io.github.KyuRish/mcp-dashboards MCP Server

MCP Dashboards

<!-- mcp-name: io.github.KyuRish/mcp-dashboards -->

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

<p align="center"> <img src="assets/demo.gif" width="400" alt="MCP Dashboards demo" /> <br> <a href="assets/dashboard-example.png"><img src="assets/dashboard-example.png" width="115" height="220" alt="Infrastructure Command Center dashboard" /></a>&nbsp; <a href="assets/chart-catalog.png"><img src="assets/chart-catalog.png" width="115" height="220" alt="Chart Catalog - 32 chart tools" /></a>&nbsp; <a href="assets/theme-catalog.png"><img src="assets/theme-catalog.png" width="115" height="220" alt="Theme Catalog - 21 themes" /></a> <br>_{Click any thumbnail to see full size} </p>

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. 32 chart tools covering 45+ chart subtypes (bar has stacked/drilldown, hero has 11 variants, flowchart has 6 node kinds + 5 edge styles, etc.), 21 themes, 4 visual discovery catalogs, live polling, PNG/PPT/A4 export - all from a single MCP server. No browser tabs, no copy-paste, no context switching.

Works in

Client	Interactive in-chat rendering	How
Claude Desktop	Yes (MCP Apps)	stdio config below
claude.ai (web)	Yes (MCP Apps)	remote connector
ChatGPT	Yes (MCP Apps)	remote server via Developer mode (Settings → Apps → Advanced)
VS Code GitHub Copilot	Yes (MCP Apps)	stdio config
Goose / Postman / MCPJam	Yes (MCP Apps)	stdio or remote
Claude Code (CLI)	Tools + browser preview fallback	claude mcp add below; charts open in a local browser tab

ChatGPT and claude.ai need a remotely hosted endpoint (Streamable HTTP mode below); the desktop clients spawn the server locally.

[!IMPORTANT] The only official npm package is mcp-dashboards, published from this repository. Similarly named packages are not ours: mcp-dashboards-shared was malware (see OSSF advisory MAL-2026-4296, removed by npm security in May 2026). Install only mcp-dashboards.

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://127.0.0.1:3001/mcp

Bound to localhost by default. See Configuration if you need to expose it on your network or allow browser access from a non-localhost origin.

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"
• "Diagram my multi-agent pipeline as a flowchart and let me step through it"

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

Don't know where to start? Ask "show me the catalog" - opens a master dashboard with one live visual tile per customization dimension (a real bar chart for charts, a pie for themes, a progress ring for hero variants, a neon-glowing card for effects). Click any tile, hit Ask, and you'll drill into that sub-catalog.

Interactive charts, not images

Every chart is interactive HTML rendered directly in your conversation:

• Explore in-chat - hover tooltips, click-to-select (feeds back to the AI), drill-down with breadcrumbs, scroll-zoom up to 12x on maps and heatmaps
• Editable flowcharts - drag nodes, multi-select, rename via right-click, minimap + node list to navigate, step-through playback of the flow, then sync your layout back to the AI to save it
• Live polling - real-time charts that auto-update from any API on a timer
• Export anywhere - PPT (16:9 slides), A4 (paginated with smart page breaks), PNG, CSV

