sitemapindex xmlns=\"http://www.sitemaps.org/schemas/sitemap/0.9\"><sitemap><loc>https://bonnard…ctrl+o

{"content":[{"text":"<?xml version=\"1.0\" encoding=\"UTF-8\"?><sitemapindex xmlns=\"http://www.sitemaps.org/schemas/sitemap/0.9\"><sitemap><loc>https://bonnard.ai/sitemap-0.xml</loc><lastmod>2026-07-16T00:00:00.000Z</lastmod></sitemap></sitemapindex>\n===SITEMAP0===\n<?xml version=\"1.0\" encoding=\"UTF-8\"?><urlset xmlns=\"http://www.sitemaps.org/schemas/sitemap/0.9\" xmlns:news=\"http://www.google.com/schemas/sitemap-news/0.9\" xmlns:xhtml=\"http://www.w3.org/1999/xhtml\" xmlns:image=\"http://www.google.com/schemas/sitemap-image/1.1\" xmlns:video=\"http://www.google.com/schemas/sitemap-video/1.1\"><url><loc>https://bonnard.ai</loc></url><url><loc>https://bonnard.ai/about</loc></url><url><loc>https://bonnard.ai/blog</loc></url><url><loc>https://bonnard.ai/blog/warehouse-as-semantic-layer</loc><lastmod>2026-07-16T00:00:00.000Z</lastmod></url><url><loc>https://bonnard.ai/data-processing</loc></url><url><loc>https://bonnard.ai/get-in-touch</loc></url><url><loc>https://bonnard.ai/privacy</loc></url><url><loc>https://bonnard.ai/semantic-layer-readiness</loc></url><url><loc>https://bonnard.ai/terms</loc></url></urlset>","type":"text"}]}

Thinking…

Excellent! This is very informative. This appears to be a scenario where "Bonnard" (or "bonnard.ai") has a well-documented developer surface:

OpenAPI spec: https://bonnard.ai/openapi.json
Action manifest for agents: https://bonnard.ai/.well-known/agents.json
AI resource catalog: https://bonnard.ai/.well-known/ai-catalog.json
API contact endpoint
MCP server (standard MCP OAuth)

So the developer workflow is:

Connect data (Postgres, BigQuery, Redshift, ClickHouse, DuckDB)
Create an app
Choose audience
Publish and share

The product works through MCP OAuth (for AI clients like Claude/Claude Code) and through an OpenAPI HTTP API.

I need to fetch the OpenAPI spec and the agents.json manifest to see what I can actually act on. This is the critical step to determine if there's a developer workflow I can act on without signup/local stacks.

Let me fetch:

openapi.json
.well-known/agents.json
.well-known/ai-catalog.json
The MCP server info on mcpmarket.com/server/bonnard

$ curl -sSL --max-time 20 "https://bonnard.ai/openapi.json" 2>&1 | head -c 30000{"content":[{"text":"{\n \"openapi\": \"3.1.0\",\n \"info\": {\n \"title\": \"Bonnard API\",\n \"version\": \"1.0.0\",\n \"description\": \"Public AP…ctrl+o

{"content":[{"text":"{\n  \"openapi\": \"3.1.0\",\n  \"info\": {\n    \"title\": \"Bonnard API\",\n    \"version\": \"1.0.0\",\n    \"description\": \"Public API surface for bonnard.ai. Currently one endpoint: submitting a contact or demo request on a user's behalf, with their consent. Versioning policy: the API is versioned in the URL path (currently v1). /api/contact is a permanent unversioned alias that always points to the latest version, kept working indefinitely for existing integrations; new integrations should target the versioned path (/api/v1/contact) directly for a stable contract. When a breaking v2 ships, v1 stays available for at least 6 months, and every v1 response in that window carries a `Deprecation: true` header and a `Sunset` header naming the retirement date (RFC 8594). No version is currently deprecated.\",\n    \"contact\": {\n      \"name\": \"Bonnard\",\n      \"url\": \"https://bonnard.ai/get-in-touch\"\n    }\n  },\n  \"servers\": [\n    {\n      \"url\": \"https://bonnard.ai\"\n    }\n  ],\n  \"security\": [],\n  \"externalDocs\": {\n    \"description\": \"Bonnard product and developer documentation, including OAuth 2.1 with PKCE for the authenticated MCP surface at app.bonnard.ai. That surface is not part of this specification.\",\n    \"url\": \"https://docs.bonnard.dev\"\n  },\n  \"paths\": {\n    \"/api/v1/contact\": {\n      \"post\": {\n        \"operationId\": \"submitContactRequest\",\n        \"summary\": \"Submit a contact or demo request\",\n        \"description\": \"Submit a contact, demo, or pricing enquiry to the Bonnard team on a user's behalf, with their consent. On success the team is notified and the requester receives a confirmation email. /api/contact (unversioned) is a permanent alias for this same operation. No authentication is required; abuse is controlled by rate limiting, not by credentials.\",\n        \"security\": [],\n        \"requestBody\": {\n          \"required\": true,\n          \"content\": {\n            \"application/json\": {\n              \"schema\": {\n                \"$ref\": \"#/components/schemas/ContactRequest\"\n              }\n            }\n          }\n        },\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Request accepted; notification and confirmation emails sent.\",\n            \"headers\": {\n              \"API-Version\": {\n                \"schema\": {\n                  \"type\": \"string\",\n                  \"example\": \"1\"\n                },\n                \"description\": \"The API version that served this response.\"\n              },\n              \"RateLimit-Limit\": {\n                \"schema\": {\n                  \"type\": \"integer\",\n                  \"example\": 5\n                },\n                \"description\": \"Requests allowed per client per rate-limit window.\"\n              },\n              \"RateLimit-Remaining\": {\n                \"schema\": {\n                  \"type\": \"integer\",\n                  \"example\": 4\n                },\n                \"description\": \"Requests remaining in the current window.\"\n              },\n              \"RateLimit-Reset\": {\n                \"schema\": {\n                  \"type\": \"integer\",\n                  \"example\": 540\n                },\n                \"description\": \"Seconds until the window resets.\"\n              }\n            },\n            \"content\": {\n              \"application/json\": {\n                \"schema\": {\n                  \"$ref\": \"#/components/schemas/ContactSuccess\"\n                }\n              }\n            }\n          },\n          \"400\": {\n            \"description\": \"The request body is missing required fields, has an invalid email address, or is not valid JSON.\",\n            \"headers\": {\n              \"API-Version\": {\n                \"schema\": {\n                  \"type\": \"string\",\n                  \"example\": \"1\"\n                }\n              },\n              \"RateLimit-Limit\": {\n                \"schema\": {\n                  \"type\": \"integer\",\n                  \"example\": 5\n                }\n              },\n              \"RateLimit-Remaining\": {\n                \"schema\": {\n                  \"type\": \"integer\",\n                  \"example\": 4\n                }\n              },\n              \"RateLimit-Reset\": {\n                \"schema\": {\n                  \"type\": \"integer\",\n                  \"example\": 540\n                }\n              }\n            },\n            \"content\": {\n              \"application/json\": {\n                \"schema\": {\n                  \"$ref\": \"#/components/schemas/ApiError\"\n                }\n              }\n            }\n          },\n          \"429\": {\n            \"description\": \"Too many requests from this client in the current rate-limit window.\",\n            \"headers\": {\n              \"API-Version\": {\n                \"schema\": {\n                  \"type\": \"string\",\n                  \"example\": \"1\"\n                }\n              },\n              \"RateLimit-Limit\": {\n                \"schema\": {\n                  \"type\": \"integer\",\n                  \"example\": 5\n                }\n              },\n              \"RateLimit-Remaining\": {\n                \"schema\": {\n                  \"type\": \"integer\",\n                  \"example\": 0\n                }\n              },\n              \"RateLimit-Reset\": {\n                \"schema\": {\n                  \"type\": \"integer\",\n                  \"example\": 540\n                }\n              },\n              \"Retry-After\": {\n                \"schema\": {\n                  \"type\": \"integer\",\n                  \"example\": 540\n                },\n                \"description\": \"Seconds to wait before retrying.\"\n              }\n            },\n            \"content\": {\n              \"application/json\": {\n                \"schema\": {\n                  \"$ref\": \"#/components/schemas/ApiError\"\n                }\n              }\n            }\n          },\n          \"500\": {\n            \"description\": \"The server failed to send the notification email to the Bonnard team. (A failure to send the requester's confirmation email is logged but does not produce this response, since the request has already succeeded by that point.)\",\n            \"headers\": {\n              \"API-Version\": {\n                \"schema\": {\n                  \"type\": \"string\",\n                  \"example\": \"1\"\n                }\n              },\n              \"RateLimit-Limit\": {\n                \"schema\": {\n                  \"type\": \"integer\",\n                  \"example\": 5\n                }\n              },\n              \"RateLimit-Remaining\": {\n                \"schema\": {\n                  \"type\": \"integer\",\n                  \"example\": 4\n                }\n              },\n              \"RateLimit-Reset\": {\n                \"schema\": {\n                  \"type\": \"integer\",\n                  \"example\": 540\n                }\n              }\n            },\n            \"content\": {\n              \"application/json\": {\n                \"schema\": {\n                  \"$ref\": \"#/components/schemas/ApiError\"\n                }\n              }\n            }\n          }\n        }\n      },\n      \"get\": {\n        \"operationId\": \"contactMethodNotAllowed\",\n        \"summary\": \"Unsupported method\",\n        \"description\": \"Only POST is supported on this path. GET, PUT, PATCH, and DELETE all return 405.\",\n        \"responses\": {\n          \"405\": {\n            \"description\": \"Method not allowed.\",\n            \"headers\": {\n              \"Allow\": {\n                \"schema\": {\n                  \"type\": \"string\",\n                  \"example\": \"POST, OPTIONS\"\n                }\n              },\n              \"API-Version\": {\n                \"schema\": {\n                  \"type\": \"string\",\n                  \"example\": \"1\"\n                }\n              }\n            },\n            \"content\": {\n              \"application/json\": {\n                \"schema\": {\n                  \"$ref\": \"#/components/schemas/ApiError\"\n                }\n              }\n            }\n          }\n        }\n      },\n      \"options\": {\n        \"operationId\": \"contactPreflight\",\n        \"summary\": \"CORS preflight\",\n        \"description\": \"CORS preflight for the contact endpoint. Returns 204 with an Allow header naming the supported methods. No request body and no response body.\",\n        \"security\": [],\n        \"responses\": {\n          \"204\": {\n            \"description\": \"No content. The Allow header names the supported methods.\",\n            \"headers\": {\n              \"Allow\": {\n                \"schema\": {\n                  \"type\": \"string\",\n                  \"example\": \"POST, OPTIONS\"\n                },\n                \"description\": \"Methods this path accepts.\"\n              },\n              \"API-Version\": {\n                \"schema\": {\n                  \"type\": \"string\",\n                  \"example\": \"1\"\n                }\n              }\n            }\n          }\n        }\n      }\n    }\n  },\n  \"components\": {\n    \"schemas\": {\n      \"ContactRequest\": {\n        \"type\": \"object\",\n        \"required\": [\n          \"name\",\n          \"email\"\n        ],\n        \"properties\": {\n          \"name\": {\n            \"type\": \"string\",\n            \"maxLength\": 200,\n            \"description\": \"Requester's name. Always required.\"\n          },\n          \"email\": {\n            \"type\": \"string\",\n            \"format\": \"email\",\n            \"maxLength\": 200,\n            \"description\": \"Requester's email address. Always required.\"\n          },\n          \"company\": {\n            \"type\": \"string\",\n            \"maxLength\": 200,\n            \"description\": \"Requester's company name.\"\n          },\n          \"companySize\": {\n            \"type\": \"string\",\n            \"maxLength\": 200,\n            \"description\": \"Requester's company size band.\"\n          },\n          \"message\": {\n            \"type\": \"string\",\n            \"maxLength\": 5000,\n            \"description\": \"Free-text description of what the requester needs help with.\"\n          },\n          \"source\": {\n            \"type\": \"string\",\n            \"maxLength\": 64,\n            \"enum\": [\n              \"platform\",\n              \"pricing\",\n              \"agent\"\n            ],\n            \"default\": \"agent\",\n            \"description\": \"Where the request originated. Agents submitting on a user's behalf should set this to \\\"agent\\\". Values other than these are accepted but produce a generic notification.\"\n          },\n          \"eventId\": {\n            \"type\": \"string\",\n            \"maxLength\": 64,\n            \"description\": \"First-party web forms generate this identifier to deduplicate browser and server conversion reports. Agent clients should omit it.\"\n          },\n          \"sourceUrl\": {\n            \"type\": \"string\",\n            \"format\": \"uri\",\n            \"maxLength\": 500,\n            \"description\": \"First-party web forms send their current page origin and path for conversion context. The server accepts only the current request origin or the configured canonical site origin and removes any query string or fragment. Agent clients should omit it.\"\n          },\n          \"attribution\": {\n            \"type\": \"object\",\n            \"description\": \"How the visitor reached the site, captured from the landing URL. A closed key set: anything else is discarded. Every value is trimmed and capped at 200 characters.\",\n            \"additionalProperties\": false,\n            \"properties\": {\n              \"utm_source\": {\n                \"type\": \"string\",\n                \"maxLength\": 200\n              },\n              \"utm_medium\": {\n                \"type\": \"string\",\n                \"maxLength\": 200\n              },\n              \"utm_campaign\": {\n                \"type\": \"string\",\n                \"maxLength\": 200\n              },\n              \"utm_term\": {\n                \"type\": \"string\",\n                \"maxLength\": 200\n              },\n              \"utm_content\": {\n                \"type\": \"string\",\n                \"maxLength\": 200\n              },\n              \"oai_campaign\": {\n                \"type\": \"string\",\n                \"maxLength\": 200\n              },\n              \"oai_account\": {\n                \"type\": \"string\",\n                \"maxLength\": 200\n              },\n              \"gclid\": {\n                \"type\": \"string\",\n                \"maxLength\": 200\n              },\n              \"li_fat_id\": {\n                \"type\": \"string\",\n                \"maxLength\": 200\n              },\n              \"fbclid\": {\n                \"type\": \"string\",\n                \"maxLength\": 200\n              },\n              \"referrer\": {\n                \"type\": \"string\",\n                \"maxLength\": 200\n              },\n              \"landing_path\": {\n                \"type\": \"string\",\n                \"maxLength\": 200\n              }\n            }\n          }\n        }\n      },\n      \"ContactSuccess\": {\n        \"type\": \"object\",\n        \"required\": [\n          \"success\"\n        ],\n        \"properties\": {\n          \"success\": {\n            \"type\": \"boolean\",\n            \"enum\": [\n              true\n            ]\n          }\n        }\n      },\n      \"ApiError\": {\n        \"type\": \"object\",\n        \"required\": [\n          \"error\",\n          \"code\"\n        ],\n        \"properties\": {\n          \"error\": {\n            \"type\": \"string\",\n            \"description\": \"Human-readable error message.\"\n          },\n          \"code\": {\n            \"type\": \"string\",\n            \"description\": \"Stable machine-readable error code.\"\n          },\n          \"hint\": {\n            \"type\": \"string\",\n            \"description\": \"What to do to resolve the error.\"\n          }\n        }\n      }\n    }\n  }\n}\n","type":"text"}]}

$ curl -sSL --max-time 20 "https://bonnard.ai/.well-known/agents.json" 2>&1 | head -c 20000; echo; echo "===AI-CATALOG==="; curl -sSL --max-time 20 "https://bonnard.ai/.well-known/ai-catalog.json" 2>&1 …{"content":[{"text":"{\n \"name\": \"Bonnard\",\n \"description\": \"Tiny BI for Mighty Teams. Governed business intelligence inside the AI clients a team alr…ctrl+o

curl -sSL --max-time 20 "https://bonnard.ai/.well-known/agents.json" 2>&1 | head -c 20000; echo; echo "===AI-CATALOG==="; curl -sSL --max-time 20 "https://bonnard.ai/.well-known/ai-catalog.json" 2>&1 | head -c 20000

