Discover code by meaning and structural relationships using hybrid semantic and graph search for initial codebase exploration.
MIT
204,350 tools. Last updated 2026-06-15 00:11
"Using GitLab Semantic Search for Code Implementation" matching MCP tools:
- Search code repositories by semantic meaning to find relevant code symbols. Filter by programming language for targeted results.MIT
- Execute code implementation tasks using Anthropic Claude CLI agent for translating requirements into working code with strong programming capabilities.MIT
- Search WWDC video transcripts and code examples to find specific discussions, API mentions, or implementation examples. Filter by year, language, and search scope.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
Matching MCP Servers
Semantic Code Search MCPofficial
Flicense-qualityFmaintenanceProvides AI coding agents with structured access to indexed codebases via semantic search, symbol analysis, and file reading tools.Last updated13- FlicenseAqualityCmaintenanceA 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.Last updated32
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GitLab MCP — wraps the GitLab REST API v4 (BYO API key)
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- Search Chromium source code using Google's official Code Search syntax to find functions, classes, symbols, or specific content patterns.
- Search within a Presidential Circular (CB Genelgesi) using keyword or semantic query. Provide the official gazette date from prior search results.MIT
- Search specific Turkish statutes' articles using keyword queries with Boolean operators or semantic AI search for natural language questions.MIT
- Search within a specific legislation number using keyword Boolean operators or natural language semantic queries to find matching articles.MIT
- Create an ABAP behavior implementation class for a behavior definition. Initializes the class object for later implementation code.MIT
- Search Turkish Presidential Decisions using keyword Boolean operators or semantic queries to find relevant content from PDF-based documents.MIT
- Find specific articles within a Turkish Presidential Decree using keyword search with Boolean operators or natural language semantic search.MIT
- Indexes a codebase to build vector embeddings for semantic code search across 50+ languages. Required initial step before searching code.MIT
- Search articles of a Turkish Presidential Regulation by keyword or natural language query. Supports Boolean operators and semantic search.MIT
- Search within a specific institutional regulation's articles using keyword (Boolean operators) or semantic natural language search to retrieve matching articles.MIT
- Find code by meaning using semantic search with natural language queries. Combines AI understanding with text matching to locate relevant snippets, handling typos and variations.MIT
- Search code snippets across CERN GitLab repositories to find usage examples of libraries, functions, or patterns. Search globally or within specific projects with line-level context.AGPL 3.0
- Retrieve implementation source code for a class, function, or struct, displaying actual lines from disk with line numbers. For classes, includes both header and implementation files.MIT
- Search indexed code and documentation using hybrid semantic and keyword retrieval. Ideal for answering questions about your codebase and project architecture.Apache 2.0