Jcodemunch Mcp
Cut AI token costs 95%+ on code exploration. The leading MCP server for precise, symbol-level GitHub code retrieval via tree-sitter AST. Works with Claude Code,…
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No install snippet on purpose. A working MCP config is a command, its arguments and an environment block — the last two are where API keys live, so this catalogue never stores them and cannot publish them. Follow the link above for the authors' own instructions.
jCodeMunch reduces the number of tokens needed for reading code by up to 95% or more. It integrates with multiple AI coding tools and any MCP-compatible client. A pre-built symbol index allows the MCP server to answer code queries in milliseconds with surgical precision.
It serves anyone whose AI agents read code, from solo developers to platform teams managing token budgets across entire organizations. It comes with a guarantee that if it does not pay for itself, the user does not pay. It conforms to an open retrieval standard called jMRI v1.0, which is an Apache-2.0 spec for token-efficient retrieval.
Summary drafted from the project's own website. Every sentence is backed by text on that page and was reviewed before publishing.