jDocmunch MCP

jDocMunch-MCP is an open-source MCP server designed to make AI agent documentation retrieval highly efficient and cost-effective by indexing docs structurally and enabling section-by-section access. Instead of brute-force loading entire documents, it allows agents to retrieve only the relevant section(s), saving tokens, time, and improving context precision. Ideal for developers and teams building or operating autonomous agents that need reliable documentation lookup capabilities, particularly in environments where token efficiency and context cleanliness are priorities.