jgravelle/jdocmunch-mcp
The leading, most token-efficient MCP server for documentation exploration and retrieval via structured section indexing
This helps AI agents navigate technical documentation more efficiently, reducing token usage and improving the quality of their responses. Instead of reading entire files, AI agents can receive specific sections like installation guides or configuration details. This is for developers, operations engineers, or anyone building AI agents that need to accurately and cost-effectively understand complex documentation.
Available on PyPI.
Use this if you are developing AI agents that need to extract precise information from documentation without wasting tokens or getting lost in large context windows.
Not ideal if you don't work with AI agents or if your documentation exploration needs are met by simple keyword searches or whole-file reading.
Stars
90
Forks
22
Language
Python
License
—
Category
Last pushed
Mar 19, 2026
Commits (30d)
0
Dependencies
4
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