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.

| Task | Traditional approach | With jCodeMunch | | ---------------------- | ------------------------- | ------------------------------------------- | | Find a function | Open and scan large files | Search symbol → fetch exact implementation | | Understand a module | Read broad file regions | Pull only relevant symbols and imports | | Explore repo structure | Traverse file after file | Query outlines, trees, and targeted bundles |

Index once. Query cheaply. Keep moving. Precision context beats brute-force context.

jCodeMunch MCP

Structured code retrieval for serious AI agents