jDocmunch MCP

jDocmunch MCP

Section-level, token-efficient documentation retrieval for AI agents.

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About jDocmunch MCP

jDocmunch MCP is an advanced Model Context Protocol (MCP) server that enables AI agents to perform precise, section-level search and retrieval across diverse documentation formats (Markdown, reStructuredText, AsciiDoc, Jupyter Notebooks, HTML, YAML, JSON, and OpenAPI specs). Instead of forcing AI to process entire files, jDocmunch indexes docs by heading hierarchy and structure, allowing agents to request only the relevant section—boosting token efficiency and reducing noise. It is well-suited for AI assistants, code editors, developer tools, and technical teams requiring rapid, structured, and cost-effective documentation access within their AI workflows.

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