data-visualizationdashboardschartsmcpanalytics
Render interactive charts, dashboards, KPI widgets, live data views, and exports directly in MCP-compatible AI clients.
Quick Install
Automated & IDE SetupCopy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
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Manual Client & Custom JSON ConfigExpand JSON ▾
Client Config & Setup
Choose your client or environment
Target File:
💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Overview
Use cases
Compare revenue across regions with bar charts
Build KPI dashboards from sales data
Track API-backed metrics with live polling
Explore geographic values on maps
Export visual reports to PNG or PowerPoint
Key features
Render 32 chart tools covering 45+ chart subtypes
Create responsive dashboards with KPI cards
Poll MCP tools or HTTP endpoints for live data
Support drill-down, selection, zoom, and editable flowcharts
Export charts and tables to PNG, PPT, A4, or CSV
Browse visual chart, theme, hero, and effects catalogs
Capabilities & Tool Schemas
Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Dashboards.
Extracted Tool Capabilities
Render 32 chart tools covering 45+ chart subtypes
Create responsive dashboards with KPI cards
Poll MCP tools or HTTP endpoints for live data
Support drill-down, selection, zoom, and editable flowcharts
Export charts and tables to PNG, PPT, A4, or CSV
Browse visual chart, theme, hero, and effects catalogs
How MCP Dashboards works
What KyuRish/mcp-dashboards MCP server does
KyuRish/mcp-dashboards MCP server adds interactive data visualization to MCP-compatible AI conversations. It can render individual charts, multi-panel dashboards, KPI cards, sortable tables, and flowcharts as HTML views rather than static images. The available visualizations cover comparisons, trends, distributions, finance, geography, hierarchies, flows, rankings, proportions, timelines, and other common analytical tasks.
The server includes 32 chart-oriented tools covering more than 45 chart subtypes. It also provides catalogs for browsing chart types, themes, hero metric variants, and visual effects. An agent can select a specific renderer, use automatic JSON detection, or fetch JSON from a URL and choose a visualization.
How it works
An MCP client sends a request describing the data and the desired result. The AI can select the appropriate rendering tool and return an interactive HTML visualization in the conversation. Users can hover for tooltips, select data points to provide context back to the AI, drill into supported charts with breadcrumbs, and zoom maps or heatmaps.
Flowcharts support editing actions such as dragging nodes, multi-select, renaming, minimap navigation, and step-through playback. Layout changes can be synchronized back to the AI. Live charts can poll an MCP tool on a timer, while the poll_http tool can retrieve JSON from public URLs or configured secure presets.
KyuRish/mcp-dashboards MCP server supports local stdio operation and Streamable HTTP operation. The documented HTTP startup command exposes the MCP endpoint at http://127.0.0.1:3001/mcp by default.
Setup and configuration
The official npm package is mcp-dashboards. For Claude Desktop, add a server entry that runs npx -y mcp-dashboards --stdio. Claude Code and VS Code can use the equivalent claude mcp add dashboard -- npx -y mcp-dashboards --stdio command.
The README lists Claude Desktop, Claude Web, VS Code with GitHub Copilot, Goose, Postman, and MCPJam as supported MCP Apps-compatible clients. ChatGPT support is described as rolling out. The HTTP mode binds to localhost by default; network exposure or browser access from another origin requires additional configuration described by the project.
Tools and capabilities
KyuRish/mcp-dashboards MCP server includes renderers for pie, bar, line, scatter, candlestick, radar, treemap, Sankey, word cloud, boxplot, bullet, funnel, slope, waffle, heatmap, geographic, bubble map, timeline, flowchart, hero metric, dashboard, and table views. Other tools cover radial clusters, waterfalls, sparklines, lollipop, dumbbell, variance, and live charts.
Charts can use 21 themes and configurable typography. Dashboards combine KPI cards and multiple charts in a responsive grid. Exports include PNG, PowerPoint in 16:9 format, paginated A4 output, and CSV where supported.
Limitations and notes
The server requires an MCP Apps-compatible client for its inline interactive views. The documented default HTTP address is localhost, so it is not automatically a network-accessible service. Live polling and URL-based visualization depend on the availability and shape of the requested data source. The project identifies mcp-dashboards as its official npm package; similarly named packages should not be substituted.
Related MCP Servers
Adoption & maintenance
Factual signals from GitHub, npm, and our automated checks — not a rating.
GitHub stars
44
Stargazers on the source repository.
npm downloads
927
Package downloads in the last 30 days.
Last commit
20d ago
Most recent push to the default branch.
Directory activity
5 views
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CategoryData Visualization
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Scanned 17d ago via OSV.dev · mcp-dashboards (npm)
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