jCodemunch MCP

jCodemunch MCP is a Model Context Protocol (MCP) server that provides highly efficient, token-sparing source code retrieval for AI agents and code exploration tools. Using tree-sitter AST parsing, it builds a precise, structured index of source code symbols and enables agents to pull only the relevant code segments they need, such as functions, classes, and context bundles, rather than reading entire files. This approach reduces AI token usage dramatically, which cuts operational costs and increases performance for AI-driven code understanding and automation. jCodemunch MCP is suitable for users building or running AI coding agents, IDE extensions, code analysis tools, and infrastructure integrations that require scalable, efficient, structured context fetching from large codebases.