jgravelle/jcodemunch-mcp

Health v2 · maintenance only

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Adoption not part of the score

2624 stars · 357 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

jCodeMunch is an MCP server that indexes codebases with tree-sitter AST parsing and serves symbol-level code retrieval to AI agents, cutting token usage by 86-99% versus reading whole files. It works with Claude Code, Cursor, and any MCP-compatible client, storing structured symbol metadata in a local index for byte-precise fetches.

Use cases

• reduce AI token costs when exploring large codebases
• let Claude Code or Cursor fetch exact function implementations instead of whole files
• index a repository once and query symbols with byte-level precision
• give AI coding agents scoped context bundles of functions, classes, and imports
• stop burning the LLM context window on irrelevant code lines

When to choose

• your AI agents spend heavily on reading entire source files
• you use MCP-compatible tools like Claude Code, Cursor, or Windsurf and want precise code retrieval
• you want a local-first code index supporting 70+ languages via tree-sitter

When to avoid

• you need a fully open-source tool for commercial use without a paid license (dual-use licensing, commercial tiers from $99)
• you only occasionally explore small repos where token savings are negligible
• you require a hosted service rather than a local index

Facets

service · maturity active

mcp search-engine parser developer-tools developer-tools large-language-models apis python cli cross-platform self-hosted mcp-server tree-sitter code-retrieval token-optimization ast-parsing context-window code-intelligence claude-code cursor ai-agents

Member repositories

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