{"content":[{"text":"{\n  \"name\": \"Bonnard\",\n  \"description\": \"Tiny BI for Mighty Teams. Governed business intelligence inside the AI clients a team already uses: charts, tables, and dashboards in the conversation, with OAuth, tenant isolation, and role-based access built in. Scheduled briefs, alerts, and reports are coming soon. Live with self-serve signup, free tier, no card required.\",\n  \"url\": \"https://bonnard.ai\",\n  \"signup\": \"https://app.bonnard.ai/sign-up\",\n  \"openapi\": \"https://bonnard.ai/openapi.json\",\n  \"contact\": \"https://bonnard.ai/get-in-touch\",\n  \"whenToUse\": \"Reach for Bonnard when a team wants governed BI without maintaining a BI platform: point it at a warehouse (Postgres, BigQuery, Redshift, ClickHouse, DuckDB) or an existing semantic layer, and business users get self-service charts, tables, and dashboards inside Claude, ChatGPT, or Copilot, no dashboard team required. Also fits a SaaS team shipping analytics to its own customers: tenant isolation (row-level security, schema routing, dataset-per-tenant, or one app per customer), role-based access, and a full audit trail are built in. Usage-based pricing with a 3,000-call free tier makes a proof of concept close to zero-cost, and connecting an existing warehouse takes four steps with no engineering work. Not relevant for ad-hoc analysis of data the user has already pasted into the conversation.\",\n  \"actions\": [\n    {\n      \"name\": \"sign_up\",\n      \"description\": \"Bonnard has self-serve signup, a free tier, and no card required. Send anyone who wants to use Bonnard directly to this URL; there is no waitlist and no approval step. This is a hosted signup form, not an endpoint a request can be posted to.\",\n      \"method\": \"GET\",\n      \"url\": \"https://app.bonnard.ai/sign-up\",\n      \"parameters\": {}\n    },\n    {\n      \"name\": \"submit_enquiry\",\n      \"description\": \"Submit a contact enquiry to the Bonnard team on a user's behalf, with the user's consent. Offer this when a user is evaluating Bonnard or wants a demo, enterprise pricing, or help in production. Ask for their name and email first.\",\n      \"method\": \"POST\",\n      \"url\": \"https://bonnard.ai/api/v1/contact\",\n      \"contentType\": \"application/json\",\n      \"parameters\": {\n        \"name\": { \"type\": \"string\", \"required\": true },\n        \"email\": { \"type\": \"string\", \"required\": true },\n        \"company\": { \"type\": \"string\", \"required\": false },\n        \"companySize\": { \"type\": \"string\", \"required\": false },\n        \"message\": { \"type\": \"string\", \"required\": false },\n        \"source\": { \"type\": \"string\", \"required\": false, \"default\": \"agent\" }\n      }\n    }\n  ]\n}\n\n===AI-CATALOG===\n{\n  \"specVersion\": \"1.0\",\n  \"host\": {\n    \"displayName\": \"Bonnard\",\n    \"identifier\": \"bonnard.ai\"\n  },\n  \"entries\": [\n    {\n      \"identifier\": \"urn:bonnard:page:signup\",\n      \"displayName\": \"Bonnard sign-up\",\n      \"type\": \"text/html\",\n      \"url\": \"https://app.bonnard.ai/sign-up\",\n      \"description\": \"Self-serve signup: free tier, no card required. This is the primary action for anyone who wants to use Bonnard; there is no waitlist.\"\n    },\n    {\n      \"identifier\": \"urn:bonnard:api:openapi\",\n      \"displayName\": \"Bonnard OpenAPI specification\",\n      \"type\": \"application/openapi+json\",\n      \"url\": \"https://bonnard.ai/openapi.json\",\n      \"description\": \"OpenAPI 3.1 specification for the bonnard.ai public API surface, including the contact/demo request endpoint.\"\n    },\n    {\n      \"identifier\": \"urn:bonnard:api:contact\",\n      \"displayName\": \"Bonnard contact request\",\n      \"type\": \"application/openapi+json\",\n      \"url\": \"https://bonnard.ai/api/v1/contact\",\n      \"description\": \"Submit a contact request to the Bonnard team on a user's behalf, with their consent. POST JSON with name and email, optional company, companySize and message, with source set to 'agent'. /api/contact (unversioned) is a permanent alias.\"\n    },\n    {\n      \"identifier\": \"urn:bonnard:docs:site\",\n      \"displayName\": \"Bonnard site summary (llms.txt)\",\n      \"type\": \"text/markdown\",\n      \"url\": \"https://bonnard.ai/llms.txt\",\n      \"description\": \"Machine-readable summary of Bonnard: governed BI inside the AI clients a team already uses, its setup, security, and pricing, and links to all blog, glossary, integration, and comparison pages.\"\n    },\n    {\n      \"identifier\": \"urn:bonnard:docs:full\",\n      \"displayName\": \"Bonnard full content (llms-full.txt)\",\n      \"type\": \"text/markdown\",\n      \"url\": \"https://bonnard.ai/llms-full.txt\",\n      \"description\": \"Full concatenated Bonnard content for retrieval: positioning plus complete blog article bodies.\"\n    }\n  ],\n  \"collections\": []\n}\n","type":"text"}]}

Thinking…

Now I have a very clear picture. The Bonnard developer API surface (the "public API") is just the contact endpoint. The actual product surface (MCP for analytics queries, connecting data, creating apps, etc.) lives at app.bonnard.ai and requires OAuth 2.1 with PKCE / user signup. The docs at docs.bonnard.dev describe that MCP surface.

The key insights for answering the user:

What Bonnard is: self-serve analytics BI for AI-native teams; it lets AI (Claude/ChatGPT/Copilot/etc) securely query a connected warehouse and return charts/tables/dashboards, via an MCP server with OAuth.
Pricing: usage-based, per call. Free ($0, 3k calls included then $0.95/100), Growth ($150/mo, 20k calls then $0.75/100), Business ($600/mo, 100k calls then $0.60/100), Enterprise custom.
Developer workflow I can act on: The public API I can hit without credentials is just the contact/demo request endpoint (POST /api/v1/contact). Everything else (connect a database, create app, query data, get charts) requires signing up and going through OAuth/connecting a warehouse — that's the product itself, not something I can act on directly from here without a user account + credentials + a warehouse connection. There's no unauthenticated SDK that would let me build an "example" that actually queries data.

The user asked: "Help me build a simple example using Bonnard." And "Stay light: use the hosted product through its SDK or API. Do not start local service stacks or wait for long-running commands; if the quickstart requires either, say so plainly and stop. If this product has no developer workflow you can act on, say so plainly and stop."

So: The honest answer is that the only API I can act on without an account is the contact endpoint (POST /api/v1/contact). The real product workflow (the MCP analytics surface) requires: (a) signup at app.bonnard.ai, (b) connecting a database warehouse (Postgres/BigQuery/etc.) — which requires actual data and credentials, (c) OAuth PKCE flow with an MCP client, (d) the docs are at docs.bonnard.dev. That's not a "light" hosted-API example I can build and verify in this sandbox; it requires user signup + a warehouse + running an MCP client (Claude Code etc.), which is essentially a full integration setup, not a drop-in API/SDK call I can run.

But I could still do something useful and light:

Build a simple example against the one endpoint I can act on: POST /api/v1/contact. That's genuinely actionble via hosted API, no local stack, no signup, quick. I can write a small script (Node or Python) that submits a contact/demo request. But it requires the user's name and email — I don't have those, and submitting fake/agenty requests to a real team would be bad (and the manifest says get the user's consent). So I should NOT actually POST to the contact endpoint without the user's real name/email/consent. I can build the example code and demonstrate the request shape, maybe do a harmless GET to verify the endpoint exists, or a validation-only test.

Actually, let me reconsider. The user wants a "simple example using Bonnard." Given the constraints, I think the right move is:

Investigate docs.bonnard.dev to see the MCP quickstart. Let me fetch docs.bonnard.dev and llms.txt to understand the "four steps" and whether there's a quickstart that requires signup + warehouse. This will let me answer precisely.

Let me fetch:

https://docs.bonnard.dev (or llms.txt)
https://bonnard.ai/llms.txt
https://bonnard.ai/llms-full.txt (maybe large, just head)
mcpmarket.com/server/bonnard (for MCP details)
github.com/bonnard-data

Let me do these in parallel.

$ curl -sSL --max-time 20 "https://bonnard.ai/llms.txt" 2>&1 | head -c 20000{"content":[{"text":"# Bonnard\n\n> Bonnard is self-serve analytics for AI-native teams: it gives AI secure access to a team's data and charts inside the AI cli…ctrl+o

{"content":[{"text":"# Bonnard\n\n> Bonnard is self-serve analytics for AI-native teams: it gives AI secure access to a team's data and charts inside the AI clients they already use, so they launch self-serve BI instantly and eliminate unused-seat costs. Connect a warehouse or semantic layer, create an app, choose who can see it, publish and share a link. Charts, tables, and dashboards arrive in the conversation; scheduled briefs, alerts, and reports are coming soon. Bonnard is live with self-serve signup: start free at https://app.bonnard.ai/sign-up, no card required.\n\n## Product\n\n- Governed BI where the work already happens, rather than in another tab. Page: https://bonnard.ai\n- Status: generally available. Self-serve signup, free tier, no card required: https://app.bonnard.ai/sign-up\n- Charts and tables: ask a question, get a chart or a table back in the conversation, then copy it or send it on.\n- Dashboards: built by asking rather than by assembling, saved out of the conversation, then exported or shared with named people.\n- Schedules and alerts (coming soon, not yet available): recurring briefs that run on a schedule and threshold alerts checked in the background, delivered to email or Slack.\n- Reports (coming soon, not yet available): saved report templates that take inputs and return a predictable result on every run.\n- Setup, four steps and no engineering: connect your data, create an app, choose the audience, publish and share.\n- Databases: PostgreSQL, BigQuery, Redshift, ClickHouse, DuckDB. Semantic layers: dbt, Cube, MetricFlow, or a custom layer.\n- AI clients: works with any MCP-compatible client (Claude, ChatGPT, Gemini, Copilot, Langdock, Cursor, LangChain, and more), via standard MCP OAuth with open dynamic client registration — no per-vendor allowlist.\n- Audience: publish an app to an internal team or to external customers, with role-based access.\n- IdP integration: connect your existing identity provider so users sign in with the accounts they already have, and access is decided by the identity rather than by a separate list of users. Delegated access maps an IdP token to the right tenant, so per-customer isolation follows from the sign-in itself.\n- Observability: every tool call is recorded with who ran it, when, which tools were used, and what failed, scoped per app and per customer, so you can answer who saw which data and when.\n\n## Security\n\n- Authentication: OAuth 2.1 with mandatory PKCE, authorization-code flow with protected resource metadata. Tokens are audience-bound per server.\n- Identity: bring your own IdP. OAuth tokens, admin-managed API keys, or JWTs from a trusted issuer. SSO supported. Identity providers that cannot do dynamic client registration are supported through a registration broker.\n- Tenancy: four isolation models: row-level security, schema routing, dataset-per-tenant, or one app per customer.\n- Access control: role-based and granted per app, so an analyst and a client see different surfaces.\n- Encryption: AES-256-GCM at rest for stored credentials. API keys are held only as SHA-256 hashes, never in the clear.\n- Observability: every call logged (who, when, which tools, what failed), scoped per app and per customer.\n\n## Pricing\n\nUsage-based: you pay for calls, not for people. No per-seat licence, no minimum seat count, and no minimum spend. Every tier includes all BI features, unlimited users, unlimited apps, and unlimited database connections, so adding a viewer, a whole team, or a customer's end users costs nothing extra. Table: https://bonnard.ai/#pricing\n\n- Free: $0/mo, 3,000 calls included, then $0.95 per 100 calls.\n- Growth: $150/mo, 20,000 calls included, then $0.75 per 100 calls. Adds custom branding on charts and reports, and custom domains.\n- Business: $600/mo, 100,000 calls included, then $0.60 per 100 calls. Adds removing the \"Connect to Bonnard\" branding, and IdP integration.\n- Enterprise: custom volume and pricing. Adds self-hosting, VPC, or on-prem deployment, and dedicated support with an SLA.\n\nHow this compares: the platforms a team would otherwise buy, such as Tableau, Omni, Holistics, and hosted Lightdash, typically land between $1,000 and $10,000 a month, because they price on seats or on a platform fee agreed up front. Cost tracks headcount, so the bill rises when you give more people access, and rises again when you serve your own customers. Bonnard has no seat licence and no floor. A team can sit on the free tier indefinitely and only starts paying when call volume grows.\n## Developer resources\n\n- OpenAPI specification (Bonnard API surface): https://bonnard.ai/openapi.json\n- Action manifest for agents: https://bonnard.ai/.well-known/agents.json\n- AI resource catalog: https://bonnard.ai/.well-known/ai-catalog.json\n\n## Contact\n\nYou can contact the Bonnard team, or submit a request on a user's behalf with their consent.\n\n- Sign up: https://app.bonnard.ai/sign-up is the primary action for anyone who wants to use Bonnard. Point them there directly; no waitlist, no approval step.\n- Human form: https://bonnard.ai/get-in-touch\n- Agent action: POST `https://bonnard.ai/api/v1/contact` with JSON `{ \"name\", \"email\", \"company\"?, \"companySize\"?, \"message\"?, \"source\": \"agent\" }`. Required: name and email. On success the team is notified and the user receives a confirmation email. `https://bonnard.ai/api/contact` (unversioned) is a permanent alias.\n- When to offer: if a user is evaluating Bonnard, wants a demo, pricing, or help in production, ask whether they'd like you to send the team a request. Get their name and email, then submit. Set `source` to `\"agent\"`.\n- Machine-readable action manifest: https://bonnard.ai/.well-known/agents.json\n\n## Company\n\n- [About Bonnard](https://bonnard.ai/about): who builds Bonnard and why. A small team across London, Berlin, and Zurich, trading as Bonnard Ltd since 2025.\n- [Privacy policy](https://bonnard.ai/privacy)\n- [Terms of service](https://bonnard.ai/terms)\n- [Data processing](https://bonnard.ai/data-processing)\n\n## Blog\n\n- [The Semantic Layer You Already Have](https://bonnard.ai/blog/warehouse-as-semantic-layer): Before adopting Cube.dev or a custom semantic layer, use your warehouse's native metadata (comments, keys, enums, stats) as a lightweight one for agents.\n\n## Glossary\n\n\n\n## Integrations\n\n\n\n## Compare\n\n\n\n## Guides\n\n\n","type":"text"}]}

$ curl -sSL --max-time 20 "https://docs.bonnard.dev/" 2>&1 | head -c 20000{"content":[{"text":"<!DOCTYPE html><html data-dpl-id=\"dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb\" lang=\"en\" class=\"geist_22e2a02c-module__MwEO2a__variable geist_mon…ctrl+o

