by jgravelle · MCP Server · ★ 1.8k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Quickstart - https://github.com/jgravelle/jcodemunch-mcp/blob/main/QUICKSTART.md FREE FOR PERSONAL USE Use it to make money, and Uncle J. gets a taste. Fair enough? details Cut code-reading token usage by 95% or more Most AI agents explore repositories the expensive way: open entire files → skim thousands of irrelevant lines → repeat. That is not “a little inefficient.” That is a token incinerator. jCodeMunch indexes a codebase once and lets agents retrieve only the exact code they need: functions, classes, methods, constants, outlines, and tightly scoped context bundles, with byte-level precision. In retrieval-heavy workflows, that routinely cuts code-reading token usage by 95%+ because the agent stops brute-reading giant files just to find one useful implementation. Index once. Query cheaply. Keep moving. Precision context beats brute-force context. jCodeMunch MCP Structured code retrieval for serio
| Stars | 1,758 |
| Forks | 286 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 51.32/100 |
| Last Updated | 2026-05-04 |
| Created | 2026-02-09 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~445k |
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jcodemunch-mcp is The leading, most token-efficient MCP server for GitHub source code exploration via tree-sitter AST parsing. It is categorized as a MCP Server with 1.8k GitHub stars.
jcodemunch-mcp is primarily written in Python. It covers topics such as claude, claude-code, serena.
You can find installation instructions and usage details in the jcodemunch-mcp GitHub repository at github.com/jgravelle/jcodemunch-mcp. The project has 1.8k stars and 286 forks, indicating an active community.
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