<details> <summary><strong>All Tools</strong></summary>

Tool	Type	Best For
render_pie_chart	Pie/Donut	Composition - "what makes up the whole?"
render_bar_chart	Bar	Comparison - vertical, horizontal, stacked, drill-down
render_line_chart	Line/Area	Trends - smooth curves, gradient fills, time series
render_scatter_chart	Scatter	Relationships - per-point labels, annotations, quadrants
render_candlestick_chart	Candlestick	Finance - OHLC data with volume bars
render_radar_chart	Radar	Multi-axis comparison - skills, scores, product attributes
render_treemap_chart	Treemap	Hierarchy - nested rectangles sized by value
render_sankey_chart	Sankey	Flow - money, users, or resources between stages
render_wordcloud_chart	Word Cloud	Frequency - sized words from text analysis
render_boxplot_chart	Boxplot/Violin	Distribution - quartiles, outliers, density shapes
render_live_chart	Live	Real-time - auto-polls any MCP tool on a timer
poll_http	Data proxy	Fetch JSON from any HTTP endpoint - secure presets or public URLs
render_bullet_chart	Bullet	KPI vs target - 2-8 zone bands with labels
render_lollipop_chart	Lollipop	Ranking - clean dots with optional target markers
render_dumbbell_chart	Dumbbell	Gaps - before/after with scale labels and zone bands
render_variance_chart	Variance	Budget - actual vs budget, color-coded over/under
render_funnel_chart	Funnel	Conversion - staged drop-off with percentages
render_slope_chart	Slope	Change - ranking shifts between two periods
render_waffle_chart	Waffle	Proportion - 10x10 grid showing composition
render_sparkline_chart	Sparkline	Compact trends - mini cards with change indicators
render_radial_cluster	Radial	Health check - multi-metric ring gauges with status
render_waterfall_chart	Waterfall	Cumulative - cascading bars showing impact
render_heatmap_chart	Heatmap	Intensity - 2D grid with color mapping
render_geo_chart	Geo/Map	Geography - color-coded countries by value (choropleth)
render_bubble_map	Bubble Map	Pin map - sized circles at lat/lng coordinates
render_timeline_chart	Timeline	Progress - milestone tracker with status indicators
render_flowchart	Flowchart	Workflows, pipelines, architectures, agent flows - rich card-based DAG with status states, drag, zoom, live polling
render_hero_metric	Hero	KPI widgets - 11 variants (progress ring, gem, orb, NPS, etc.)
render_dashboard	Dashboard	Everything - KPI cards + multiple charts in responsive grid
render_table	Table	Data - sortable columns, striped rows, CSV export
render_from_json	Auto-detect	Any JSON data - picks the best chart automatically
render_from_url	URL fetch	Fetches JSON from a URL and auto-visualizes

Discovery / Catalogs - visual entry points for browsing what's available:

Tool	Shows	When to use
render_catalog	Master catalog with 4 live preview tiles	Don't know where to start. Click any tile, hit Ask, drill in.
render_chart_catalog	All 32 chart types with mini previews	Looking for the right chart for your data
render_theme_catalog	All 21 themes with color/typography/effects	Picking a theme
render_hero_catalog	All 11 hero metric variants	Picking a KPI widget style
render_effects_catalog	All 5 effect presets, each applied to a real card	Picking an animation/glow style

Typography is still configurable on every chart via typography=<name> (8 options listed under Themes) - it just doesn't have its own catalog because all 8 options were visually identical without per-card font loading, which wasn't worth the build for one preview tool.

</details> <details> <summary><strong>Which chart should I use?</strong></summary>

Question	Best Chart	Also Works
"What makes up the whole?"	Pie/Waffle	Treemap, Stacked bar
"How do values compare?"	Bar	Lollipop, Bullet, Radar
"What's the trend over time?"	Line	Sparkline, Slope
"Are we hitting targets?"	Bullet	Variance, Radial
"Where's the gap?"	Dumbbell	Variance
"How does X relate to Y?"	Scatter	Heatmap
"What's the conversion rate?"	Funnel	Waterfall, Sankey
"What changed between periods?"	Slope	Dumbbell
"What's the financial picture?"	Candlestick	Line
"Show me the KPI"	Hero metric	Dashboard
"What's the distribution?"	Boxplot	Violin (same tool)
"Where does money/traffic flow?"	Sankey	Treemap
"How do options score across axes?"	Radar	Heatmap
"What are the top keywords?"	Word Cloud	Bar, Treemap
"Where are users/sales/revenue?"	Geo map	Bubble map, Heatmap
"Monitor this in real-time"	Live chart	-

</details>

Themes

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

Family	Themes
Classic	boardroom, corporate, sales-floor, golden-treasury, clinical, startup, ops-control, tokyo-midnight, zen-garden, consultant
Black/AI	black-tron (cyan neon), black-elegance (warm gold), black-matrix (green hacker)
Forest	forest-amber (autumn), forest-earth (terracotta)
Sky	sky-light (airy blue), sky-ocean (deep navy), sky-twilight (sunset)
Office	office-red (corporate red, white bg - report-ready)
Gray/ML	gray-hf (warm yellow accent), gray-copilot (teal on dark)

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.

