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457,133 tools. Updated 2026-08-14 08:39

"Using GitLab Semantic Search for Code Implementation" matching MCP tools:

  • Search Code-Fundi repositories with semantic search, grep over docs, or grep over code. Returns matching files with similarity scores, paths, and optional documentation.
    MIT
  • Search persistent memory using semantic similarity to retrieve relevant memories and related knowledge graph facts.
    MIT
  • Search vectorized files in a group using semantic queries to find relevant content based on meaning rather than keywords.
    MIT
  • Locate code by meaning and structure using hybrid semantic-graph search. Returns files, signatures, and dependencies for initial codebase discovery.
    MIT

Matching MCP Servers

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    A local MCP server that provides semantic code search for Python codebases using tree-sitter for chunking and LanceDB for vector storage. It enables natural language queries to find relevant code snippets based on meaning rather than just text matching.
    3
    3

Matching MCP Connectors

  • GitLab MCP — wraps the GitLab REST API v4 (BYO API key)

  • GitLab Public MCP — wraps the GitLab REST API v4 (public endpoints, no auth)

  • Search project documentation and README files using semantic search to answer conceptual questions about how features work or system architecture.
    MIT
  • Search within a Presidential Circular (CB Genelgesi) using keyword or semantic query. Provide the official gazette date from prior search results.
    MIT
  • Search code symbols using natural-language descriptions. Ranks results by semantic, lexical, and centrality relevance.
    Apache 2.0
  • Search specific Turkish statutes' articles using keyword queries with Boolean operators or semantic AI search for natural language questions.
    MIT
  • Validate MAID manifests against code, tests, or schema using three modes: implementation, behavioral, and schema.
    MIT
  • Search source code and header files to find implementation details, filtering out documentation. Returns relevant code chunks based on natural language queries.
    Apache 2.0
  • Search an indexed local codebase with hybrid semantic and full-text queries to uncover existing patterns and examples for informed code review.
    MIT
  • Search a codebase using keyword, semantic, or hybrid queries to find relevant code chunks with file paths, line numbers, and relevance scores.
    MIT
  • Search within a specific legislation number using keyword Boolean operators or natural language semantic queries to find matching articles.
    MIT
  • Find specific articles within a Turkish Presidential Decree using keyword search with Boolean operators or natural language semantic search.
    MIT