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"A server for finding code examples on GitLab using semantic search" 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-search-mcp

    adborroto
    A
    license
    -
    quality
    B
    maintenance
    A tiny RAG-lite retrieval engine that indexes files on disk and provides semantic search via MCP, returning relevant text chunks (file, line, score) without generating answers.
    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

  • 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

  • skill-search

    sowhan
    A
    license
    -
    quality
    A
    maintenance
    Semantic, on-demand skill retrieval for Claude Code that saves tokens and improves skill discovery by replacing the native skill listing with vector embedding search.
    8
    MIT

  • code-context

    jieyefriic
    A
    license
    -
    quality
    D
    maintenance
    Enables AI coding assistants to automatically scan, store, and query API endpoints from codebases, providing instant lookup and semantic search to reduce context switching and token consumption.
    1
    MIT

  • code-vector-sync

    Abernaughty
    F
    license
    -
    quality
    D
    maintenance
    Enables semantic code search over a local codebase using Qdrant vector embeddings and OpenAI embeddings, allowing natural language queries from MCP-compatible clients like Claude Desktop.

  • smart-search

    ekmungi
    F
    license
    -
    quality
    D
    maintenance
    A local-first MCP server that enables semantic search over PDF and DOCX documents using structure-aware parsing and vector storage. It allows users to query their local knowledge base through Claude Code without cloud dependencies or GPU requirements.