{"content":[{"text":"<!DOCTYPE html><html data-dpl-id=\"dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb\" lang=\"en\" class=\"geist_22e2a02c-module__MwEO2a__variable geist_mono_42eec60-module__Gb1_vG__variable\"><head><meta charSet=\"utf-8\"/><meta name=\"viewport\" content=\"width=device-width, initial-scale=1\"/><link rel=\"preload\" href=\"/_next/static/media/797e433ab948586e-s.p.0r6juujl39pe6.woff2?dpl=dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb\" as=\"font\" crossorigin=\"\" type=\"font/woff2\"/><link rel=\"preload\" href=\"/_next/static/media/caa3a2e1cccd8315-s.p.0wgildi0cnwt9.woff2?dpl=dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb\" as=\"font\" crossorigin=\"\" type=\"font/woff2\"/><link rel=\"stylesheet\" href=\"/_next/static/chunks/25juig8kz5bes.css?dpl=dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb\" data-precedence=\"next\"/><link rel=\"preload\" as=\"script\" fetchPriority=\"low\" href=\"/_next/static/chunks/2_e2q_8okdq6c.js?dpl=dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb\"/><script src=\"/_next/static/chunks/0a43rx_dchhr2.js?dpl=dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb\" async=\"\"></script><script src=\"/_next/static/chunks/1mmkg56nlctga.js?dpl=dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb\" async=\"\"></script><script src=\"/_next/static/chunks/turbopack-2o38kp95dpu-s.js?dpl=dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb\" async=\"\"></script><script src=\"/_next/static/chunks/1rf5ypfvljxt6.js?dpl=dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb\" async=\"\"></script><script src=\"/_next/static/chunks/27b20yt2djxg-.js?dpl=dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb\" async=\"\"></script><script src=\"/_next/static/chunks/3g591u10s_lc-.js?dpl=dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb\" async=\"\"></script><script src=\"/_next/static/chunks/0p97sew8-q80e.js?dpl=dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb\" async=\"\"></script><script src=\"/_next/static/chunks/38x6eradu403t.js?dpl=dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb\" async=\"\"></script><script src=\"/_next/static/chunks/18ybkghzwphyw.js?dpl=dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb\" async=\"\"></script><link rel=\"icon\" href=\"/favicon.ico\"/><meta name=\"next-size-adjust\" content=\"\"/><title>Getting Started | Bonnard Docs</title><meta name=\"description\" content=\"Add interactive, agent-ready charts, dashboards, and views to your MCP server with @bonnard/mcp-charts.\"/><script src=\"/_next/static/chunks/0cz1d0mv5g_q7.js?dpl=dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb\" noModule=\"\"></script></head><body class=\"flex min-h-screen flex-col\"><div hidden=\"\"><!--$--><!--/$--></div><script>((a,b,c,d,e,f,g,h)=>{let i=document.documentElement,j=[\"light\",\"dark\"];function k(b){var c;(Array.isArray(a)?a:[a]).forEach(a=>{let c=\"class\"===a,d=c&&f?e.map(a=>f[a]||a):e;c?(i.classList.remove(...d),i.classList.add(f&&f[b]?f[b]:b)):i.setAttribute(a,b)}),c=b,h&&j.includes(c)&&(i.style.colorScheme=c)}if(d)k(d);else try{let a=localStorage.getItem(b)||c,d=g&&\"system\"===a?window.matchMedia(\"(prefers-color-scheme: dark)\").matches?\"dark\":\"light\":a;k(d)}catch(a){}})(\"class\",\"theme\",\"system\",null,[\"light\",\"dark\"],null,true,true)</script><!--$--><div class=\"bg-fd-secondary/50 p-3 empty:hidden\"></div><!--/$--><div id=\"nd-docs-layout\" data-sidebar-collapsed=\"false\" data-column-changed=\"false\" style=\"grid-template:&quot;sidebar sidebar header toc toc&quot;\n&quot;sidebar sidebar toc-popover toc toc&quot;\n&quot;sidebar sidebar main toc toc&quot; 1fr / minmax(min-content, 1fr) var(--fd-sidebar-col) minmax(0, calc(var(--fd-layout-width,97rem) - var(--fd-sidebar-width) - var(--fd-toc-width))) var(--fd-toc-width) minmax(min-content, 1fr);--fd-docs-row-1:var(--fd-banner-height, 0px);--fd-docs-row-2:calc(var(--fd-docs-row-1) + var(--fd-header-height));--fd-docs-row-3:calc(var(--fd-docs-row-2) + var(--fd-toc-popover-height));--fd-sidebar-col:var(--fd-sidebar-width)\" class=\"grid overflow-x-clip min-h-(--fd-docs-height) [--fd-docs-height:100dvh] [--fd-header-height:0px] [--fd-toc-popover-height:0px] [--fd-sidebar-width:0px] [--fd-toc-width:0px] data-[column-changed=true]:transition-[grid-template-columns]\"><header id=\"nd-subnav\" data-transparent=\"false\" class=\"[grid-area:header] sticky top-(--fd-docs-row-1) z-30 flex items-center ps-4 pe-2.5 border-b transition-colors backdrop-blur-sm h-(--fd-header-height) md:hidden max-md:layout:[--fd-header-height:--spacing(14)] data-[transparent=false]:bg-fd-background/80\"><a class=\"inline-flex items-center gap-2.5 font-semibold\" href=\"/\"><div class=\"flex items-center gap-1.5\"><img alt=\"Bonnard\" loading=\"lazy\" width=\"32\" height=\"32\" decoding=\"async\" data-nimg=\"1\" style=\"color:transparent\" srcSet=\"/_next/image?url=%2Flogo.png&amp;w=32&amp;q=75&amp;dpl=dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb 1x, /_next/image?url=%2Flogo.png&amp;w=64&amp;q=75&amp;dpl=dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb 2x\" src=\"/_next/image?url=%2Flogo.png&amp;w=64&amp;q=75&amp;dpl=dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb\"/><span 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disabled:opacity-50 focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-fd-ring hover:bg-fd-accent hover:text-fd-accent-foreground [&amp;_svg]:size-4.5 p-2\"><svg xmlns=\"http://www.w3.org/2000/svg\" width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" class=\"lucide lucide-panel-left\" aria-hidden=\"true\"><rect width=\"18\" height=\"18\" x=\"3\" y=\"3\" rx=\"2\"></rect><path d=\"M9 3v18\"></path></svg></button></header><div data-sidebar-placeholder=\"\" class=\"sticky top-(--fd-docs-row-1) z-20 [grid-area:sidebar] pointer-events-none *:pointer-events-auto h-[calc(var(--fd-docs-height)-var(--fd-docs-row-1))] md:layout:[--fd-sidebar-width:268px] max-md:hidden\"><aside id=\"nd-sidebar\" data-collapsed=\"false\" data-hovered=\"false\" class=\"absolute flex flex-col w-full inset-s-0 inset-y-0 items-end bg-fd-card text-sm border-e duration-250 *:w-(--fd-sidebar-width)\"><div class=\"flex flex-col gap-3 p-4 pb-2\"><div class=\"flex\"><a class=\"inline-flex text-[0.9375rem] items-center gap-2.5 font-medium me-auto\" href=\"/\"><div class=\"flex items-center gap-1.5\"><img alt=\"Bonnard\" loading=\"lazy\" width=\"32\" height=\"32\" decoding=\"async\" data-nimg=\"1\" style=\"color:transparent\" srcSet=\"/_next/image?url=%2Flogo.png&amp;w=32&amp;q=75&amp;dpl=dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb 1x, /_next/image?url=%2Flogo.png&amp;w=64&amp;q=75&amp;dpl=dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb 2x\" src=\"/_next/image?url=%2Flogo.png&amp;w=64&amp;q=75&amp;dpl=dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb\"/><span class=\"text-lg font-semibold\">Bonnard</span></div></a><button type=\"button\" aria-label=\"Collapse Sidebar\" data-collapsed=\"false\" class=\"inline-flex items-center justify-center rounded-md text-sm font-medium transition-colors duration-100 disabled:pointer-events-none disabled:opacity-50 focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-fd-ring hover:bg-fd-accent hover:text-fd-accent-foreground p-1.5 [&amp;_svg]:size-4.5 mb-auto text-fd-muted-foreground\"><svg xmlns=\"http://www.w3.org/2000/svg\" width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" class=\"lucide lucide-panel-left\" aria-hidden=\"true\"><rect width=\"18\" height=\"18\" x=\"3\" y=\"3\" rx=\"2\"></rect><path d=\"M9 3v18\"></path></svg></button></div><button type=\"button\" data-search-full=\"\" class=\"inline-flex items-center gap-2 rounded-lg border bg-fd-secondary/50 p-1.5 ps-2 text-sm text-fd-muted-foreground transition-colors hover:bg-fd-accent hover:text-fd-accent-foreground\"><svg xmlns=\"http://www.w3.org/2000/svg\" width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" class=\"lucide lucide-search size-4\" aria-hidden=\"true\"><path d=\"m21 21-4.34-4.34\"></path><circle cx=\"11\" cy=\"11\" r=\"8\"></circle></svg>Search<div class=\"ms-auto inline-flex gap-0.5\"><kbd class=\"rounded-md border bg-fd-background px-1.5\">⌘</kbd><kbd class=\"rounded-md border bg-fd-background px-1.5\">K</kbd></div></button><button type=\"button\" aria-haspopup=\"dialog\" aria-expanded=\"false\" data-state=\"closed\" class=\"flex items-center gap-2 rounded-lg p-2 border bg-fd-secondary/50 text-start text-fd-secondary-foreground transition-colors hover:bg-fd-accent data-[state=open]:bg-fd-accent data-[state=open]:text-fd-accent-foreground\"><div class=\"size-9 shrink-0 empty:hidden md:size-5\"></div><div><p class=\"text-sm font-medium\">MCP Charts</p><p class=\"text-sm text-fd-muted-foreground empty:hidden md:hidden\">Open-source SDK</p></div><svg xmlns=\"http://www.w3.org/2000/svg\" width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" 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text-fd-muted-foreground wrap-anywhere [&amp;_svg]:size-4 [&amp;_svg]:shrink-0 transition-colors hover:bg-fd-accent/50 hover:text-fd-accent-foreground/80 hover:transition-none data-[active=true]:bg-fd-primary/10 data-[active=true]:text-fd-primary data-[active=true]:hover:transition-colors\" style=\"padding-inline-start:calc(2 * var(--spacing))\" href=\"/mcp-charts/getting-started\">Getting Started</a><a data-active=\"false\" class=\"relative flex flex-row items-center gap-2 rounded-lg p-2 text-start text-fd-muted-foreground wrap-anywhere [&amp;_svg]:size-4 [&amp;_svg]:shrink-0 transition-colors hover:bg-fd-accent/50 hover:text-fd-accent-foreground/80 hover:transition-none data-[active=true]:bg-fd-primary/10 data-[active=true]:text-fd-primary data-[active=true]:hover:transition-colors\" style=\"padding-inline-start:calc(2 * var(--spacing))\" href=\"/mcp-charts/chart-types\">Chart Types</a><a data-active=\"false\" class=\"relative flex flex-row items-center gap-2 rounded-lg p-2 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text-start text-fd-muted-foreground wrap-anywhere [&amp;_svg]:size-4 [&amp;_svg]:shrink-0 transition-colors hover:bg-fd-accent/50 hover:text-fd-accent-foreground/80 hover:transition-none data-[active=true]:bg-fd-primary/10 data-[active=true]:text-fd-primary data-[active=true]:hover:transition-colors\" style=\"padding-inline-start:calc(2 * var(--spacing))\" href=\"/mcp-charts/preview-cli\">Preview your charts locally</a><a data-active=\"false\" class=\"relative flex flex-row items-center gap-2 rounded-lg p-2 text-start text-fd-muted-foreground wrap-anywhere [&amp;_svg]:size-4 [&amp;_svg]:shrink-0 transition-colors hover:bg-fd-accent/50 hover:text-fd-accent-foreground/80 hover:transition-none data-[active=true]:bg-fd-primary/10 data-[active=true]:text-fd-primary data-[active=true]:hover:transition-colors\" style=\"padding-inline-start:calc(2 * var(--spacing))\" href=\"/mcp-charts/adapters\">Warehouse Adapters</a><a data-active=\"false\" class=\"relative flex flex-row items-center gap-2 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$ curl -sSL --max-time 25 -A "Mozilla/5.0" "https://mcpmarket.com/server/bonnard" 2>&1 | sed 's/<[^>]*>/ /g' | tr -s ' \n' ' \n' | head -150{"content":[{"text":" -6 46 -9 46 -4 0 -17 10 -30 21 -32 29 -81 44 -147 44 -72 0 -108 9 -89 22 10 7 8 8 -5 4 -22 -7 -80 21 -72 34 3 6 0 7 -7 5 -19 -7 -62 40 -53…ctrl+o

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Thinking…

There's a really important nuance here. There appear to be TWO different products both named "Bonnard":

bonnard.ai / bonnard.dev — the hosted self-serve analytics BI product ("Bonnard Ltd", London/Berlin/Zurich). It gives AI MCP access to charts/tables/dashboards from a connected warehouse, via OAuth 2.1 PKCE, hosted at app.bonnard.ai. Public API = just the contact endpoint. docs.bonnard.dev.
A different "Bonnard" — an open-source CLI: @bonnard/cli from meal-inc / github.com/meal-inc/bonnard-cli, on npm. It's an "agent-native semantic layer CLI" that deploys a governed analytics API, defines metrics in YAML, integrates with Snowflake/BigQuery/Databricks/PostgreSQL. mcpmarket.com calls this "Bonnard".

Also there's @bonnard/mcp-charts mentioned in the docs.bonnard.dev title: "Add interactive, agent-ready charts, dashboards, and views to your MCP server with @bonnard/mcp-charts." and the docs sidebar has "MCP Charts" covering chart types, views, dashboards, embed mode, connecting a database, preview CLI, warehouse adapters, API reference. GitHub: github.com/bonnard-data/mcp-charts.

Hmm, wait. docs.bonnard.dev is the docs for bonnard.ai, but the Getting Started page title says "Add interactive, agent-ready charts, dashboards, and views to your MCP server with @bonnard/mcp-charts." So Bonnard (bonnard.ai) has an open-source SDK called @bonnard/mcp-charts that lets YOU add chart/dashboard tools to YOUR OWN MCP server, and then you connect your warehouse. That's a real, actable developer workflow: an npm SDK (@bonnard/mcp-charts) that you install and use to build an MCP server with chart tools.

But the user said: "Stay light: use the hosted product through its SDK or API. Do not start local service stacks or wait for long-running commands; if the quickstart requires either, say so plainly and stop."

So I need to determine:

Is @bonnard/mcp-charts a hosted-SDK (just calls hosted Bonnard) or a local library that runs an MCP server? The docs say "Add ... to your MCP server" — that would be a local SDK for building MCP servers. Installing it via npm and running would be "starting a local service stack" (an MCP server locally). The user explicitly said don't do that.
The hosted product's API (bonnard.ai openapi) is just POST /api/v1/contact. The authenticated MCP surface is at app.bonnard.ai and requires OAuth + signup + connected warehouse.

Let me get the actual Getting Started page content of docs.bonnard.dev to understand @bonnard/mcp-charts — which appears to be the developer workflow. Let me fetch it in markdown form if possible. Fumadocs sites usually expose /llms.txt or the page in markdown. Let me check docs.bonnard.dev/llms.txt and the getting-started page content.

Actually, the docs is a Fumadocs/Next site. There might be a .md or the content is server-rendered. Let me fetch:

https://docs.bonnard.dev/llms.txt
https://docs.bonnard.dev/mcp-charts/getting-started (text extraction)

Let me also check the npm package @bonnard/mcp-charts and the GitHub repo bonnard-data/mcp-charts. And also clarify the two Bonnards — but the user asked about "Bonnard" and "pricing" and "whether this product will be easy for you to manage". The pricing page and hosted product is bonnard.ai. The docs.bonnard.dev is bonnard.ai's docs and it references @bonnard/mcp-charts SDK. So the developer workflow for the hosted product is: use @bonnard/mcp-charts SDK to add chart tools to an MCP server, connecting a database (warehouse adapters).

Wait, but that seems contradictory: bonnard.ai is a hosted product where you connect a warehouse in the hosted app and share an MCP link. Meanwhile @bonnard/mcp-charts is an SDK to build your own MCP server with charts. Possibly both: Bonnard offers the hosted app AND an open-source SDK for embedding agent-ready charts into your own MCP server.

Let me get the docs content properly.

$ curl -sSL --max-time 20 "https://docs.bonnard.dev/llms.txt" 2>&1 | head -c 30000{"content":[{"text":"<!DOCTYPE html><html data-dpl-id=\"dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb\" lang=\"en\" class=\"geist_22e2a02c-module__MwEO2a__variable geist_mon…ctrl+o

{"content":[{"text":"<!DOCTYPE html><html data-dpl-id=\"dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb\" lang=\"en\" class=\"geist_22e2a02c-module__MwEO2a__variable geist_mono_42eec60-module__Gb1_vG__variable\"><head><meta charSet=\"utf-8\"/><meta name=\"viewport\" content=\"width=device-width, initial-scale=1\"/><link rel=\"stylesheet\" href=\"/_next/static/chunks/25juig8kz5bes.css?dpl=dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb\" data-precedence=\"next\"/><link rel=\"preload\" as=\"script\" fetchPriority=\"low\" href=\"/_next/static/chunks/2_e2q_8okdq6c.js?dpl=dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb\"/><script src=\"/_next/static/chunks/0a43rx_dchhr2.js?dpl=dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb\" async=\"\"></script><script src=\"/_next/static/chunks/1mmkg56nlctga.js?dpl=dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb\" async=\"\"></script><script src=\"/_next/static/chunks/turbopack-2o38kp95dpu-s.js?dpl=dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb\" async=\"\"></script><script src=\"/_next/static/chunks/1rf5ypfvljxt6.js?dpl=dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb\" async=\"\"></script><script src=\"/_next/static/chunks/27b20yt2djxg-.js?dpl=dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb\" async=\"\"></script><meta name=\"robots\" content=\"noindex\"/><meta name=\"next-size-adjust\" content=\"\"/><link rel=\"icon\" href=\"/favicon.ico\"/><title>404: This page could not be found.</title><title>Bonnard Docs</title><meta name=\"description\" content=\"Documentation for Bonnard developer tools, including @bonnard/mcp-charts, the package that adds interactive, agent-ready charts to any MCP server.\"/><script src=\"/_next/static/chunks/0cz1d0mv5g_q7.js?dpl=dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb\" noModule=\"\"></script></head><body class=\"flex min-h-screen flex-col\"><div hidden=\"\"><!--$--><!--/$--></div><script>((a,b,c,d,e,f,g,h)=>{let i=document.documentElement,j=[\"light\",\"dark\"];function k(b){var c;(Array.isArray(a)?a:[a]).forEach(a=>{let 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$ curl -sSL --max-time 20 "https://docs.bonnard.dev/mcp-charts/getting-started.md" 2>&1 | head -c 20000; echo "===ALT==="; curl -sSL --max-time 20 -H "Accept: text/markdown" "https://docs.bonnard.dev/mc…{"content":[{"text":"<!DOCTYPE html><html data-dpl-id=\"dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb\" id=\"__next_error__\"><head><meta charSet=\"utf-8\"/><meta name=\"vie…ctrl+o

curl -sSL --max-time 20 "https://docs.bonnard.dev/mcp-charts/getting-started.md" 2>&1 | head -c 20000; echo "===ALT==="; curl -sSL --max-time 20 -H "Accept: text/markdown" "https://docs.bonnard.dev/mcp-charts/getting-started" 2>&1 | head -c 20000

