#192 · Primary category: AI Coding Assistants

jcodemunch-mcp

ai-coding ast claude claude-code cline code-intelligence codex context-window copilot cursor developer-tools gemini-cli llm mcp mcp-server model-context-protocol opencode token-optimization tree-sitter windsurf

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, Cursor & any MCP client. 313B+ tokens saved.

Project last updated:08/29/26

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55

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Other

Why we included this project

Large codebases make agentic editors waste tokens fast, since tools like Claude Code or Cursor will read whole files just to answer a small question. jCodeMunch sidesteps that by indexing your repository locally with tree-sitter and serving agents only the exact definitions they ask for. The maintainers publish a reproducible benchmark putting the savings at roughly 28x fewer tokens than a grep-and-read agent, and the structural queries are what make it worth using day to day: finding what imports a symbol or checking the blast radius before a change is something native tools rarely do well. It installs as a standard MCP server, so your existing setup stays intact, and indexing runs local-first if you would rather not send code to a hosted service.

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