{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/14"},{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/8"},{"label":"Quality Assurance","url":"https://skillfed.io/packages/category/software-development-quality-assurance/3"}],"enrichment":{"capability":"An MCP server that retrieves precise source code symbols and context from a codebase using tree-sitter AST parsing, designed to reduce token consumption in AI agent interactions.","skillfed_tags":["mcp-server","token-optimization","code-intelligence"],"use_cases":["Reduce token costs for AI agents exploring large codebases by serving only the exact functions or classes they need instead of entire files.","Enable structural code queries (find_importers, get_blast_radius, get_class_hierarchy) that grep and file-reading cannot answer without scripting.","Speed up AI-assisted code review, refactoring, and debugging by cutting context window waste and improving agent success rates.","Integrate code intelligence into Cursor, Claude Code, or Windsurf workflows to make agents navigate repositories more efficiently.","Audit and optimize token usage in existing AI agent deployments by comparing session stats before and after jCodeMunch indexing."],"what_it_does":"jCodeMunch-MCP is an MCP (Model Context Protocol) server that indexes a codebase once using tree-sitter, then serves precise code symbols and context on demand to AI agents. Instead of agents re-reading entire files repeatedly, it stores structured metadata (function signatures, class definitions, byte offsets) and returns only the exact code needed\u2014functions, classes, methods, constants, or targeted context bundles. The server works with Claude Code, Cursor, Windsurf, Continue, and other MCP-compatible clients.\n\nThe package aims to cut AI token consumption by retrieving only relevant code fragments instead of forcing agents through brute-force file reading. It includes tools like search_symbols, get_symbol_source, get_blast_radius, and find_importers for structural queries native tools cannot answer. The description reports production results showing improved success rates and reduced timeout rates compared to native tools.","worth_installing":"Yes, if you use AI agents (Claude Code, Cursor, Windsurf, Continue) for code exploration and want to cut token costs. Install is low-friction, maintenance is active, and no security vulnerabilities are known. Caveat: the license is proprietary and free only for non-commercial use; commercial deployment requires a paid license ($79\u2013$1,999). If you are using it within a for-profit organization, verify your use case against the license terms before committing."},"id":"jcodemunch-mcp","links":{"html":"https://skillfed.io/packages/jcodemunch-mcp","md":"https://skillfed.io/packages/jcodemunch-mcp.md","pypi":"https://pypi.org/project/jcodemunch-mcp/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-14","license_spdx":null,"license_treatment":"unclear","name":"jcodemunch-mcp","python_support":"supports_current","summary":"Token-efficient MCP server for source code exploration via tree-sitter AST parsing"},"popularity":{"monthly_downloads":178963,"position":10182,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.108.279"}