Semantic Search MCP Server
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- AlicenseNot gradedqualityCmaintenanceAdds semantic code search to AI coding agents, enabling natural language queries across entire codebases to retrieve relevant code chunks, saving tokens and providing deep context.9 npm1MIT
- AlicenseAqualityAmaintenanceEnables AI coding agents to perform fast regex/text and structural AST searches across codebases, find symbols, list files, and safely preview or apply refactors. It unifies ripgrep and ast-grep with pagination, gitignore-aware defaults, and fallback engines for zero-setup code search.61MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI coding agents to perform semantic code search locally, finding code by meaning rather than exact keywords.3MIT
- FlicenseAqualityCmaintenanceGives coding agents a memory of codebases by searching repositories using semantic similarity and structural call/import graphs, enabling reuse of proven patterns and reducing token usage.6-
- AlicenseNot gradedqualityCmaintenanceProvides semantic code search and retrieval capabilities for AI agents, enabling them to query codebases using natural language with automatic learning, hybrid search, and intelligent chunking of functions and classes.2 npm30ISC
- AlicenseAqualityDmaintenanceEnables AI agents to perform semantic code search across entire codebases using natural language queries. Provides fast indexing and ranked search results with line numbers and file paths through the Seroost search engine.36 npm7ISC
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'semantic_search' has a clear and distinct purpose that cannot be confused with any other tool in the set.
The tool name 'semantic_search' follows a consistent snake_case pattern, and with only one tool, there is no inconsistency to evaluate. The naming is straightforward and matches the server's purpose.
A single tool is generally too few for most server purposes, as it limits functionality and can lead to dead ends in agent workflows. For a semantic search server, one tool feels thin and under-scoped, lacking operations like filtering, indexing, or result management.
The tool set is severely incomplete for a semantic search domain. It only provides a basic search function, with obvious gaps such as indexing documents, managing search indices, updating or deleting entries, or handling advanced search parameters, which are essential for comprehensive semantic search operations.