chartpane
Allows rendering interactive Chart.js charts of various types (bar, line, pie, doughnut, polarArea, bubble, scatter, radar, stacked) and multi-chart dashboards inline in supported clients.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@chartpaneCreate a bar chart of quarterly revenue: Q1 $50k, Q2 $80k, Q3 $120k, Q4 $95k"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
ChartPane
MCP App that renders interactive Chart.js charts inline in Claude's UI. Works with Claude Desktop, ChatGPT, VS Code, Cursor, and any client that supports MCP Apps.
Live instance: mcp.chartpane.com
Features
9 chart types: bar, line, area, pie, doughnut, polarArea, bubble, scatter, radar
Stacked and horizontal bar chart variants
Multi-chart dashboard grids (up to 4 columns)
Custom colors or automatic 12-color palette
Client-side rendering — chart data never stored server-side
Works with any MCP-compatible client (Claude Desktop, ChatGPT, VS Code, Cursor)
Related MCP server: QuickChart MCP Server
Tools
render_chart— Render a single chart (bar, line, area, pie, doughnut, polarArea, bubble, scatter, radar, stacked)render_dashboard— Render a multi-chart grid layout
Quick Start
Add ChartPane to Claude Desktop via Settings > Connectors > Add custom connector:
https://mcp.chartpane.com/mcpOr use mcp-remote (requires Node.js):
{
"mcpServers": {
"chartpane": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://mcp.chartpane.com/mcp"]
}
}
}Usage Examples
1. Bar chart
Prompt: "Create a bar chart of quarterly revenue: Q1 $50k, Q2 $80k, Q3 $120k, Q4 $95k"
Claude calls render_chart with:
{
"type": "bar",
"title": "Quarterly Revenue",
"data": {
"labels": ["Q1", "Q2", "Q3", "Q4"],
"datasets": [{ "label": "Revenue ($k)", "data": [50, 80, 120, 95] }]
}
}An interactive bar chart renders inline in the conversation.
2. Pie chart
Prompt: "Show browser market share as a pie chart: Chrome 65%, Safari 19%, Firefox 8%, Edge 5%, Other 3%"
Claude calls render_chart with:
{
"type": "pie",
"title": "Browser Market Share",
"data": {
"labels": ["Chrome", "Safari", "Firefox", "Edge", "Other"],
"datasets": [{ "label": "Share", "data": [65, 19, 8, 5, 3] }]
}
}Each slice gets a distinct color from the built-in palette.
3. Multi-chart dashboard
Prompt: "Build a dashboard with monthly active users as a line chart and signups by channel as a bar chart"
Claude calls render_dashboard with:
{
"title": "Growth Dashboard",
"charts": [
{
"type": "line",
"title": "Monthly Active Users",
"data": {
"labels": ["Jan", "Feb", "Mar", "Apr", "May", "Jun"],
"datasets": [{ "label": "MAU", "data": [12000, 15000, 18000, 22000, 28000, 35000] }]
}
},
{
"type": "bar",
"title": "Signups by Channel",
"data": {
"labels": ["Organic", "Referral", "Paid", "Social"],
"datasets": [{ "label": "Signups", "data": [4500, 3200, 2800, 1500] }]
}
}
],
"columns": 2
}Both charts render side-by-side in a grid layout.
Self-Hosting
ChartPane runs on Cloudflare Workers.
npm install
cp .dev.vars.example .dev.vars # Configure secrets (optional)
npm run dev # Local dev server (port 8787 + sandbox on 3456)
npm run deploy # Deploy to Cloudflare WorkersYou'll need to create your own KV namespace and D1 database — see comments in wrangler.jsonc.
Development
npm run dev # wrangler dev + sandbox dev server (localhost:3456)
npm run build # Type-check (tsc --noEmit) + bundle UI
npm test # Run all tests (vitest)
npm run test:watch # Watch modeArchitecture
Claude tool calls flow through a thin MCP server that validates input and returns structuredContent. The browser-side UI transforms input into Chart.js configs and renders to canvas. All shared logic (types, validation, colors, config) lives in shared/.
Claude tool call → server.ts (validate) → structuredContent
→ mcp-app.ts (browser) → buildChartConfig() → Chart.js canvasPrivacy
ChartPane logs only request metadata (chart type, title, timestamp). Chart data values are never stored. Charts render entirely client-side in your browser. Full policy: chartpane.com/privacy
Support
GitHub Issues: github.com/ahmadnassri/chartpane/issues
Email: support@chartpane.com
License
MIT
This server cannot be installed
Maintenance
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