jgravelle

jCodeMunch MCP

Community jgravelle
Updated

The leading, most token-efficient MCP server for GitHub source code exploration via tree-sitter AST parsing

jCodeMunch MCP

Precision Code Intelligence for the Agent Era

BuildLicenseMCPPython

Stop loading files. Start navigating symbols.

jCodeMunch MCP converts any local repository into a semantic navigation engine that AI agents can query with surgical precision. Designed specifically for the MCP / OpenClaw / Claude Desktop ecosystem, it enables autonomous agents to explore large codebases efficiently, reducing token consumption and dramatically improving reasoning quality.

Why Agents Need This

Modern AI agents waste tokens brute‑forcing file reads. jCodeMunch changes the paradigm:

  • Symbol‑first discovery instead of file scanning
  • Deterministic structural retrieval
  • Massive context cost reduction
  • Near‑instant semantic navigation
  • Local‑first indexing — no vendor lock‑in

Agents don’t need more context. They need better context access.

Architecture Overview

Architecture Diagram

Pipeline

  1. Parse source with structural parsers
  2. Extract symbols and metadata
  3. Build persistent local index
  4. Serve MCP tools for discovery
  5. Retrieve exact source fragments via byte‑offset precision

Quickstart

git clone https://github.com/jgravelle/jcodemunch-mcp
cd jcodemunch-mcp
pip install -r requirements.txt

Configure your MCP client to launch the server and point it to your local repository.

Quickstart Demo

Quickstart Demo

See how an agent searches, discovers, and retrieves implementations in seconds using structured queries.

Benchmarks

Benchmark

Workflow Tokens
Raw file loading ~3600
jCodeMunch retrieval ~689

Typical discovery tasks show ~5× token efficiency improvement and significantly lower latency.

Tool Suite

Tool Purpose
index_repo Index a repository
search_symbols Discover symbols
get_file_outline Retrieve file structure
get_symbol Fetch exact implementation

Ecosystem Integration

Designed for:

  • Claude Desktop MCP servers
  • OpenClaw agent orchestration
  • Autonomous engineering pipelines
  • Multi‑agent development systems

jCodeMunch provides the semantic navigation layer agents need to operate reliably at scale.

Vision

Parse once. Retrieve precisely. Reason structurally.

jCodeMunch is building the foundational intelligence layer for the next generation of AI‑driven software engineering.

License

MIT

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