code_nav MCP
Related Servers
Alternatives to code_nav MCP
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceAgent-safe code retrieval MCP server that indexes repositories and provides semantic search, file navigation, call graph analysis, and bounded file reading tools for coding agents.2,731,155 npm3AGPL 3.0
- AlicenseNot gradedqualityAmaintenanceLocal-first code intelligence MCP server that enables coding agents to search code, inspect structure, read exact ranges, and explore Git history with explicit token budgets.23Apache 2.0
- FlicenseNot gradedqualityDmaintenanceLocal MCP server that provides semantic search (RAG) over code repositories, enabling AI clients like Claude and Gemini to access project context without manual re-upload.-
- AlicenseNot gradedqualityAmaintenanceMCP server for local codebase analysis, enabling semantic code search, impact analysis, and pack-scoped retrieval with cited file:line results.Apache 2.0
- FlicenseNot gradedqualityBmaintenanceWorkspace-aware MCP server that provides AI clients with structural code understanding via AST parsing, hybrid retrieval, and git history, enabling accurate code search, definition lookup, and blame analysis.-
- AlicenseNot gradedqualityCmaintenanceMCP server for semantic codebase navigation that builds an AST index of symbols, imports, and exports, providing AI agents with tools to search, explore, and understand code.MIT
TDQS
Scored across 8 tools
Each tool has a distinct purpose: coverage, exact audit, exact search, context extraction, file finding, health check, main search workflow, and structural search. No significant overlap; an agent can easily differentiate them.
All tools follow a consistent prefix 'code_nav.' and use lowercase with underscores. However, the action part varies between nouns (e.g., 'coverage', 'health') and verb_noun patterns (e.g., 'find_file', 'extract_context'), showing minor inconsistency.
With 8 tools, the set is well-scoped for code navigation. Each tool serves a clear function, and the count feels appropriate without being excessive or too sparse.
The tools cover a broad range of code navigation tasks: text search, structural search, file finding, coverage, and context extraction. Minor gaps exist like symbol search or definition lookup, but core workflows are well-supported.