smart-coding-mcp
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- AlicenseAqualityAmaintenanceEnables AI coding assistants to perform local semantic code search using AST parsing and embeddings, finding code by meaning with exact file and line locations, plus AST-based usage lookup.4MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI coding agents to perform semantic code search locally, finding code by meaning rather than exact keywords.3MIT
- AlicenseAqualityFmaintenanceProvides intelligent semantic code search using local AI embeddings, enabling natural language queries to find relevant code by meaning rather than exact keywords. Indexes codebases in the background with smart project detection and privacy-first local processing.69 npm200MIT
- FlicenseNot gradedqualityCmaintenanceEnables AI assistants to index and search codebases using semantic search powered by multiple embedding providers (OpenAI, VoyageAI, Gemini, Ollama) and vector database storage.-
- AlicenseAqualityBmaintenanceEnables AI coding assistants to semantically search codebases by meaning rather than exact text, with zero external daemons and fully local embeddings. Works out-of-the-box with Claude Code, Gemini CLI, Antigravity, and Cursor.4MIT
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TDQS
Scored across 6 tools
Each tool has a clearly described purpose and most are easy to distinguish. The main ambiguity is between b_index_codebase and c_clear_cache, since both can result in a rebuilt embedding index, but their described triggers differ enough to avoid serious confusion.
The names use consistent snake_case and mostly follow a verb_noun pattern, but the arbitrary a_, b_, c_ prefixes are not semantically meaningful and a_semantic_search breaks the verb_noun pattern by leading with an adjective. The overall style is readable but mixes conventions.
Six tools is a reasonable size for a focused semantic code search server. However, d_check_last_version is unrelated to the core semantic-search/indexing workflow, so the tool set is slightly less focused than it could be.
The core workflow is well covered: workspace setup, indexing, cache invalidation, semantic search, and server status. Minor gaps exist around configuration control or more granular index inspection, but agents can complete the primary tasks without dead ends.