Symbol-level code retrieval for AI agents: fetch the function you need, not the whole file. Runs locally. 94.5% fewer tokens per lookup on average than grep-and-read on our 15-lookup benchmark. Works with Claude Code, Cursor, Codex and any MCP client. Free for non-commercial use; commercial use needs a one-time license.
What is the jgravelle/jcodemunch-mcp GitHub project? Description: "Symbol-level code retrieval for AI agents: fetch the function you need, not the whole file. Runs locally. 94.5% fewer tokens per lookup on average than grep-and-read on our 15-lookup benchmark. Works with Claude Code, Cursor, Codex and any MCP client. Free for non-commercial use; commercial use needs a one-time license.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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