MCP Dashboards

Your AI can talk about data. Now it can show it.

The problem

We use AI for everything - analysis, reports, strategy. But when it comes to actually seeing the story in your data, you're stuck copying numbers into a spreadsheet and building charts yourself. The conversation has the insight. The visualization is somewhere else.

The solution

MCP Dashboards renders interactive charts, dashboards, and KPI widgets directly inside your AI conversation. 45+ chart types, 20 themes, live polling, PNG/PPT/A4 export - all from a single MCP server. No browser tabs, no copy-paste, no context switching.

Quick Start

Claude Desktop

Add to your claude_desktop_config.json:

• Windows: %APPDATA%\Claude\claude_desktop_config.json

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "dashboard": {
      "command": "npx",
      "args": ["-y", "mcp-dashboards", "--stdio"]
    }
  }
}

Claude Code / VS Code

claude mcp add dashboard -- npx -y mcp-dashboards --stdio

Remote (Streamable HTTP)

npx mcp-dashboards
# Server starts on http://localhost:3001/mcp

Supported clients

Works in any MCP Apps-compatible client: Claude Desktop, Claude Web, VS Code (GitHub Copilot), Goose, Postman, MCPJam. ChatGPT support is rolling out.

Just ask

No API to learn. Describe what you want in plain English:

• "Compare Q1 vs Q2 revenue by region as a bar chart"

• "Show my portfolio allocation as a donut chart with the boardroom theme"

• "Build a dashboard with monthly sales KPIs and a trend line"

• "Visualize website traffic by country on a world map"

• "Track Bitcoin price live, updating every 30 seconds"

• "Show the conversion funnel from signup to purchase"

• "Rank the team by performance using a radar chart"

The AI picks the right tool, formats your data, and renders the chart inline. Click any data point to ask follow-up questions.

What makes this different

Other MCP chart tools generate static images. MCP Dashboards renders interactive HTML inside your conversation.

Explore your data in-chat

• Hover tooltips on every data point - no guessing values

• Click to select any bar, slice, or point - selections feed back to the AI for follow-up questions

• Drill-down into bar charts with breadcrumb navigation

• Zoom & pan on geo maps, treemaps, and heatmaps - scroll-wheel zoom up to 12x with hi-res re-rendering

• Live polling - real-time charts that auto-update from any API (stock prices, server metrics, crypto)

• KPI sparklines - inline trend mini-charts in dashboard metric cards

Meeting in 5 minutes? Export and go

• PPT slides - one-click download as a 16:9 title slide or background-ready image

• A4 documents - paginated multi-page export with intelligent page breaks that never cut through a chart

• PNG - per-chart screenshots with title and theme baked in

• CSV - raw data export from any table

Ask the AI to build your dashboard. Hit the export dropdown - grab a 16:9 title slide, a background image, or a paginated A4 document. One click, presentation-ready.

20 themes, 900+ combinations

Boardroom gold, neon cyberpunk, forest earth, clinical white. Mix palettes, typography (8 options), and effects (shimmer, neon, glow, glass, lift). Animated gradient titles export correctly to PNG.

45+ chart types across 20 themes = 900+ visual combinations. Every one of them interactive.

Themes

20 built-in themes. Pass theme to any tool.

Mix-and-match with palette, typography (8 options: system, mono, professional, editorial, bold, techno, cyberpunk, luxury), and effects (5 presets: none, subtle, shimmer, neon, energetic).

Live Polling

Real-time charts that auto-update from any API. The live chart polls data via poll_http, which supports two modes:

Secure presets (authenticated APIs)

Configure presets via env vars. Credentials stay server-side and never appear in the conversation.

{
  "mcpServers": {
    "dashboard": {
      "command": "npx",
      "args": ["-y", "mcp-dashboards", "--stdio"],
      "env": {
        "POLL_PRESET_T212_CASH_URL": "https://live.trading212.com/api/v0/equity/account/cash",
        "POLL_PRESET_T212_CASH_HEADERS": "{\"Authorization\": \"Bearer YOUR_API_KEY\"}"
      }
    }
  }
}

Then ask: "Monitor my portfolio total and P/L live" - the AI uses render_live_chart with pollArgs: { preset: "t212_cash" }.

Naming: POLL_PRESET_<NAME>_URL and POLL_PRESET_<NAME>_HEADERS (JSON object).

Public URLs (no auth needed)

For public APIs, use the URL directly:

"Show me Bitcoin price updating every 30 seconds" - uses pollArgs: { url: "https://api.coingecko.com/api/v3/simple/price?ids=bitcoin&vs_currencies=usd" }.

How It Works

Built on MCP Apps. You ask the AI to visualize data, it calls the right tool, and the chart renders inline in your conversation. Self-contained - zero CDN, zero external requests.

Requirements: Node.js 18+ and an MCP Apps-compatible client.

git clone https://github.com/KyuRish/mcp-dashboards.git
cd mcp-dashboards
npm install
npm run build
npm run serve   # http://localhost:3001
npm run dev     # watch mode

Support

If MCP Dashboards is useful to you:

License

FSL-1.1-MIT - Free to use for any purpose except building a competing commercial product. Each version converts to MIT two years after release. For commercial licensing, contact contact@kyuish.com.