Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"dashboard": {
"args": [
"-y",
"mcp-dashboards",
"--stdio"
],
"command": "npx"
}
}
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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.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y 'mcp-dashboards' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked mcp-dashboards against OSV.dev.
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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.
MCP Dashboards renders interactive charts, dashboards, and KPI widgets directly inside your AI conversation. 31 tools covering 44+ chart subtypes (bar has stacked/drilldown, hero has 11 variants, etc.), 21 themes, live polling, PNG/PPT/A4 export - all from a single MCP server. No browser tabs, no copy-paste, no context switching.
Add to your claude_desktop_config.json:
%APPDATA%\Claude\claude_desktop_config.json~/Library/Application Support/Claude/claude_desktop_config.json{
"mcpServers": {
"dashboard": {
"command": "npx",
"args": ["-y", "mcp-dashboards", "--stdio"]
}
}
}
claude mcp add dashboard -- npx -y mcp-dashboards --stdio
npx mcp-dashboards
# Server starts on http://localhost:3001/mcp
Works in any MCP Apps-compatible client: Claude Desktop, Claude Web, VS Code (GitHub Copilot), Goose, Postman, MCPJam. ChatGPT support is rolling out.
No API to learn. Describe what you want in plain English:
The AI picks the right tool, formats your data, and renders the chart inline. Click any data point to ask follow-up questions.
Every chart is interactive HTML rendered directly in your conversation: