jCodemunch MCP

jCodemunch MCP is a Model Context Protocol (MCP) server that enables token-efficient codebase exploration by indexing source code with tree-sitter for precise, structured symbol-level retrieval. It exposes tools for AI agents to perform targeted code queries—such as function/class fetches, dead code detection, call/dependency graphs, and more—instead of brute-force file scanning, achieving over 95% token savings in dense retrieval workflows. jCodemunch MCP seamlessly integrates with Git repositories, supports 25+ programming languages, enables plugin hooks for workflow automation, and serves engineers, AI/ML teams, and developer-facing AI assistants aiming for scalable, accurate, and fast code understanding.