MCP Apps supported (inline rendering): Claude Desktop, VS Code Insiders + MCP Apps extension, Goose, Postman.

No MCP Apps support? No problem. Every chart response also includes a clickable link to the same interactive chart in your browser:

• http://localhost:PORT/chart/{id} - the clickable link in chat. Backed by a tiny same-machine HTTP server bound to 127.0.0.1, lazy-started on the first preview request.
• file:///.../chart-{id}.html - the persistent shareable artifact. Same HTML bytes, written to disk so you can email, archive, or open it after the server has shut down.

Why both: Claude Code (VS Code) strips file://, vscode://, and command:// URL schemes from chat markdown, so only http:// produces a working clickable link. The file:// path is provided for sharing and offline viewing. Tool annotations (readOnlyHint, idempotentHint, openWorldHint) help clients reason about tool behavior.

Configuration

All optional. Defaults are safe - set these only if you need to override.

Env var	Default	What it does
MCP_DASHBOARDS_RETAIN_DAYS	7	How long to keep chart preview HTML files on disk. 0 disables auto-cleanup.
MCP_DASHBOARDS_DISABLE_PREVIEW	unset	Kill switch - no HTML files written, no preview server started, no preview links. Inline rendering still works in MCP Apps clients.
MCP_HTTP_BIND_HOST	127.0.0.1	HTTP-transport bind host. Stays on localhost by default. Set to 0.0.0.0 only if you trust your network.
MCP_CORS_ALLOWED_ORIGINS	localhost only	Comma-separated origins allowed to call the HTTP endpoint from a browser. Set this to add a non-localhost origin (e.g. https://your-app.com).
MCP_URL_ALLOWLIST	empty	Comma-separated hostnames that bypass the SSRF guard for render_from_url / poll_http. Use only for internal endpoints you fully trust.
MCP_OUTBOUND_RATE_PER_SEC	10	Per-host throttle for outbound HTTP calls.
MCP_OUTBOUND_BURST	20	How many initial requests can fire immediately before the rate kicks in.
POLL_PRESET_<NAME>_URL	-	Server-side preset URL for live polling. See Live Polling.
POLL_PRESET_<NAME>_HEADERS	-	Auth headers (JSON object) for the matching preset URL.

What's on disk

Chart HTML files are written to <system temp>/mcp-dashboards/ and auto-deleted after 7 days. The chart's built-in download button (PNG / PPT / A4) is the recommended way to save anything permanently.

Ask your AI to "list chart files" or "delete chart files older than 1 day" anytime - invokes list_chart_files / delete_chart_files.

Requirements: Node.js 18+.

<details> <summary><strong>Contributing</strong></summary>

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

</details>

Support

If MCP Dashboards is useful to you:

Built by Rishabh Dogra - connect on LinkedIn.

Privacy

All processing happens locally. No data is collected, transmitted, or stored externally.

External calls only happen when you explicitly ask - render_from_url and poll_http need a URL or preset you provide. Both refuse to fetch private, loopback, or link-local addresses (your 192.168.* network, AWS metadata at 169.254.169.254, etc.) so a prompt-injected AI can't quietly reach internal services. They also throttle per hostname so a runaway loop won't get your IP banned from a real API.

Credentials in env var presets never leave your machine. The browser preview server and the optional HTTP transport both bind to 127.0.0.1 by default and are not reachable from other devices. Chart HTML files live in your system temp folder and auto-delete after 7 days. See Configuration to change any of this.

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.

Third-party software

The bundled UI artifact (dist/mcp-app.html) embeds open-source libraries from the Chart.js, html2canvas-pro, Luxon, TopoJSON, and Dagre projects, distributed under MIT or ISC licenses. Full attribution and license texts are reproduced in THIRD_PARTY_LICENSES.md.