jdocmunch-mcp

by jgravelle · Python · ★ 154

The leading, most token-efficient MCP server for documentation exploration and retrieval via structured section indexing

#claude#claude-code#docs#documentation#llm#markdown#mcp#mcp-server#token-efficient

Install

pip install git+https://github.com/jgravelle/jdocmunch-mcp.git

Claude Desktop config

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "jdocmunch-mcp": {
      "command": "uvx",
      "args": [
        "git+https://github.com/jgravelle/jdocmunch-mcp.git"
      ]
    }
  }
}

From the README

Most AI agents still explore documentation the expensive way: open file → skim hundreds of irrelevant paragraphs → open another file → repeat That burns tokens, floods context windows with noise, and forces models to reason through a lot of text they never needed in the first place. **jDocMunch-MCP lets AI agents navigate documentation by section instead of reading files by brute force.** It indexes a documentation set once, then retrieves exactly the section the agent actually needs, with byte-precise extraction from the original file. | Task | Traditional approach | With jDocMunch | |…

Read full README on GitHub →

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