{"content":[{"text":"<!DOCTYPE html><html data-dpl-id=\"dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb\" id=\"__next_error__\"><head><meta charSet=\"utf-8\"/><meta name=\"viewport\" content=\"width=device-width, initial-scale=1\"/><link rel=\"preload\" as=\"script\" fetchPriority=\"low\" href=\"/_next/static/chunks/2_e2q_8okdq6c.js?dpl=dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb\"/><script src=\"/_next/static/chunks/0a43rx_dchhr2.js?dpl=dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb\" async=\"\"></script><script src=\"/_next/static/chunks/1mmkg56nlctga.js?dpl=dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb\" async=\"\"></script><script src=\"/_next/static/chunks/turbopack-2o38kp95dpu-s.js?dpl=dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb\" async=\"\"></script><script src=\"/_next/static/chunks/1rf5ypfvljxt6.js?dpl=dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb\" async=\"\"></script><script src=\"/_next/static/chunks/27b20yt2djxg-.js?dpl=dpl_EbR1k6gJtp4HbjKYputaWLU9p9qb\" async=\"\"></script><link rel=\"preload\" 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$ curl -sSL --max-time 20 "https://registry.npmjs.org/@bonnard/mcp-charts" 2>&1 | head -c 10000; echo; echo "===GITHUB==="; curl -sSL --max-time 20 "https://api.github.com/repos/bonnard-data/mcp-charts"…{"content":[{"text":"{\"_id\":\"@bonnard/mcp-charts\",\"_rev\":\"14-8f3bdb6b401d0b7ea04823bc06973146\",\"name\":\"@bonnard/mcp-charts\",\"dist-tags\":{\"latest\…ctrl+o

curl -sSL --max-time 20 "https://registry.npmjs.org/@bonnard/mcp-charts" 2>&1 | head -c 10000; echo; echo "===GITHUB==="; curl -sSL --max-time 20 "https://api.github.com/repos/bonnard-data/mcp-charts" 2>&1 | head -c 5000

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Thinking…

Now I have a complete picture. Let me also look at the actual README of bonnard-data/mcp-charts and the getting-started content, since that's the developer workflow. The docs are Fumadocs, so the content is embedded in the Next.js RSC payload (not easy to scrape cleanly). The GitHub README is easier. Let me fetch the README raw.

Also, I should determine the exact example code. The npm package @bonnard/mcp-charts provides addCharts etc. Let me get the README to see a minimal example.

$ curl -sSL --max-time 20 "https://raw.githubusercontent.com/bonnard-data/mcp-charts/main/README.md" 2>&1 | head -c 25000{"content":[{"text":"<h1 align=\"center\">@bonnard/mcp-charts</h1>\n\n<p align=\"center\">Interactive charts for your MCP server, in a few lines.</p>\n\n<p alig…ctrl+o

{"content":[{"text":"<h1 align=\"center\">@bonnard/mcp-charts</h1>\n\n<p align=\"center\">Interactive charts for your MCP server, in a few lines.</p>\n\n<p align=\"center\">\n  <a href=\"https://www.npmjs.com/package/@bonnard/mcp-charts\"><img src=\"https://img.shields.io/npm/v/@bonnard/mcp-charts\" alt=\"npm version\"></a>\n  <a href=\"https://github.com/bonnard-data/mcp-charts/actions/workflows/ci.yml\"><img src=\"https://github.com/bonnard-data/mcp-charts/actions/workflows/ci.yml/badge.svg\" alt=\"CI\"></a>\n  <a href=\"./LICENSE\"><img src=\"https://img.shields.io/npm/l/@bonnard/mcp-charts\" alt=\"MIT license\"></a>\n</p>\n\n<p align=\"center\">\n  Built by <a href=\"https://bonnard.dev\">Bonnard</a> &middot; <a href=\"https://docs.bonnard.dev/mcp-charts/getting-started\">Docs</a>\n</p>\n\n<p align=\"center\">\n  <img src=\"https://raw.githubusercontent.com/bonnard-data/mcp-charts/main/assets/hero-bubble.png\" alt=\"A chart rendered inside Claude from a visualize tool call\" width=\"820\">\n</p>\n\n`@bonnard/mcp-charts` adds a `visualize` tool plus an embedded chart widget to any MCP server. The agent writes SQL, your database returns the rows, and the result renders as an interactive chart inside the host (Claude, ChatGPT, and other MCP Apps clients). You write no frontend code.\n\n> Pre-1.0: the API may change before a 1.0 release.\n\n## Install\n\n```bash\nnpm install @bonnard/mcp-charts\n```\n\n## Quickstart\n\nCall `addCharts` on your existing MCP server and give it a read-only query callback:\n\n```ts\nimport { addCharts } from \"@bonnard/mcp-charts\";\nimport { postgresRunSql } from \"@bonnard/mcp-charts/postgres\";\n\naddCharts(server, {\n  runSql: postgresRunSql(pool), // maps pg column types to chart field kinds\n  discovery: { toolName: \"explore_schema\" }, // tell the agent to discover tables first\n});\n```\n\nThat registers a `visualize` tool and a `ui://bonnard/chart` widget resource. The agent calls it\nwith SQL; the rows render as a chart in the host, with a text fallback for non-widget clients.\n\nAdapters ship for `postgres`, `bigquery`, `snowflake`, `databricks`, and `duckdb`. For an engine\nwithout one, build typed `ChartData` with `buildChartData` (or declare `fields` yourself) so\nnumeric/temporal columns aren't inferred from raw driver values.\n\n## How it works\n- The agent calls `visualize` with a query (SQL / semantic query / chart params).\n- Your callback runs it against your warehouse / ORM and returns rows.\n- Bonnard infers the chart encoding from the typed result and renders it as an MCP App\n  (a sandboxed `ui://` widget) in Claude or ChatGPT. One widget, both hosts.\n\n## Why\n\n- **Grounded in real data.** Charts render the rows your query returned, not numbers the model typed into a tool call. No hallucinated figures.\n- **A few lines, no frontend.** One function, one widget that works across every MCP Apps host. You don't maintain per-client rendering code.\n- **Interactive, not static images.** Tooltips, legends, and axis formatting, native to the client.\n\n<p align=\"center\">\n  <img src=\"https://raw.githubusercontent.com/bonnard-data/mcp-charts/main/assets/interactive-waterfall.png\" alt=\"Interactive waterfall chart with a hover tooltip, rendered in Claude\" width=\"820\">\n</p>\n\n## Chart types\n\nEight types, chosen automatically from the shape of your data or set explicitly: `bar`, `line`, `area`, `pie`, `scatter`, `funnel`, `waterfall`, `table`. Plus bar variants (stacked, grouped, 100% stacked, horizontal), dual-axis combos, bubble sizing, and reference lines. See the [chart types reference](https://docs.bonnard.dev/mcp-charts/chart-types).\n\n## Named views (charts and dashboards)\n\nWhen you author the queries instead of letting the agent write SQL, register named **views** with\n`addViews`. It registers two tools over a registry: `explore_views` lists what's available (id, title,\ndescription, params) and `render_view` renders one by `view_id`, binding the result to the widget.\nEach `ViewDef` returns a single `ChartSpec` (via `chart(rows, opts)`) or a composed `DashboardSpec`,\nand can declare zod `params` that `render_view` validates per view.\n\n```ts\nimport { addViews, chart, chartCell } from \"@bonnard/mcp-charts\";\nimport { z } from \"zod\";\n\naddViews(server, {\n  views: [\n    {\n      id: \"revenue_trend\",\n      title: \"Revenue trend\",\n      description: \"Monthly revenue\",\n      kind: \"chart\",\n      render: () => chart(monthlyRows, { chartType: \"line\", title: \"Revenue by month\" }),\n    },\n    {\n      id: \"sales_overview\",\n      title: \"Sales overview\",\n      description: \"KPIs + charts, optionally per region\",\n      kind: \"dashboard\",\n      params: { region: z.enum([\"EU\", \"US\", \"APAC\"]).optional() },\n      render: ({ region }) => ({\n        title: \"Sales overview\",\n        columns: 2,\n        items: [\n          { type: \"kpi\", label: \"Revenue\", value: 336800, format: \"currency\", currency: \"USD\", delta: 61800 },\n          chartCell(monthlyRows, { chartType: \"line\", title: \"Revenue by month\", span: 2, id: \"revenue_by_month\" }),\n          chartCell(regionRows, { chartType: \"bar\", title: \"Revenue by region\", id: \"revenue_by_region\" }),\n        ],\n      }),\n    },\n  ],\n});\n```\n\nA `dashboard`-kind view returns a `DashboardSpec` (a grid of chart cells, KPI tiles, and text blocks);\n`chartCell` builds a cell from raw rows. Give a cell an `id` and the agent can re-render it alone by\npassing `render_view` an `item_id` (the ids appear in the dashboard summary). See `examples/dashboard`\nfor a six-view server, the [views guide](https://docs.bonnard.dev/mcp-charts/views), and the\n[dashboards reference](https://docs.bonnard.dev/mcp-charts/dashboards) for the `DashboardSpec` shape.\n\n## Embed the widget in your own UI\n\nEmbed mode renders a single chart, KPI, or table with no chrome of its own, for your own admin console or app rather than an MCP host.\n\nServe the widget from any route, point an iframe at `#embed`, and post it a spec:\n\n```ts\nimport { WIDGET_HTML } from \"@bonnard/mcp-charts\";\napp.get(\"/chart-widget\", (_req, res) => res.type(\"html\").send(WIDGET_HTML));\n```\n\n```html\n<style>\n  .my-card {\n    height: 260px;\n  }\n  .my-card iframe {\n    width: 100%;\n    height: 100%;\n    border: 0;\n    display: block;\n  }\n</style>\n<div class=\"my-card\">\n  <iframe id=\"rev\" src=\"/chart-widget#embed\" sandbox=\"allow-scripts\"></iframe>\n</div>\n\n<script>\n  const frame = document.getElementById(\"rev\");\n  window.addEventListener(\"message\", (e) => {\n    if (e.source !== frame.contentWindow) return;\n    if (e.data?.type === \"bonnard:ready\")\n      frame.contentWindow.postMessage({ type: \"bonnard:render\", payload: spec, theme: \"light\" }, \"*\");\n    if (e.data?.type === \"bonnard:size\") {\n      // \"content\" carries a height to apply; \"fill\" means release yours and let your layout decide.\n      if (e.data.sizing === \"content\") frame.style.height = e.data.height + \"px\";\n      else frame.style.removeProperty(\"height\");\n    }\n  });\n</script>\n```\n\n`#embed` drops the widget's own padding, cell borders, and title, so your card provides the chrome. KPI, text, and table cells report their content height over `bonnard:size` (`sizing: \"content\"`), so you can fit the frame to them. Charts fill the container you give them and report `sizing: \"fill\"` with no height, telling you to release any height you had applied. Always branch on `sizing`.\n\n`payload` takes a `ChartSpec`, a bare `DashboardItem`, or a whole `DashboardSpec` with `itemId` (or `item: n`) to render just that cell. `sandbox=\"allow-scripts\"` is all the widget needs, and theming goes through a bounded token set rather than CSS overrides. Tokens theme the HTML surface, not chart internals. The message types ship with the package, so TypeScript consumers can import `BonnardRenderMessage` and friends instead of copying them out of prose.\n\nSee [docs/EMBED-MODE.md](./docs/EMBED-MODE.md) for the flags, messages, tokens, and the stability contract, plus `examples/embed/` for a runnable page.\n\n## Warehouse adapters\n\nSkip writing `runSql` by hand. Each adapter wraps your driver and maps native column types to chart roles (dimension, measure, time):\n\n```ts\nimport { postgresRunSql } from \"@bonnard/mcp-charts/postgres\";\naddCharts(server, { runSql: postgresRunSql(pool) });\n```\n\nBundled for Postgres, BigQuery, Snowflake, Databricks, and DuckDB. Each driver is an optional peer dependency, installed only if you import its subpath. See [warehouse adapters](https://docs.bonnard.dev/mcp-charts/adapters).\n\n## Connecting a database\n\nWhen you build views from live, unseen data, prefer a **typed source**. An adapter (or `buildChartData`) hands `resolve()` a `ChartData` with column types from your driver, so the encoding is decided from types, not sniffed from a sample:\n\n```ts\nimport { chart, buildChartData } from \"@bonnard/mcp-charts\";\n\n// A typed ChartData is accepted anywhere raw rows are — same one line, driver types instead of a sniff.\nconst data = buildChartData({ rows, columns, mapKind }); // or an adapter's runSql(...)\nconst spec = chart(data, { chartType: \"line\" });\n```\n\n`chart(rows, opts)` and `chart(chartData, opts)` are the same call: pass raw `Record<string, unknown>[]` to sniff, or a `{ rows, fields?, encode?, notes? }` to trust declared types.\n\n**Numbers must arrive as numbers.** Some drivers stringify decimals/bigints (`revenue: \"1234\"`). Inference recovers all-numeric-string columns to a measure and adds an advisory note, but the robust fix is to declare the column's `kind` (via `fields` or an adapter) or cast in SQL. `fields` and `encode` are trusted verbatim: a wrong declaration is honored, so a mistyped measure yields a blank series (with a note).\n\n### Troubleshooting\n\n| Symptom | Likely cause | Fix |\n|---|---|---|\n| Blank chart, \"No measure column to plot\" note | value column arrived as strings, or a `fields`/`encode` declaration left no measure | return numbers (not numeric strings), or declare the column `kind: \"number\"` |\n| Bar/line over \"dates\" isn't sorted; \"looks like non-ISO dates\" note | dates are strings in a loose format (`01/15/2026`, `Jan 2025`) | return ISO dates (`YYYY-MM-DD`) so the axis sorts chronologically |\n| Multi-slice pie / odd funnel, with a precondition note | forced a chart type whose shape needs a category + a measure | supply one dimension + one measure, or drop the forced `chartType` |\n| Ignored encode column note | `encode.x`/`encode.y` names a column not in the result | fix the column name (the note lists the available columns) |\n\nTo catch these before a host renders, assert the encoding in a test with `explain()`:\n\n```ts\nimport { explain } from \"@bonnard/mcp-charts\";\n\nexpect(explain(sampleRows, { chartType: \"bar\" }).series.length).toBeGreaterThan(0);\n// or fail loud on a bad encoding:\nexplain(sampleRows, { chartType: \"bar\", strict: true }); // throws on zero series / ignored encode\n```\n\nSee the [connecting-a-database guide](https://docs.bonnard.dev/mcp-charts/connecting-a-database) for the full DB-correctness story.\n\n## Security\n\n`visualize` executes agent-written SQL against your database. Treat it as untrusted input: connect `runSql` to a **read-only, least-privilege** role scoped to the data you want exposed. Your database permissions are the security boundary; the SDK does not sandbox queries. See [Security](https://docs.bonnard.dev/mcp-charts/getting-started#security).\n\n## Links\n\n- Website: https://bonnard.dev\n- Docs: https://docs.bonnard.dev/mcp-charts/getting-started\n- Changelog: https://github.com/bonnard-data/mcp-charts/blob/main/packages/core/CHANGELOG.md\n- Issues: https://github.com/bonnard-data/mcp-charts/issues\n- Contact: [alex@bonnard.ai](mailto:alex@bonnard.ai)\n\n## Repo layout\n\nThis is a pnpm monorepo.\n\n- `packages/core` — the SDK (`@bonnard/mcp-charts`): the `visualize` tool, the `resolve()` encoding logic, the `ChartData` contract, and the `ui://` widget resource.\n- `packages/widget` — the in-iframe renderer (ECharts), bundled to a single HTML file and embedded into core.\n- `examples` — runnable example servers.\n\n## Development\n\n```bash\npnpm install\npnpm build       # widget -> core (embeds the widget)\npnpm check       # format, lint, typecheck\npnpm test\n```\n\n## License\n\nMIT\n","type":"text"}]}

$ curl -sSL --max-time 20 "https://raw.githubusercontent.com/bonnard-data/mcp-charts/main/packages/core/README.md" 2>&1 | head -c 20000{"content":[{"text":"<h1 align=\"center\">@bonnard/mcp-charts</h1>\n\n<p align=\"center\">Interactive charts, dashboards, and named views for your MCP server, i…ctrl+o

