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

  • semantic-code-mcp

    vrppaul
    F
    license
    A
    quality
    C
    maintenance
    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

  • semantic-code-mcp

    huawang1258
    A
    license
    A
    quality
    B
    maintenance
    A self-hosted semantic code retrieval MCP server that enables natural language queries to find relevant code snippets using Tree-sitter AST parsing, embedding, and hybrid search with reranking.
    1
    2
    MIT

  • semantic-search

    kengo006
    A
    license
    A
    quality
    A
    maintenance
    Local semantic recall MCP server for citation-integrity workflows. Enables semantic search over a text corpus, returning file paths and page numbers for verification, with 100% local processing using ONNX embeddings and LanceDB.
    2
    1
    MIT

  • cowork-semantic-search

    ZhuBit
    A
    license
    -
    quality
    C
    maintenance
    Local offline semantic search over documents (txt, md, pdf, docx, pptx, csv). Indexes folders into a LanceDB vector database with multilingual embeddings and supports hybrid vector + keyword search via Reciprocal Rank Fusion. No API keys, no cloud, no Docker required.
    28
    AGPL 3.0

  • code-search

    amolchanov
    A
    license
    -
    quality
    D
    maintenance
    Enables semantic code search across indexed code folders using vector embeddings, with support for multiple embedding providers and automatic file watching. Provides an admin UI and integrates with MCP clients for natural language code queries.
    MIT

  • Personal Semantic Search MCP

    Ethan2298
    F
    license
    -
    quality
    D
    maintenance
    Enables semantic search over local notes and documents using natural language queries. Supports multiple file types (Markdown, Python, HTML, JSON, CSV, text) with fast local embeddings and persistent ChromaDB vector storage.
    1

  • mcp-semantic-search

    lemuelflores
    F
    license
    A
    quality
    B
    maintenance
    Enables semantic search over local markdown specs, RFCs, and docs using Ollama and LanceDB, allowing AI agents to find relevant information by meaning rather than exact keywords.
    3

  • Hugging Face Hub Semantic

    davanstrien
    A
    license
    -
    quality
    D
    maintenance
    An unofficial MCP server that provides semantic search capabilities for Hugging Face models and datasets, enabling Claude and other MCP-compatible clients to search, discover, and explore the Hugging Face ecosystem using natural language queries.
    20
    MIT

  • semantic-runtime

    Chloride233
    A
    license
    -
    quality
    A
    maintenance
    Enables MCP clients to serve and query semantic models, providing tools for entity descriptions, metric lookups, context resolution, and operation validation for AI agents.
    MIT

  • semantic-memory

    GFYURI
    A
    license
    -
    quality
    C
    maintenance
    Persistent memory with semantic search for Claude and MCP-compatible clients, storing context that survives conversations and can be retrieved intelligently.
    1
    MIT

  • Semantic Cache MCP

    CoderDayton
    A
    license
    A
    quality
    A
    maintenance
    Reduces token consumption by over 80% through intelligent file caching, returning only diffs for modified files and suppressing unchanged content. It features a suite of 12 tools for semantic search, batch reading, and efficient file editing to optimize LLM interactions with large codebases.
    13
    2
    MIT

  • pg-semantic-mcp

    chncaesar
    A
    license
    A
    quality
    A
    maintenance
    A read-only PostgreSQL MCP server for AI coding agents that exposes database schema and sample data as tools, with LLM-powered semantic search enriched by a user-authored semantic layer.
    4
    MIT