jdatamunch-mcp

by jgravelle · Productivity · ★ 82

jdatamunch-mcp is an MCP server by jgravelle. Token-efficient MCP server for tabular data retrieval. Index CSV/Excel files, query rows, aggregate — 99%+ token savings vs raw file reads. It has 82 GitHub stars and ranks #260 of 1809 in Productivity by stars.

Category: Productivity
Author: jgravelle
GitHub stars: 82
This week: Tracking since 18 Oct 2026
Language: Python
License: Other
Last update: 2026-10-21 (3 days ago)
Links: Source PyPI

claude
claude-code
codex
copilot
csv
cursor
data-analysis
data-exploration
developer-tools
excel
gemini-cli
llm
+8 more

How to install jdatamunch-mcp

jdatamunch-mcp is published on PyPI as jdatamunch-mcp, and it is listed in the official MCP Registry. These steps assume it runs as a local stdio server, which is the usual setup.

Check the README. Confirm the start command and note any API keys or environment variables it needs (pass them with -e KEY=value or an env block). You need uv for uvx.

Add it to Claude Code from a terminal:

claude mcp add jdatamunch-mcp -- uvx jdatamunch-mcp

Or add it to Cursor or Claude Desktop in .cursor/mcp.json or claude_desktop_config.json:

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

Restart the client and check it. Run claude mcp list, or open the client's MCP settings, and confirm jdatamunch-mcp and its tools are listed. The install guide covers VS Code and Codex.

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Frequently asked questions

What is jdatamunch-mcp?

jdatamunch-mcp is an MCP server by jgravelle in the Productivity category. Token-efficient MCP server for tabular data retrieval. Index CSV/Excel files, query rows, aggregate — 99%+ token savings vs raw file reads. It has 82 GitHub stars and ranks #260 of 1809 in Productivity by stars. It is written in Python. It is licensed under Other. It was last updated 3 days ago.

Is jdatamunch-mcp free and open source?

jdatamunch-mcp lists its license as Other. Read the license text in the repository before using it in a commercial product, and check whether the service it connects to charges for API access.

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