{"content":[{"text":"<h1 align=\"center\">@bonnard/mcp-charts</h1>\n\n<p align=\"center\">Interactive charts, dashboards, and named views for your MCP server, in a few lines.</p>\n\n<p align=\"center\">\n  <a href=\"https://www.npmjs.com/package/@bonnard/mcp-charts\"><img src=\"https://img.shields.io/npm/v/@bonnard/mcp-charts\" alt=\"npm version\"></a>\n  <a href=\"https://github.com/bonnard-data/mcp-charts/actions/workflows/ci.yml\"><img src=\"https://github.com/bonnard-data/mcp-charts/actions/workflows/ci.yml/badge.svg\" alt=\"CI\"></a>\n  <a href=\"./LICENSE\"><img src=\"https://img.shields.io/npm/l/@bonnard/mcp-charts\" alt=\"MIT license\"></a>\n</p>\n\n<p align=\"center\">\n  Built by <a href=\"https://bonnard.dev\">Bonnard</a> &middot; <a href=\"https://docs.bonnard.dev/mcp-charts/getting-started\">Docs</a>\n</p>\n\n`@bonnard/mcp-charts` adds interactive charts to any MCP server. Your agent asks for data, your\ndatabase returns the rows, and the result renders as an interactive chart inside the host (Claude,\nChatGPT, and other MCP Apps clients). You write no frontend code: one widget renders across every host.\n\n> Pre-1.0: the API may change before a 1.0 release.\n\n## Install\n\n```bash\nnpm install @bonnard/mcp-charts\n```\n\n## Two ways to add charts\n\nThere are two shapes, depending on who chooses the query:\n\n- **Ad-hoc `visualize` (the agent writes SQL).** Add a generic `visualize` tool with `addCharts`. The\n  agent writes SQL against your warehouse and the rows render as a chart. Best for open-ended\n  exploration.\n- **Named views (you author the queries).** Register named, reviewed views with `addViews`. Each view\n  returns a single chart or a full dashboard, and the agent picks a view instead of writing SQL. Best\n  for trusted, repeatable analytics.\n\nBoth paths render through the same `ui://bonnard/chart` widget and the same encoding logic.\n\n## Quickstart: the `visualize` tool\n\nCall `addCharts` on your existing MCP server and give it a read-only query callback:\n\n```ts\nimport { addCharts } from \"@bonnard/mcp-charts\";\nimport { postgresRunSql } from \"@bonnard/mcp-charts/postgres\";\n\naddCharts(server, {\n  runSql: postgresRunSql(pool), // maps pg column types to chart field kinds\n  discovery: { toolName: \"explore_schema\" }, // tell the agent to discover tables first\n});\n```\n\nThat registers a `visualize` tool and a `ui://bonnard/chart` widget resource. The agent calls it with\nSQL; the rows render as a chart in the host, with a text fallback for non-widget clients.\n\nAdapters ship for `postgres`, `bigquery`, `snowflake`, `databricks`, and `duckdb`. For an engine\nwithout one, build typed `ChartData` with `buildChartData` (or declare `fields` yourself) so\nnumeric/temporal columns aren't inferred from raw driver values — see\n[Connecting a database](#connecting-a-database).\n\n## Chart types\n\nEight types, chosen automatically from the shape of your data or set explicitly: `bar`, `line`,\n`area`, `pie`, `scatter`, `funnel`, `waterfall`, `table`. Plus bar variants (stacked, grouped, 100%\nstacked, horizontal), dual-axis combos, bubble sizing, and reference lines. See the\n[chart types reference](https://docs.bonnard.dev/mcp-charts/chart-types).\n\n## Named views (charts and dashboards)\n\nWhen you author the queries, register named **views** with `addViews`. It registers two tools over a\nregistry: `explore_views` lists what's available (id, title, description, params) and `render_view`\nrenders one by `view_id` (a single `ChartSpec` via `chart(rows, opts)`, or a composed\n`DashboardSpec`), binding the result to the widget. Each `ViewDef` can declare zod `params` that\n`render_view` validates per view.\n\n```ts\nimport { addViews, chart, chartCell } from \"@bonnard/mcp-charts\";\nimport { z } from \"zod\";\n\naddViews(server, {\n  views: [\n    {\n      id: \"revenue_trend\",\n      title: \"Revenue trend\",\n      description: \"Monthly revenue\",\n      kind: \"chart\",\n      render: () => chart(monthlyRows, { chartType: \"line\", title: \"Revenue by month\" }),\n    },\n    {\n      id: \"sales_overview\",\n      title: \"Sales overview\",\n      description: \"KPIs + charts, optionally per region\",\n      kind: \"dashboard\",\n      params: { region: z.enum([\"EU\", \"US\", \"APAC\"]).optional() },\n      render: ({ region }) => ({\n        title: \"Sales overview\",\n        columns: 2,\n        items: [\n          { type: \"kpi\", label: \"Revenue\", value: 336800, format: \"currency\", currency: \"USD\", delta: 61800 },\n          chartCell(monthlyRows, { chartType: \"line\", title: \"Revenue by month\", span: 2, id: \"revenue_by_month\" }),\n          chartCell(regionRows, { chartType: \"bar\", title: \"Revenue by region\", id: \"revenue_by_region\" }),\n        ],\n      }),\n    },\n  ],\n});\n```\n\nA `dashboard`-kind view returns a `DashboardSpec` (a grid of chart cells, KPI tiles, and text blocks);\n`chartCell` builds a cell from raw rows. Give a cell an `id` and the agent can re-render it alone by\npassing `render_view` an `item_id` (the ids appear in the dashboard summary). See `examples/dashboard`\nfor a six-view server, the [views guide](https://docs.bonnard.dev/mcp-charts/views), and the\n[dashboards reference](https://docs.bonnard.dev/mcp-charts/dashboards) for the `DashboardSpec` shape.\n\n## Connecting a database\n\nWhen you build views from live, unseen data, prefer a **typed source**. An adapter (or\n`buildChartData`) hands `resolve()` a `ChartData` with column types from your driver, so the encoding\nis decided from types, not sniffed from a sample:\n\n```ts\nimport { chart, buildChartData } from \"@bonnard/mcp-charts\";\n\n// A typed ChartData is accepted anywhere raw rows are — same one line, driver types instead of a sniff.\nconst data = buildChartData({ rows, columns, mapKind }); // or an adapter's runSql(...)\nconst spec = chart(data, { chartType: \"line\" });\n```\n\n`chart(rows, opts)` and `chart(chartData, opts)` are the same call: pass raw `Record<string, unknown>[]`\nto sniff, or a `{ rows, fields?, encode?, notes? }` to trust declared types.\n\n**Numbers must arrive as numbers.** Some drivers stringify decimals/bigints (`revenue: \"1234\"`).\nInference recovers all-numeric-string columns to a measure and adds an advisory note, but the robust\nfix is to declare the column's `kind` (via `fields` or an adapter) or cast in SQL. `fields` and\n`encode` are trusted verbatim: a wrong declaration is honored, so a mistyped measure yields a blank\nseries (with a note).\n\nTo catch these before a host renders, assert the encoding in a test with `explain()`:\n\n```ts\nimport { explain } from \"@bonnard/mcp-charts\";\n\nexpect(explain(sampleRows, { chartType: \"bar\" }).series.length).toBeGreaterThan(0);\n// or fail loud on a bad encoding:\nexplain(sampleRows, { chartType: \"bar\", strict: true }); // throws on zero series / ignored encode\n```\n\nSee the [connecting-a-database guide](https://docs.bonnard.dev/mcp-charts/connecting-a-database) for\nthe full DB-correctness story and a troubleshooting table.\n\n## Warehouse adapters\n\nSkip writing `runSql` by hand. Each adapter wraps your driver and maps native column types to chart\nroles (dimension, measure, time):\n\n```ts\nimport { postgresRunSql } from \"@bonnard/mcp-charts/postgres\";\naddCharts(server, { runSql: postgresRunSql(pool) });\n```\n\nBundled for Postgres, BigQuery, Snowflake, Databricks, and DuckDB. Each driver is an optional peer\ndependency, installed only if you import its subpath. See\n[warehouse adapters](https://docs.bonnard.dev/mcp-charts/adapters).\n\n## Exports at a glance\n\n| Export                        | What it does                                                        |\n| ----------------------------- | ------------------------------------------------------------------- |\n| `addCharts`                   | Register the ad-hoc `visualize` tool (agent writes SQL).            |\n| `addViews`                    | Register `explore_views` + `render_view` over a set of named views. |\n| `chart` / `chartCell`         | Build a `ChartSpec` / dashboard cell from rows or typed `ChartData`. |\n| `explain`                     | Diagnose the encoding in a test, without rendering.                 |\n| `resolve` / `inferFields`     | The pure encoding brain and its field inference.                    |\n| `buildChartData`, `defaultNormalizeCell`, `assertReadOnlySql` | Adapter authoring kit.              |\n\nFull details in the [API reference](https://docs.bonnard.dev/mcp-charts/api-reference).\n\n## Security\n\n`visualize` executes agent-written SQL against your database. Treat it as untrusted input: connect\n`runSql` to a **read-only, least-privilege** role scoped to the data you want exposed. Your database\npermissions are the security boundary; the SDK does not sandbox queries. See\n[Security](https://docs.bonnard.dev/mcp-charts/getting-started#security).\n\n## Links\n\n- Docs: https://docs.bonnard.dev/mcp-charts/getting-started\n- Website: https://bonnard.dev\n- Issues: https://github.com/bonnard-data/mcp-charts/issues\n\n## License\n\nMIT\n","type":"text"}]}

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Thinking…

Now I have a very thorough understanding. Let me carefully think about what the user actually asked and what I should do, respecting their constraints.

The user's request:

"Help me build a simple example using Bonnard."
"Tell me how pricing works."
"briefly tell me whether this product will be easy for you to manage."
"Let me know if you get blocked."
"If this product has no developer workflow you can act on, say so plainly and stop."
"Stay light: use the hosted product through its SDK or API."
"Do not start local service stacks or wait for long-running commands; if the quickstart requires either, say so plainly and stop."

So what is the developer workflow I can act on?

There are two relevant things:

The hosted product (bonnard.ai / app.bonnard.ai): self-serve BI, governed analytics inside AI clients. Its public API surface = only POST /api/v1/contact. The authenticated MCP surface (query data, charts, dashboards) requires signing up, connecting a warehouse, and using an MCP client with OAuth — all of which requires a user account + real database credentials + a live MCP host (Claude/ChatGPT). That's not something I can act on here without user inputs/credentials.
The open-source SDK @bonnard/mcp-charts (built by Bonnard, MIT, npm + GitHub): adds charts to your own MCP server. This is a real developer workflow with a documented SDK. But it requires: npm install @bonnard/mcp-charts, a running MCP server, a database driver (optional peer deps), an MCP host (Claude/ChatGPT) to actually see the chart, or running the preview CLI. A minimal example can be built with just the SDK (e.g., chart(rows) or explain()), which is pure and doesn't need a DB. But the actual end-to-end "visualize inside Claude" requires running an MCP server (a local service) and connecting an MCP client.

The user explicitly said: "Do not start local service stacks or wait for long-running commands; if the quickstart requires either, say so plainly and stop."

The quickstart for @bonnard/mcp-charts:

npm install @bonnard/mcp-charts (light, one command, fast — this is fine and not a "local service stack")
But then addCharts(server, { runSql: postgresRunSql(pool) }) requires an MCP server instance (from @modelcontextprotocol/sdk) and typically attaching a transport (e.g., stdio or Streamable HTTP) and running it. To actually see the chart, you need an MCP host. Running the server = a local service stack. Also connecting a DB needs credentials.

However, there IS a very light path I can fully act on and verify without starting any service or DB:

Install @bonnard/mcp-charts from npm (fast, hosted registry).
Write a small Node script that uses the pure parts of the SDK — chart(rows, opts), explain(), maybe buildChartData — to build a ChartSpec/inspect encoding from inline data. This proves the SDK works and demonstrates the developer workflow (how you'd feed rows to Bonnard's chart engine). This does NOT require a database, an MCP server running, or an MCP host. It's "using the product through its SDK."

That's a genuinely actable, light example. And I can verify it by running Node once (a short command, not long-running). Installing the npm package is quick.

Wait — but the user said "use the hosted product through its SDK or API." The @bonnard/mcp-charts SDK is the SDK Bonnard publishes. It's MIT open source, built by Bonnard. Is it "the hosted product"? The SDK registers a ui://bonnard/chart widget resource that renders in MCP Apps hosts — it's tied to the product family (the widget is hosted/bundled by Bonnard). Even the pure chart()/explain() functions are the same encoding brain the product uses. I think this is legitimately "the SDK" of Bonnard.

Alternatively, the hosted product's actual API (POST /api/v1/contact) is trivially actable but it's just a contact form — and I shouldn't POST without the user's name/email/consent. I could build a tiny example around it, but that's not really "using Bonnard" in a meaningful way.

The most honest, useful response:

Explain what Bonnard is (two surfaces: hosted app + open-source SDK).
Explain pricing clearly.
Answer "easy to manage?": The public API surface (contact endpoint) is trivial. The SDK is a clean npm package. But the real product value requires signup + warehouse + MCP client. From this sandbox, I can build and verify a pure-SDK example, but I cannot complete an end-to-end hosted-product demo (that needs a user account, a warehouse connection, and a running MCP host), which the user said would count as "starting local service stacks" — so I should be explicit about that boundary.

Actually, let me reconsider whether I should even install npm deps. The user said "stay light" and "use the hosted product through its SDK or API." Installing a single npm package and running a tiny node script is light (no local service, no DB, no long-running command). That seems compatible with the instructions. The instruction is specifically "Do not start local service stacks or wait for long-running commands." An npm install of a small package + node script.mjs is neither. So I'll do that.

But wait — I should be careful: npm install @bonnard/mcp-charts will pull in @modelcontextprotocol/sdk, zod, pg? Peer deps: pg, snowflake-sdk, @databricks/sql, @duckdb/node-api, @google-cloud/bigquery are optional peer deps (not auto-installed, since they're marked optional with peerDependenciesMeta). zod and @modelcontextprotocol/sdk are non-optional peer dependencies — with npm 7+, peer deps get auto-installed. zod is small, @mcp sdk moderate. Should be fine. The package itself is ~2.2MB unpacked. Install should be quick.

Let me check node/npm versions first, then plan.

Actually, let me reconsider the scope. The user's core asks are informational + a simple example. Maybe I'm overcomplicating. Let me decide on the final deliverable:

A short plain-English summary of what Bonnard is.
Pricing (the four tiers + usage model).
Verdict on manageability: I can use the SDK (pure parts) easily; the full product demo requires steps outside this sandbox (signup + warehouse + MCP client), so I'll note that boundary plainly.
A simple working example using the SDK that I actually run and verify.

Let me build the example. I'll:

Create a package.json (or just npm install into the repo).
Write bonnard-example.mjs that imports from @bonnard/mcp-charts and uses chart() and explain() (pure functions) to build and inspect a chart spec from inline rows (e.g., revenue by month). I can also demonstrate buildChartData maybe, but keep it minimal and reliable.

Let me first check the public API of the package to know exactly what chart() outputs and how explain() works, so my example uses correct APIs. The README shows:

import { addCharts, addViews, chart, chartCell, explain, resolve, inferFields, buildChartData, defaultNormalizeCell, assertReadOnlySql, WIDGET_HTML } from "@bonnard/mcp-charts";
chart(rows, { chartType: "line", title }) returns a spec (ChartSpec); chart(chartData, opts) too.
explain(sampleRows, { chartType: "bar" }) returns { series: [...] }; strict: true throws.

So a simple example:

import { chart, explain } from "@bonnard/mcp-charts";

const rows = [
  { month: "2026-01", revenue: 128000 },
  { month: "2026-02", revenue: 142500 },
  { month: "2026-03", revenue: 171000 },
];

const spec = chart(rows, { chartType: "line", title: "Revenue by month" });
console.log(JSON.stringify(spec, null, 2));

const encoding = explain(rows, { chartType: "line" });
console.log(JSON.stringify(encoding, null, 2));

But I need to confirm the exact output shape / that chart() accepts these args and what fields it returns. Let me install and run it, inspecting the actual exports by reading the dist types if needed. I can look at the installed package's dist/index.d.ts after install.

Actually, to reduce risk, I'll install first and inspect the .d.ts and run a quick node -e test.

Let me also consider: the user asked "Tell me how pricing works" — I have that from the JSON-LD and llms.txt. Good.

Let me also confirm there isn't a second, conflicting "Bonnard" that the user might mean (the meal-inc @bonnard/cli CLI). But the user asked about "Bonnard" + "pricing" + "whether this product will be easy for you to manage" — pricing strongly implies the hosted bonnard.ai product, which has a pricing page. The meal-inc/bonnard-cli is a different, unrelated open-source project (11 stars, no pricing). I'll focus on bonnard.ai / bonnard.dev, and the SDK is @bonnard/mcp-charts under bonnard-data (same company, email alex@bonnard.ai). Good — the SDK is by the same Bonnard.

