codecity-mcp
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- AlicenseNot gradedqualityDmaintenanceA local, SQLite-backed code index for Claude Code, exposed over MCP, enabling targeted code retrieval without external APIs.107 PyPI1MIT
- AlicenseNot gradedqualityBmaintenanceAn MCP server that indexes local code repositories, extracting symbols and call graphs to give Claude precise, structural answers with real file paths and line numbers. Runs entirely locally with no network requests, for privacy-focused code understanding.290 npmMIT
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- AlicenseBqualityCmaintenanceIndexes a Python/JS/TS repository into a local SQLite knowledge graph so agents can trace callers, callees, imports, subclasses and covering tests, measure impact radius, rank diff risk, and summarize architecture without grepping files. Exposes these queries as MCP tools alongside an equivalent CLI, with no daemon, embeddings, or network access.10MIT
TDQS
Scored across 4 tools
Each tool addresses a distinct aspect of codebase analysis: structure, file summaries, dependency graph, and complexity hotspots. There is no overlap in their purposes, making selection unambiguous.
All tool names follow a consistent get_<noun> pattern, with clear resource names (repo_structure, file_summary, dependency_graph, complexity_hotspots). The naming is uniform and predictable.
With 4 tools, the set is well-scoped for a code analysis server. Each tool covers a core need and none are redundant, making the count appropriate.
The server covers the main exploration workflows: orienting via structure, inspecting files via summaries, understanding dependencies, and identifying complex areas. Missing full file content retrieval is a minor gap since summaries include excerpts.