dotplot-mcp

brownglasses/dotplot-mcp

★ 1 stars Python Data/Analytics Updated 3d ago

See individual users, not aggregate charts — YC's Dot Plot methodology as an MCP server

View on GitHub → 🔍 Audit Wallet Slippage →

Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "dotplot-mcp": {
      "command": "uvx",
      "args": [
        "dotplot-mcp"
      ]
    }
  }
}

Or install with pip: pip install dotplot-mcp

README Excerpt

> See individual users, not aggregate charts. **English** | [한국어](README.ko.md) DAU/MAU charts trend "up and to the right" as long as new users arrive — even when nobody sticks. This MCP server implements (David Lieb): until you have hundreds of users, the most informative dashboard is **one row per user, one cell per day**.

Tools (13)

audit_trackingclassify_userscompare_benchmarkdescribe_eventsdot_plotfind_aha_momentsgenerate_reporthistory_compareload_from_dbonboarding_funnelpublish_reportretention_curvesubmit_benchmark

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dotplot-mcp

Quick Install

README Excerpt

Tools (13)

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