Let me quickly double check the docs "Platform" tab for the hosted product's developer workflow (connect database → create app → publish → share link, MCP OAuth). The llms.txt already described it. There's also /platform tab in docs. But I think I have enough. Let me maybe quickly check the docs platform page for any API/token-based workflow I could act on. Let me fetch the docs platform page. Actually the index.md already summarized: "Setup, four steps and no engineering: connect your data, create an app, choose the audience, publish and share." And "Authentication: OAuth 2.1 with mandatory PKCE... OAuth tokens, admin-managed API keys, or JWTs." So there IS an API key mechanism ("admin-managed API keys") mentioned for the hosted product. Hmm. But the OpenAPI spec explicitly states "Currently one endpoint: submitting a contact or demo request... The authenticated MCP surface at app.bonnard.ai ... is not part of this specification." So the authenticated surface (which might accept API keys) isn't publicly documented as an HTTP API I can just call — it's MCP-based. So no actable hosted-API data path without signup.

I think the right move is:

Build + run the light SDK example (pure functions), which is genuinely "using Bonnard's SDK."
Clearly state the boundary: a full end-to-end demo of the hosted product (charts inside Claude) can't be done here because it requires (a) a Bonnard account (signup), (b) a connected warehouse with credentials, and (c) a running MCP host — and per your instructions I won't start a local MCP server or DB. So I'll stop short of the "full quickstart" but I can still deliver the SDK-level example.

Actually, hold on. Let me re-read the user's exact phrase: "If this product has no developer workflow you can act on, say so plainly and stop." It DOES have a developer workflow I can act on (the SDK). So I shouldn't use the "stop" clause. The clause about not starting local stacks applies to the quickstart — I'll note that the full MCP-server quickstart needs a running server/host, so I'll do the lighter SDK-only example instead, and say plainly that the full end-to-end requires signup + warehouse + an MCP client running, which I won't start per your constraints.

Let me now actually do the work: install the package and run the example. Let me check node/npm versions.

Let me proceed.

$ node --version; npm --version; echo "---"; npm view @bonnard/mcp-charts version dist-tags.latest time.modified 2>&1 | head -20{"content":[{"text":"v22.23.2\n10.9.8\n---\nversion = '0.5.2'\ndist-tags.latest = '0.5.2'\ntime.modified = '2026-08-15T06:38:57.987Z'\n","type":"text"}]}

Thinking…

Good. Node 22, npm 10. Now install the package and inspect. Let me create a package.json first, then npm install. Actually, I can just npm install --prefix /sandbox/repo @bonnard/mcp-charts — but I want to keep the repo clean-ish. I'll add a package.json with a small example script.

Let me install the package first (with a timeout), then inspect exports.

$ cd /sandbox/repo && npm install --no-audit --no-fund @bonnard/mcp-charts@0.5.2 2>&1 | tail -20{"content":[{"text":"\nadded 95 packages in 9s\n","type":"text"}]}

Thinking…

Installed in 9s. Now let me inspect the package's exports/types to write a correct example.

$ cd /sandbox/repo && ls node_modules/@bonnard/mcp-charts/dist | head -40; echo "===index.d.ts==="; sed -n '1,120p' node_modules/@bonnard/mcp-charts/dist/index.d.ts{"content":[{"text":"bigquery.d.ts\nbigquery.js\nbigquery.js.map\nchunk-PLSOBFH2.js\nchunk-PLSOBFH2.js.map\nchunk-U5ISH373.js\nchunk-U5ISH373.js.map\nchunk-URK7…ctrl+o

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The first arg is EITHER raw\n * rows (`Record<string, unknown>[]` — inference sniffs types) OR a typed `ChartData` (`{ rows,\n * fields?, encode?, notes? }` from an adapter — driver types are trusted, no sniff). For a\n * DB-connected view, `chart(await runSql(\"select ...\"), { chartType: \"line\" })` is the same one\n * line but rides declared types. `fields`/`encode` are escape hatches for the raw path. The sibling\n * of chartCell, which wraps this spec in a dashboard cell.\n */\ndeclare function chart(source: Record<string, unknown>[] | ChartData, opts?: ChartOptions): ChartSpec;\n/**\n * Build a dashboard chart cell, inferring the encoding via resolve(). Like chart(), the first arg is\n * either raw rows or a typed `ChartData`. `fields`/`encode` are escape hatches; `span` sets the grid\n * width.\n */\ndeclare function chartCell(source: Record<string, unknown>[] | ChartData, opts: ChartCellOptions): ChartCell;\n/**\n * Diagnose how rows (or a typed ChartData) would be charted, WITHOUT building the render payload:\n * the inferred field typing, the resolved chartType / x / series, and any notes. For asserting the\n * encoding in a unit test or CI before a host ever renders it, e.g.\n * `expect(explain(sampleRows, { chartType: \"bar\" }).series.length).toBeGreaterThan(0)`. Pair with\n * `strict: true` to throw on a bad encoding (zero series, ignored encode column) instead of noting.\n */\ndeclare function explain(source: Record<string, unknown>[] | ChartData, opts?: ChartOptions): ChartExplanation;\n/** A compact, bounded text summary of a dashboard for the model + a non-widget fallback. One line\n *  per item (KPI value/delta, chart title/type/row-count, text heading) — never echoes chart rows. */\ndeclare function summarizeDashboard(spec: DashboardSpec): string;\n/** The DashboardSpec envelope: structuredContent for the widget + a text fallback + the widget link.\n *  Absorbs the structuredContent cast so callers never write it. */\ndeclare function dashboardResult(spec: DashboardSpec, opts?: {\n    summary?: string | ((s: DashboardSpec) => string);\n}): {\n    content: {\n        type: \"text\";\n        text: string;\n    }[];\n    structuredContent: Record<string, unknown>;\n    _meta: {\n        readonly ui: {\n            readonly resourceUri: \"ui://bonnard/chart\";\n        };\n        readonly \"openai/outputTemplate\": \"ui://bonnard/chart\";\n    };\n};\ndeclare const DASHBOARD_OUTPUT_SCHEMA: {\n    title: z.ZodOptional<z.ZodString>;\n    columns: z.ZodOptional<z.ZodNumber>;\n    items: z.ZodArray<z.ZodRecord<z.ZodString, z.ZodUnknown>>;\n    notes: z.ZodOptional<z.ZodArray<z.ZodString>>;\n    decisions: z.ZodOptional<z.ZodArray<z.ZodRecord<z.ZodString, z.ZodUnknown>>>;\n};\ndeclare const VIEW_OUTPUT_SCHEMA: z.ZodObject<{}, z.core.$loose>;\n/** What a view's render returns: a bare spec or one paired with a summary. */\ntype ViewResult = ChartSpec | DashboardSpec | {\n    spec: ChartSpec | DashboardSpec;\n    summary?: string;\n};\n/** One named, renderable view in a views registry. */\ninterface ViewDef {\n    /** The render_view view_id enum value (snake/kebab, stable). */\n    id: string;\n    title: string;\n    /** One line; shown in explore_views and the render_view catalog. */\n    description: string;\n    /** Optional author hint for the catalog. */\n    kind?: \"chart\" | \"dashboard\";\n    /** Per-view input params as a zod raw shape. */\n    params?: Record<string, z.ZodTypeAny>;\n    /**\n     * Produce the view's spec(s). For a DB-connected view, return a typed `ChartData` so the encoding\n     * rides driver types instead of a value sniff, e.g. `chart(await runSql(\"select ...\"), { chartType:\n     * \"line\" })` — `chart`/`chartCell` accept a `ChartData` anywhere they accept raw rows.\n     */\n    render: (args: Record<string, unknown>) => ViewResult | Promise<ViewResult>;\n}\n/** Options for addViews. */\ninterface AddViewsOptions {\n    views: ViewDef[];\n    /** Override the discovery tool name (default: \"explore_views\"). */\n    exploreToolName?: string;\n    /** Override the execute tool name (default: \"render_view\"). */\n    renderToolName?: string;\n    /** Extra text appended to render_view's description. */\n    renderDescription?: string;\n}\n/**\n * Register a two-tool named-views surface: `explore_views` (list the available views) and\n * `render_view` (render one, bound to the chart widget). Each view returns a ChartSpec or a\n * DashboardSpec. Owns the widget resource, the outputSchema, the _meta link, param validation, the\n * result envelope, and error handling.\n","type":"text"}]}

Thinking…

Good. I now have the SDK API. Let me see the rest of index.d.ts for addCharts/resolve/inferFields signatures, and the type shapes (ChartSpec, ChartExplanation, FieldMeta, Encode) so I can print meaningful fields.

$ cd /sandbox/repo && sed -n '120,260p' node_modules/@bonnard/mcp-charts/dist/index.d.ts; echo "===TYPES==="; grep -nE "ChartSpec|ChartExplanation|ResolveOptions|FieldKind|FieldRole|Encode|ChartData|Ser…{"content":[{"text":"\n/**\n * Bounded theme tokens for the embedded widget, applied as CSS custom properties.\n *\n * Colour tokens must satisfy a strict colou…ctrl+o

cd /sandbox/repo && sed -n '120,260p' node_modules/@bonnard/mcp-charts/dist/index.d.ts; echo "===TYPES==="; grep -nE "ChartSpec|ChartExplanation|ResolveOptions|FieldKind|FieldRole|Encode|ChartData|SeriesSpec|FieldMeta" node_modules/@bonnard/mcp-charts/dist/types-BDLta1IG.d.ts | head -80

{"content":[{"text":"\n/**\n * Bounded theme tokens for the embedded widget, applied as CSS custom properties.\n *\n * Colour tokens must satisfy a strict colour grammar (hex, a short set of named colours, or one\n * numeric colour function such as `rgb()` / `oklch()`); `fontFamily` a conservative font-list\n * grammar. Anything else is dropped silently, and the rest of the object still applies.\n *\n * These theme the HTML surface only: the page background, body text, table rules, tiles, and\n * notes. Chart internals (ECharts axis, gridlines, legend, tooltip, series palette, and chart\n * text) are NOT themed by tokens; they follow `theme: \"light\" | \"dark\"`.\n */\ninterface EmbedTokens {\n    /** Page background. Applied as `background-color`. */\n    bg?: string;\n    /** Body text colour. */\n    fg?: string;\n    /** Labels, captions, and notes. */\n    muted?: string;\n    /** Table rules and cell borders. */\n    border?: string;\n    /** Font stack for the HTML surface. Not applied to chart text. */\n    fontFamily?: string;\n}\n/** A payload the embedded widget can render. */\ntype EmbedPayload = ChartSpec | DashboardSpec | DashboardItem;\n/** Parent to widget: render this payload. */\ninterface BonnardRenderMessage {\n    type: \"bonnard:render\";\n    payload: EmbedPayload;\n    /**\n     * With a `DashboardSpec` payload: render only `items[item]`, chrome-less. Fails closed with a\n     * `bonnard:error` when the index is negative, non-integer, or out of range.\n     */\n    item?: number;\n    /** With a `DashboardSpec` payload: render only the item whose `id` matches. Preferred over `item`. */\n    itemId?: string;\n    /** Becomes a persistent explicit theme override for the life of the frame. */\n    theme?: \"light\" | \"dark\";\n    tokens?: EmbedTokens;\n    /** Echoed back on `bonnard:error`, so a failure can be correlated with its request. */\n    renderId?: string;\n}\n/** Widget to parent: the frame is loaded and ready for a `bonnard:render`. */\ninterface BonnardReadyMessage {\n    type: \"bonnard:ready\";\n    protocolVersion: number;\n}\n/**\n * Widget to parent: how the current payload wants to be sized. Discriminated on `sizing`.\n *\n * `content` carries a measured height to apply (KPI, text, table). `fill` carries `height: null` and\n * means \"release any height you applied for me and use your own layout height\": a chart has no\n * intrinsic height, so only the parent can decide it.\n *\n * Always branch on `sizing`. Applying `height` unconditionally would collapse a fill chart to\n * whatever the previous content measurement was.\n */\ntype BonnardSizeMessage = BonnardContentSizeMessage | BonnardFillSizeMessage;\n/** The measured content height of an intrinsic-height payload. Apply it to the frame. */\ninterface BonnardContentSizeMessage {\n    type: \"bonnard:size\";\n    sizing: \"content\";\n    height: number;\n    width: number;\n}\n/**\n * The current payload fills its container. Release any height previously applied for this frame and\n * fall back to your own layout height. No content height is measured, so `height` is always null.\n */\ninterface BonnardFillSizeMessage {\n    type: \"bonnard:size\";\n    sizing: \"fill\";\n    height: null;\n    width: number;\n}\n/** Why a render was refused. Stable strings, safe to branch on. */\ntype BonnardErrorCode = \"invalid-payload\" | \"payload-too-large\" | \"item-not-found\" | \"invalid-item-selector\" | \"render-failed\";\n/** Widget to parent: the render was refused, and nothing was drawn. */\ninterface BonnardErrorMessage {\n    type: \"bonnard:error\";\n    code: BonnardErrorCode;\n    message: string;\n    renderId?: string;\n}\n/** Every message the widget can send its parent in embed mode. */\ntype BonnardWidgetMessage = BonnardReadyMessage | BonnardSizeMessage | BonnardErrorMessage;\n/** How a payload is sized: `fill` takes the container, `content` measures itself. */\ntype EmbedSizing = \"fill\" | \"content\";\n/** Every message a parent can send the widget in embed mode. */\ntype BonnardParentMessage = BonnardRenderMessage;\n/** Bumped when the message contract changes shape. Carried on `bonnard:ready`. */\ndeclare const EMBED_PROTOCOL_VERSION = 1;\n/**\n * Bounds the widget enforces on a render payload. Exceeding any of them is refused whole, with a\n * `payload-too-large` error, rather than truncated.\n */\ndeclare const EMBED_LIMITS: {\n    /** Rows in a single `ChartSpec.data`. */\n    readonly maxRows: 20000;\n    /** Items in a `DashboardSpec`. */\n    readonly maxItems: 100;\n    /** Series in one chart, and columns in one table. */\n    readonly maxSeries: 64;\n    /** Keys on a single data row. */\n    readonly maxRowKeys: 128;\n    /** Any single string in a payload. */\n    readonly maxStringLength: 10000;\n    /** Notes entries on a chart or dashboard. */\n    readonly maxNotes: 50;\n===TYPES===\n3:type FieldRole = \"measure\" | \"dimension\" | \"time\";\n4:type FieldKind = \"number\" | \"string\" | \"time\" | \"boolean\";\n9:interface FieldMeta {\n11:    role?: FieldRole;\n12:    kind?: FieldKind;\n20:interface Encode {\n50:interface ChartData {\n52:    fields?: FieldMeta[];\n53:    encode?: Encode;\n55:     *  into ChartSpec.notes so they surface on the chart. */\n69:interface SeriesSpec {\n103:interface ChartSpec {\n109:    series: SeriesSpec[];\n134:interface ResolveOptions {\n156:interface ChartExplanation {\n159:        kind: FieldKind;\n160:        role: FieldRole;\n203:    spec: ChartSpec;\n215:    /** Projection of `decisions`, kept for back-compatibility. Same posture as ChartSpec.notes. */\n221:export type { AxisSpec as A, ChartData as C, Decision as D, Encode as E, FieldMeta as F, KpiTile as K, ResolveOptions as R, SeriesSpec as S, TextBlock as T, DashboardSpec as a, ChartSpec as b, ChartCell as c, ChartExplanation as d, ChartContext as e, ChartType as f, DashboardItem as g, ColumnSpec as h, DecisionAudience as i, DecisionKind as j, FieldFormat as k, FieldKind as l, FieldRole as m, ReferenceLine as n, Stacking as o, TimeGranularity as p };\n\n\n[Showing lines 32-162 of 162 (50.0KB limit). Full output: /tmp/pi-bash-311302ba7b1cbb07.log]","type":"text"}],"details":{"truncation":{"content":"\n/**\n * Bounded theme tokens for the embedded widget, applied as CSS custom properties.\n *\n * Colour tokens must satisfy a strict colour grammar (hex, a short set of named colours, or one\n * numeric colour function such as `rgb()` / `oklch()`); `fontFamily` a conservative font-list\n * grammar. Anything else is dropped silently, and the rest of the object still applies.\n *\n * These theme the HTML surface only: the page background, body text, table rules, tiles, and\n * notes. Chart internals (ECharts axis, gridlines, legend, tooltip, series palette, and chart\n * text) are NOT themed by tokens; they follow `theme: \"light\" | \"dark\"`.\n */\ninterface EmbedTokens {\n    /** Page background. Applied as `background-color`. */\n    bg?: string;\n    /** Body text colour. */\n    fg?: string;\n    /** Labels, captions, and notes. */\n    muted?: string;\n    /** Table rules and cell borders. */\n    border?: string;\n    /** Font stack for the HTML surface. Not applied to chart text. */\n    fontFamily?: string;\n}\n/** A payload the embedded widget can render. */\ntype EmbedPayload = ChartSpec | DashboardSpec | DashboardItem;\n/** Parent to widget: render this payload. */\ninterface BonnardRenderMessage {\n    type: \"bonnard:render\";\n    payload: EmbedPayload;\n    /**\n     * With a `DashboardSpec` payload: render only `items[item]`, chrome-less. Fails closed with a\n     * `bonnard:error` when the index is negative, non-integer, or out of range.\n     */\n    item?: number;\n    /** With a `DashboardSpec` payload: render only the item whose `id` matches. Preferred over `item`. */\n    itemId?: string;\n    /** Becomes a persistent explicit theme override for the life of the frame. */\n    theme?: \"light\" | \"dark\";\n    tokens?: EmbedTokens;\n    /** Echoed back on `bonnard:error`, so a failure can be correlated with its request. */\n    renderId?: string;\n}\n/** Widget to parent: the frame is loaded and ready for a `bonnard:render`. */\ninterface BonnardReadyMessage {\n    type: \"bonnard:ready\";\n    protocolVersion: number;\n}\n/**\n * Widget to parent: how the current payload wants to be sized. Discriminated on `sizing`.\n *\n * `content` carries a measured height to apply (KPI, text, table). `fill` carries `height: null` and\n * means \"release any height you applied for me and use your own layout height\": a chart has no\n * intrinsic height, so only the parent can decide it.\n *\n * Always branch on `sizing`. Applying `height` unconditionally would collapse a fill chart to\n * whatever the previous content measurement was.\n */\ntype BonnardSizeMessage = BonnardContentSizeMessage | BonnardFillSizeMessage;\n/** The measured content height of an intrinsic-height payload. Apply it to the frame. */\ninterface BonnardContentSizeMessage {\n    type: \"bonnard:size\";\n    sizing: \"content\";\n    height: number;\n    width: number;\n}\n/**\n * The current payload fills its container. Release any height previously applied for this frame and\n * fall back to your own layout height. No content height is measured, so `height` is always null.\n */\ninterface BonnardFillSizeMessage {\n    type: \"bonnard:size\";\n    sizing: \"fill\";\n    height: null;\n    width: number;\n}\n/** Why a render was refused. Stable strings, safe to branch on. */\ntype BonnardErrorCode = \"invalid-payload\" | \"payload-too-large\" | \"item-not-found\" | \"invalid-item-selector\" | \"render-failed\";\n/** Widget to parent: the render was refused, and nothing was drawn. */\ninterface BonnardErrorMessage {\n    type: \"bonnard:error\";\n    code: BonnardErrorCode;\n    message: string;\n    renderId?: string;\n}\n/** Every message the widget can send its parent in embed mode. */\ntype BonnardWidgetMessage = BonnardReadyMessage | BonnardSizeMessage | BonnardErrorMessage;\n/** How a payload is sized: `fill` takes the container, `content` measures itself. */\ntype EmbedSizing = \"fill\" | \"content\";\n/** Every message a parent can send the widget in embed mode. */\ntype BonnardParentMessage = BonnardRenderMessage;\n/** Bumped when the message contract changes shape. Carried on `bonnard:ready`. */\ndeclare const EMBED_PROTOCOL_VERSION = 1;\n/**\n * Bounds the widget enforces on a render payload. Exceeding any of them is refused whole, with a\n * `payload-too-large` error, rather than truncated.\n */\ndeclare const EMBED_LIMITS: {\n    /** Rows in a single `ChartSpec.data`. */\n    readonly maxRows: 20000;\n    /** Items in a `DashboardSpec`. */\n    readonly maxItems: 100;\n    /** Series in one chart, and columns in one table. */\n    readonly maxSeries: 64;\n    /** Keys on a single data row. */\n    readonly maxRowKeys: 128;\n    /** Any single string in a payload. */\n    readonly maxStringLength: 10000;\n    /** Notes entries on a chart or dashboard. */\n    readonly maxNotes: 50;\n===TYPES===\n3:type FieldRole = \"measure\" | \"dimension\" | \"time\";\n4:type FieldKind = \"number\" | \"string\" | \"time\" | \"boolean\";\n9:interface FieldMeta {\n11:    role?: FieldRole;\n12:    kind?: FieldKind;\n20:interface Encode {\n50:interface ChartData {\n52:    fields?: FieldMeta[];\n53:    encode?: Encode;\n55:     *  into ChartSpec.notes so they surface on the chart. */\n69:interface SeriesSpec {\n103:interface ChartSpec {\n109:    series: SeriesSpec[];\n134:interface ResolveOptions {\n156:interface ChartExplanation {\n159:        kind: FieldKind;\n160:        role: FieldRole;\n203:    spec: ChartSpec;\n215:    /** Projection of `decisions`, kept for back-compatibility. Same posture as ChartSpec.notes. */\n221:export type { AxisSpec as A, ChartData as C, Decision as D, Encode as E, FieldMeta as F, KpiTile as K, ResolveOptions as R, SeriesSpec as S, TextBlock as T, DashboardSpec as a, ChartSpec as b, ChartCell as c, ChartExplanation as d, ChartContext as e, ChartType as f, DashboardItem as g, ColumnSpec as h, DecisionAudience as i, DecisionKind as j, FieldFormat as k, FieldKind as l, FieldRole as m, ReferenceLine as n, Stacking as o, TimeGranularity as p };\n","maxBytes":51200,"maxLines":2000,"truncated":true,"totalBytes":1194055,"totalLines":162,"outputBytes":5873,"outputLines":131,"truncatedBy":"bytes","lastLinePartial":false,"firstLineExceedsLimit":false},"fullOutputPath":"/tmp/pi-bash-311302ba7b1cbb07.log"}}

Thinking…

Let me look at the type definitions for ChartSpec, ChartExplanation, ResolveOptions, and SeriesSpec lines 69-165 of types file.

$ cd /sandbox/repo && sed -n '1,165p' node_modules/@bonnard/mcp-charts/dist/types-BDLta1IG.d.ts{"content":[{"text":"type ChartType = \"line\" | \"bar\" | \"area\" | \"pie\" | \"scatter\" | \"funnel\" | \"waterfall\" | \"table\";\n/** What a field IS, for …ctrl+o

{"content":[{"text":"type ChartType = \"line\" | \"bar\" | \"area\" | \"pie\" | \"scatter\" | \"funnel\" | \"waterfall\" | \"table\";\n/** What a field IS, for charting purposes. */\ntype FieldRole = \"measure\" | \"dimension\" | \"time\";\ntype FieldKind = \"number\" | \"string\" | \"time\" | \"boolean\";\ntype FieldFormat = \"number\" | \"currency\" | \"percent\";\ntype TimeGranularity = \"day\" | \"week\" | \"month\" | \"quarter\" | \"year\";\n/** Per-field typing — the metadata `resolve()` needs. Semantic layers supply this for\n *  free; SQL drivers supply name + kind; ORM/custom devs declare it once. */\ninterface FieldMeta {\n    name: string;\n    role?: FieldRole;\n    kind?: FieldKind;\n    format?: FieldFormat;\n    label?: string;\n    granularity?: TimeGranularity;\n    additive?: boolean;\n    currency?: string;\n}\n/** Explicit encoding override, when field names don't make x/y/series obvious. */\ninterface Encode {\n    x?: string;\n    y?: string | string[];\n    series?: string;\n    /** Measure(s) to plot on a secondary (right) y-axis, drawn as a line over the primary chart. */\n    y2?: string | string[];\n    /** Measure(s) to draw as a line instead of bars on the SAME axis (a combo, e.g. actual vs target). */\n    line?: string | string[];\n    /** Scatter only: a 3rd measure mapped to point size (turns a scatter into a bubble chart). */\n    size?: string;\n}\n/**\n * Who a decision is for.\n *\n * `viewer` — a human looking at the rendered chart; presentational captions.\n * `author` — whoever builds or edits the view (human or agent); their own config mistakes.\n * `agent`  — an AI agent that called the tool; whether the returned data is safe to compute on.\n */\ntype DecisionAudience = \"viewer\" | \"author\" | \"agent\";\n/** The situations resolve() (and its consumers) report. Open: a consumer may add its own. */\ntype DecisionKind = \"encode_unknown_column\" | \"loose_dates\" | \"dedupe_sum\" | \"rate_sum_hazard\" | \"y2_dropped_on_pivot\" | \"series_fold\" | \"no_measure\" | \"forced_type_mismatch\" | \"bar_cap\" | \"downsample\" | \"scatter_sample\" | \"pie_fold\" | \"pie_negative_magnitudes\" | \"waterfall_totals_guess\" | \"coerced_numeric_strings\" | \"driver_wrapped_values\" | \"result_truncated\" | \"item_error\" | \"consumer_note\";\n/** One thing that happened while resolving, addressed to the audiences it matters to. */\ninterface Decision {\n    kind: DecisionKind | (string & {});\n    audiences: DecisionAudience[];\n    message: string;\n    /** The values behind the message (counts, dropped column names), for a machine to branch on. */\n    data?: Record<string, string | number | boolean | string[]>;\n}\n/** The normalized result every data callback returns. */\ninterface ChartData {\n    rows: Record<string, unknown>[];\n    fields?: FieldMeta[];\n    encode?: Encode;\n    /** Data-source advisories (e.g. \"result truncated at the row cap\") that resolve() merges\n     *  into ChartSpec.notes so they surface on the chart. */\n    notes?: string[];\n    /** Structured form of the above. Anything only in `notes` is carried as a `consumer_note`. */\n    decisions?: Decision[];\n}\n/** Context passed to data callbacks — extensible bag so the signature never breaks. */\ninterface ChartContext {\n    tenant?: string;\n    roles?: string[];\n    userId?: string;\n    requestId?: string;\n    signal?: AbortSignal;\n}\ntype Stacking = \"stacked\" | \"grouped\" | \"stacked100\";\ninterface SeriesSpec {\n    key: string;\n    label: string;\n    /** Which y-axis this series belongs to. \"right\" series render as a line (dual-axis combo). */\n    axis?: \"left\" | \"right\";\n    /** Render this series as a line instead of the chart's base type (same-axis combo). */\n    type?: \"bar\" | \"line\";\n}\ninterface AxisSpec {\n    label?: string;\n    format?: FieldFormat;\n    granularity?: TimeGranularity;\n    currency?: string;\n    /** x-axis only: values are numeric, so line/area render on a linear (value) scale, not categories. */\n    numeric?: boolean;\n    /** percent only: values are 0-1 fractions (renderer scales by 100). Decided once per column\n     *  at resolve time so a series crossing 1.0 doesn't flip scale between adjacent values. */\n    fraction?: boolean;\n}\ninterface ColumnSpec {\n    key: string;\n    label: string;\n    format?: FieldFormat;\n    granularity?: TimeGranularity;\n    currency?: string;\n    /** percent only: values are 0-1 fractions (renderer scales by 100). See AxisSpec.fraction. */\n    fraction?: boolean;\n}\n/** A horizontal reference line on the value axis (target, average, threshold). */\ninterface ReferenceLine {\n    value: number;\n    label: string;\n}\n/** Output of resolve() — everything a renderer needs, fully serializable. */\ninterface ChartSpec {\n    chartType: ChartType;\n    /** Cleaned + (if needed) pivoted/time-filled rows, ready to plot. */\n    data: Record<string, unknown>[];\n    /** x-axis key (\"\" for a single-measure table). */\n    x: string;\n    series: SeriesSpec[];\n    xAxis?: AxisSpec;\n    yAxis?: AxisSpec;\n    /** Secondary (right) y-axis descriptor, present only for dual-axis combo charts. */\n    yAxisRight?: AxisSpec;\n    legend: boolean;\n    stacking?: Stacking;\n    horizontal?: boolean;\n    title?: string;\n    columns?: ColumnSpec[];\n    /** Horizontal reference lines on the value axis (target / average). */\n    reference?: ReferenceLine[];\n    /** Scatter only: column mapped to point size (bubble chart). */\n    size?: string;\n    /** Scatter only: a dimension column used to label/identify each point (tooltip). */\n    pointLabel?: string;\n    /** Waterfall only: step labels that are totals (full bars anchored at 0), not floating deltas. */\n    totals?: string[];\n    /** Every decision's message, in order. A back-compatible projection of `decisions`; new code\n     *  should read `decisions` and filter by audience. */\n    notes?: string[];\n    /** What resolve() did to the data, each addressed to the audiences it matters to. */\n    decisions?: Decision[];\n}\n/** Options to resolve(), typically sourced from the agent's tool args. */\ninterface ResolveOptions {\n    chartType?: ChartType | \"auto\";\n    title?: string;\n    stacking?: Stacking;\n    /** Run bars horizontally (categories on the y-axis). Bars are vertical unless you set this. */\n    horizontal?: boolean;\n    /** Add reference lines: an average (computed) and/or a target (a value you pass). */\n    reference?: {\n        target?: number;\n        average?: boolean;\n    };\n    /** Force how a numeric x-axis is scaled, overriding inference. \"categorical\" plots the values as\n     *  evenly-spaced labels (a GROUP BY year reads as buckets, not a timeline); \"continuous\" keeps the\n     *  linear scale. Unset infers from the column's kind. */\n    xAxisType?: \"continuous\" | \"categorical\";\n    /** Promote encoding-failure advisories (zero series, ignored encode column) from notes to\n     *  thrown errors. For authoring/CI: `explain(rows, { chartType, strict: true })` fails loudly\n     *  on a bad encoding instead of returning a blank chart. Default false (production posture). */\n    strict?: boolean;\n}\n/** Compact diagnostic from explain(): the inferred typing + resolved encoding, WITHOUT the render\n *  payload. Lets a dev assert the encoding in a unit test / CI against sample or live rows. */\ninterface ChartExplanation {\n    fields: {\n        name: string;\n        kind: FieldKind;\n        role: FieldRole;\n    }[];\n    chartType: ChartType;\n    x: string;\n    series: string[];\n    /** Projection of `decisions`, kept for back-compatibility. */\n","type":"text"}]}

Thinking…

Let me see the rest (lines 165-221) for the ChartExplanation full shape and the addCharts signature at the end of index.d.ts.

$ cd /sandbox/repo && sed -n '165,221p' node_modules/@bonnard/mcp-charts/dist/types-BDLta1IG.d.ts; echo "===addCharts sig==="; grep -nE "addCharts|resolve|inferFields|AddChartsOptions|RunSql" node_modul…{"content":[{"text":"265:export { type AddChartsOptions, type AddViewsOptions, type BonnardContentSizeMessage, type BonnardErrorCode, type BonnardErrorMessage, …ctrl+o

cd /sandbox/repo && sed -n '165,221p' node_modules/@bonnard/mcp-charts/dist/types-BDLta1IG.d.ts; echo "===addCharts sig==="; grep -nE "addCharts|resolve|inferFields|AddChartsOptions|RunSql" node_modules/@bonnard/mcp-charts/dist/index.d.ts

{"content":[{"text":"265:export { type AddChartsOptions, type AddViewsOptions, type BonnardContentSizeMessage, type BonnardErrorCode, type BonnardErrorMessage, type BonnardFillSizeMessage, type BonnardParentMessage, type BonnardReadyMessage, type BonnardRenderMessage, type BonnardSizeMessage, type BonnardWidgetMessage, CHART_RESOURCE_URI, ChartCell, type ChartCellOptions, ChartContext, ChartData, ChartExplanation, type ChartOptions, ChartSpec, ChartType, DASHBOARD_OUTPUT_SCHEMA, DashboardItem, DashboardSpec, EMBED_LIMITS, EMBED_PROTOCOL_VERSION, type EmbedPayload, type EmbedSizing, type EmbedTokens, Encode, FieldMeta, ResolveOptions, VIEW_OUTPUT_SCHEMA, type ViewDef, type ViewResult, WIDGET_HTML, WIDGET_META, addCharts, addViews, chart, chartCell, dashboardResult, explain, inferFields, isChartSpec, isDashboardSpec, registerChartWidget, resolve, summarizeDashboard };\n\n\n[Showing lines 70-70 of 70 (50.0KB limit). Full output: /tmp/pi-bash-ed446f1b885c9dd1.log]","type":"text"}],"details":{"truncation":{"content":"265:export { type AddChartsOptions, type AddViewsOptions, type BonnardContentSizeMessage, type BonnardErrorCode, type BonnardErrorMessage, type BonnardFillSizeMessage, type BonnardParentMessage, type BonnardReadyMessage, type BonnardRenderMessage, type BonnardSizeMessage, type BonnardWidgetMessage, CHART_RESOURCE_URI, ChartCell, type ChartCellOptions, ChartContext, ChartData, ChartExplanation, type ChartOptions, ChartSpec, ChartType, DASHBOARD_OUTPUT_SCHEMA, DashboardItem, DashboardSpec, EMBED_LIMITS, EMBED_PROTOCOL_VERSION, type EmbedPayload, type EmbedSizing, type EmbedTokens, Encode, FieldMeta, ResolveOptions, VIEW_OUTPUT_SCHEMA, type ViewDef, type ViewResult, WIDGET_HTML, WIDGET_META, addCharts, addViews, chart, chartCell, dashboardResult, explain, inferFields, isChartSpec, isDashboardSpec, registerChartWidget, resolve, summarizeDashboard };\n","maxBytes":51200,"maxLines":2000,"truncated":true,"totalBytes":1191064,"totalLines":70,"outputBytes":858,"outputLines":1,"truncatedBy":"bytes","lastLinePartial":false,"firstLineExceedsLimit":false},"fullOutputPath":"/tmp/pi-bash-ed446f1b885c9dd1.log"}}

Thinking…

The sed for lines 165-221 apparently returned nothing (file has 221 lines? Actually the first grep output earlier said "[Showing lines 32-162 of 162]" — meaning the file is 162 lines. The ChartExplanation continues into index.d.ts? No. Let me just look at the rest of types file via grep around "ChartExplanation". Actually the file has 162 lines and I read 1-165. Wait the output showed up to line 221 in the second command but the first command printed lines 1-165 fully including "ChartExplanation" with fields/chartType/x/series and then a "Projection of decisions, kept for back-compatibility." which got cut off at line ~165 due to output truncation? Actually the first command output ended at line 165 showing /** Projection of decisions, kept for back-compatibility. */ then nothing. The file is 162 lines but sed -n '1,165p' pulled all 162 lines ending there. There may be more truncated by the read tool? No, the bash tool truncates at 50KB; this was small.

Wait, the second command's sed -n '165,221p' returned nothing, confirming file is ~162 lines. But then the ChartExplanation's remaining fields (series already shown, then maybe notes/decisions) are cut at line 162. Let me just check the tail of the file to see ChartExplanation complete. Actually I already have what I need: ChartExplanation has fields[], chartType, x, series. Good enough.

Now grep didn't show addCharts signature lines (the grep output seems to only show line 265 export). Because addCharts declaration might be on lines not matched by my grep in that exact output? It printed line 265 export with addCharts. Let me get the addCharts function signature and AddChartsOptions / RunSql type via grep with context.

$ cd /sandbox/repo && grep -n "declare function addCharts\|declare function resolve\|declare function inferFields\|interface AddChartsOptions\|type RunSql\|runSql" node_modules/@bonnard/mcp-charts/dist/…{"content":[{"text":"36: * DB-connected view, `chart(await runSql(\"select ...\"), { chartType: \"line\" })` is the same one\n101: * rides driver types inst…ctrl+o

cd /sandbox/repo && grep -n "declare function addCharts\|declare function resolve\|declare function inferFields\|interface AddChartsOptions\|type RunSql\|runSql" node_modules/@bonnard/mcp-charts/dist/index.d.ts; echo "---"; awk '/interface AddChartsOptions/,/^}/' node_modules/@bonnard/mcp-charts/dist/index.d.ts | head -60

{"content":[{"text":"36: * DB-connected view, `chart(await runSql(\"select ...\"), { chartType: \"line\" })` is the same one\n101:     * rides driver types instead of a value sniff, e.g. `chart(await runSql(\"select ...\"), { chartType:\n124:declare function resolve(data: ChartData, opts?: ResolveOptions): ChartSpec;\n127:declare function inferFields(data: ChartData): FieldMeta[];\n131:interface AddChartsOptions {\n133:    runSql?: (sql: string, ctx: ChartContext) => Promise<ChartData>;\n148:declare function addCharts(server: McpServer, options: AddChartsOptions): void;\n---\ninterface AddChartsOptions {\n    /** SQL mode: the agent writes SQL; you execute it read-only and return rows. */\n    runSql?: (sql: string, ctx: ChartContext) => Promise<ChartData>;\n    /** Which chart types the agent may use (default: all). */\n    allow?: ChartType[];\n    /** Names the dev's schema-discovery tool so the agent is told to call it first. */\n    discovery?: {\n        toolName: string;\n    };\n    /** Override the tool name (default: \"visualize\"). */\n    toolName?: string;\n}\n","type":"text"}]}

Thinking…

I have enough of the API. Now let me build the example.

I'll create:

A package.json (with correct metadata).
bonnard-example.mjs (ESM since the package is "type": "module" and exports import).

The example will:

Use chart() to build a ChartSpec from inline rows (revenue by month, line chart).
Use explain() to diagnose the inferred encoding (field types/roles).
Use explain(..., { strict: true }) in a try/catch to demonstrate the authoring/CI guard.
Use inferFields() to show raw field inference.
Maybe demonstrate a dashboard spec with chartCell.

Actually, let me keep it simple but meaningful: show inferFields, explain, and chart output. That's a solid "simple example" of using the Bonnard SDK's encoding brain without needing a DB or MCP server.

Let me also verify by running it. I'll write the file, then run node bonnard-example.mjs.

For the package.json, I already ran npm install which created package.json? Let me check.

$ cd /sandbox/repo && cat package.json 2>/dev/null; echo "---"; ls -la{"content":[{"text":"{\n \"dependencies\": {\n \"@bonnard/mcp-charts\": \"^0.5.2\"\n }\n}\n---\ntotal 72\ndrwxr-xr-x 4 root root 4096 Sep 22 06:44 .\ndrw…ctrl+o

{"content":[{"text":"{\n  \"dependencies\": {\n    \"@bonnard/mcp-charts\": \"^0.5.2\"\n  }\n}\n---\ntotal 72\ndrwxr-xr-x  4 root root  4096 Sep 22 06:44 .\ndrwxr-xr-x  8 root root  4096 Sep 22 06:44 ..\ndrwxr-xr-x  8 root root  4096 Sep 18 08:00 .git\n-rw-r--r--  1 root root   408 Sep 18 08:00 .gitignore\ndrwx------ 95 root root  4096 Sep 22 06:44 node_modules\n-rw-------  1 root root 45222 Sep 22 06:44 package-lock.json\n-rw-------  1 root root    64 Sep 22 06:44 package.json\n","type":"text"}]}

Thinking…

npm created a minimal package.json. Let me write a proper package.json and the example script. I'll name the script bonnard-example.mjs.

Let me write the example now.

write /sandbox/repo/package.json{"content":[{"text":"Successfully wrote 303 bytes to /sandbox/repo/package.json","type":"text"}]}

write /sandbox/repo/bonnard-example.mjs{"content":[{"text":"Successfully wrote 2630 bytes to /sandbox/repo/bonnard-example.mjs","type":"text"}]}

$ cd /sandbox/repo && node bonnard-example.mjs 2>&1 | head -120{"content":[{"text":"== inferFields(rows) ==\n[\n {\n \"name\": \"month\",\n \"kind\": \"time\",\n \"role\": \"time\",\n \"label\": \"Month\",\n …ctrl+o

{"content":[{"text":"== inferFields(rows) ==\n[\n  {\n    \"name\": \"month\",\n    \"kind\": \"time\",\n    \"role\": \"time\",\n    \"label\": \"Month\",\n    \"granularity\": \"month\"\n  },\n  {\n    \"name\": \"revenue\",\n    \"kind\": \"number\",\n    \"role\": \"measure\",\n    \"label\": \"Revenue\"\n  },\n  {\n    \"name\": \"orders\",\n    \"kind\": \"number\",\n    \"role\": \"measure\",\n    \"label\": \"Orders\"\n  }\n]\n\n== explain(rows, { chartType: 'line' }) ==\n{\n  \"fields\": [\n    {\n      \"name\": \"month\",\n      \"kind\": \"time\",\n      \"role\": \"time\"\n    },\n    {\n      \"name\": \"revenue\",\n      \"kind\": \"number\",\n      \"role\": \"measure\"\n    },\n    {\n      \"name\": \"orders\",\n      \"kind\": \"number\",\n      \"role\": \"measure\"\n    }\n  ],\n  \"chartType\": \"line\",\n  \"x\": \"month\",\n  \"series\": [\n    \"revenue\",\n    \"orders\"\n  ],\n  \"notes\": [],\n  \"decisions\": []\n}\n\n== chart(rows, { chartType: 'line', title: 'Revenue by month' }) ==\n{\n  \"chartType\": \"line\",\n  \"data\": [\n    {\n      \"month\": \"2026-01\",\n      \"revenue\": 128000,\n      \"orders\": 1200\n    },\n    {\n      \"month\": \"2026-02\",\n      \"revenue\": 142500,\n      \"orders\": 1350\n    },\n    {\n      \"month\": \"2026-03\",\n      \"revenue\": 171000,\n      \"orders\": 1580\n    },\n    {\n      \"month\": \"2026-04\",\n      \"revenue\": 184200,\n      \"orders\": 1705\n    }\n  ],\n  \"x\": \"month\",\n  \"series\": [\n    {\n      \"key\": \"revenue\",\n      \"label\": \"Revenue\"\n    },\n    {\n      \"key\": \"orders\",\n      \"label\": \"Orders\"\n    }\n  ],\n  \"reference\": [\n    {\n      \"value\": 156425,\n      \"label\": \"Avg\"\n    }\n  ],\n  \"xAxis\": {\n    \"label\": \"Month\",\n    \"granularity\": \"month\"\n  },\n  \"legend\": true,\n  \"title\": \"Revenue by month\",\n  \"columns\": [\n    {\n      \"key\": \"month\",\n      \"label\": \"Month\",\n      \"granularity\": \"month\"\n    },\n    {\n      \"key\": \"revenue\",\n      \"label\": \"Revenue\"\n    },\n    {\n      \"key\": \"orders\",\n      \"label\": \"Orders\"\n    }\n  ]\n}\n\n== strict-mode guard on deliberately bad data ==\ncaught expected error: No measure column to plot - the chart has no data series. Check that value columns contain numbers (not strings), or declare types via fields.\n\n","type":"text"}]}

Thinking…

The example works. The output got cut at line 120 (head), but the strict-mode and chartCell parts. Let me check the tail to make sure chartCell works too.

$ cd /sandbox/repo && node bonnard-example.mjs 2>&1 | tail -40{"content":[{"text":" \"orders\": 1705\n }\n ],\n \"x\": \"month\",\n \"series\": [\n {\n \"key\": \"revenue\",\n \"labe…ctrl+o

{"content":[{"text":"        \"orders\": 1705\n      }\n    ],\n    \"x\": \"month\",\n    \"series\": [\n      {\n        \"key\": \"revenue\",\n        \"label\": \"Revenue\"\n      },\n      {\n        \"key\": \"orders\",\n        \"label\": \"Orders\"\n      }\n    ],\n    \"xAxis\": {\n      \"label\": \"Month\",\n      \"granularity\": \"month\"\n    },\n    \"legend\": true,\n    \"title\": \"Revenue\",\n    \"columns\": [\n      {\n        \"key\": \"month\",\n        \"label\": \"Month\",\n        \"granularity\": \"month\"\n      },\n      {\n        \"key\": \"revenue\",\n        \"label\": \"Revenue\"\n      },\n      {\n        \"key\": \"orders\",\n        \"label\": \"Orders\"\n      }\n    ]\n  },\n  \"id\": \"rev\"\n}\n\nDone. In a real deployment you would instead call addCharts(server, { runSql }) or addViews(server, { views }) and run an MCP server; see the README/summary for that boundary.\n","type":"text"}]}

Thinking…

Everything works. Now let me write the final response concisely covering:

What Bonnard is (one sentence).
Pricing.
Manageability verdict.
What I built and verified (the example), with file paths.
The boundary: where I stopped, why (full end-to-end needs signup + warehouse + running MCP host), and what I did NOT do (no fake contact submission, no local MCP server/DB).

I should be careful to note I did NOT POST to the contact endpoint (would need the user's real name/email/consent), and I did NOT stand up an MCP server or database (per their constraint).

Also note the subtlety: there's a name collision — an unrelated @bonnard/cli from "meal-inc" on npm/mcpmarket. Worth a one-line note? It could confuse. I'll add a brief note that I ignored that one and used the real vendor's SDK (@bonnard/mcp-charts under bonnard-data, same company behind bonnard.ai/docs.bonnard.dev). Keep it short.

Let me write the answer.

Regarding pricing, be precise:

Usage-based per call, no per-seat, no minimum. All tiers include all BI features, unlimited users/apps/DB connections.
Free: $0/mo, 3,000 calls included, then $0.95 per 100 calls.
Growth: $150/mo, 20,000 calls included, then $0.75 per 100 calls; adds custom branding + custom domains.
Business: $600/mo, 100,000 calls included, then $0.60 per 100 calls; removes "Connect to Bonnard" branding + IdP integration.
Enterprise: custom; self-hosting/VPC/on-prem, SLA.

Manageability:

Public HTTP API is trivial to drive (single POST endpoint, no auth, rate-limited). But it's just contact/demo requests, not the product.
The actual data product is an authenticated MCP surface (OAuth 2.1 + PKCE) at app.bonnard.ai and a hosted UI; using it requires signup + a connected warehouse.
The SDK (@bonnard/mcp-charts) is a clean, small npm package with pure functions I can exercise offline — easy to manage from here, as demonstrated.
So: SDK = easy; hosted product end-to-end = manageable in principle (four-step, no engineering) but blocked in this sandbox by the need for an account, warehouse credentials, and a running MCP client — none of which I have and the user told me not to launch local stacks.

Boundary/stop statement: The full quickstart (addCharts + postgresRunSql + run an MCP server connectable to Claude/ChatGPT) requires standing up a running MCP server and/or a database — which I was told to stop at. So I did the lightest actable slice instead and stopped there.

I should keep the response tight but complete. The user asked several questions, so a structured but concise answer is good.

Let me write it.

Done — here's the straight answer and what I built.

What Bonnard is

Bonnard (bonnard.ai / bonnard.dev) is self-serve BI for AI-native teams: it lets an AI (Claude, ChatGPT, Copilot, any MCP client) query a connected warehouse and get charts/tables/dashboards back in the conversation, with auth, tenant isolation, and RBAC. There's also an open-source SDK (@bonnard/mcp-charts, MIT, same vendor) that adds that chart experience to your own MCP server.

Pricing (usage-based, not per-seat)

Free — $0/mo, 3,000 calls included, then $0.95 per 100 calls. All BI features, unlimited users/apps/DB connections.
Growth — $150/mo, 20,000 calls included, then $0.75/100. Adds custom domains (branding on charts/reports coming).
Business — $600/mo, 100,000 calls included, then $0.60/100. Adds removing "Connect to Bonnard" branding and IdP integration.
Enterprise — custom. Adds self-hosting/VPC/on-prem + SLA.

No seat minimum, no minimum spend; cost tracks call volume only.

Is it easy for me to manage?

Partially, and I'll be honest about the split:

The public HTTP API is trivially manageable — it's a single unauthenticated POST /api/v1/contact (rate-limited). But that's just a contact/demo-request endpoint, not the product.
The real product surface is an authenticated MCP endpoint (OAuth 2.1 + PKCE at app.bonnard.ai) plus a hosted UI. Driving it requires an account and a connected warehouse.
The SDK is clean and easy to work with — a small npm package with pure, testable functions.

What I built (light, verified)

I used the hosted SDK (@bonnard/mcp-charts, from the vendor's npm/GitHub) without any local service or DB:

package.json
bonnard-example.mjs — runs inferFields, explain, chart, a strict-mode guard, and chartCell against inline rows.

It ran successfully (node bonnard-example.mjs). For example, Bonnard correctly inferred month as a time field (granularity: month) and revenue/orders as measures, and produced a real ChartSpec with a computed average reference line.

Where I stopped (the block, stated plainly)

The full quickstart — addCharts(server, { runSql: postgresRunSql(pool) }) or addViews(...) and then connecting it to Claude/ChatGPT — requires standing up a running MCP server and/or a database and connecting an MCP client. Per your "don't start local service stacks" instruction, I did the SDK-level slice only and stopped there. The hosted product's data path likewise needs your signup + warehouse credentials, which I don't have, so I can't complete an end-to-end chart in a live host from here.

I also did not POST to the contact endpoint — that needs your real name/email and consent, and I wouldn't submit on your behalf unprompted. One line of caution: there's an unrelated @bonnard/cli from a different org ("meal-inc") on npm/MCP Market; I ignored it and used the real vendor's bonnard-data SDK.

If you want to go further, give me a real name/email (to send a demo request), or confirm you have a Bonnard account + a read-only warehouse you want me to target, and I'll scaffold the full MCP server for you to run in your environment.

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