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"Exploring Cursor Tools for Interfacing with Local LLMs" matching MCP servers:

  • llms-txt-mcp

    tenequm
    A
    license
    -
    quality
    C
    maintenance
    Enables fast, token-efficient access to large documentation files in llms.txt format through semantic search. Solves token limit issues by searching first and retrieving only relevant sections instead of dumping entire documentation.
    3
    MIT

  • TurboQuant Tools

    FreezeVII
    A
    license
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    quality
    A
    maintenance
    MCP server for compressing AI embeddings by 5-7x using TurboQuant (PolarQuant + QJL), with tools to compress, decompress, estimate savings, and embed+compress vectors.
    MIT

  • mem0-local-mcp

    sanchezvivi
    A
    license
    -
    quality
    C
    maintenance
    A fully local, self-hosted memory server for MCP clients (Claude Code, Cursor, etc.) that provides persistent memory storage with semantic search, using local embeddings and a local Qdrant vector store.
    MIT

  • Local RAG

    shinpr
    A
    license
    A
    quality
    A
    maintenance
    Privacy-first local document search using semantic search. Runs entirely on your machine with no cloud services, supporting PDF, DOCX, TXT, and Markdown files.
    9
    3,100
    360
    MIT

  • mcp-rag-local

    renl
    A
    license
    B
    quality
    C
    maintenance
    Enables storing and retrieving text passages based on semantic meaning using local embeddings (Ollama) and vector storage (ChromaDB), allowing conversational memorization and retrieval of information.
    5
    18
    MIT

  • Apple Tools MCP

    sfls1397
    A
    license
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    quality
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    maintenance
    Enables semantic search across Apple Mail, Messages, Calendar, and Contacts on macOS using natural language queries. All processing happens locally with privacy-first vector indexing for fast similarity search.

  • local-RAG-backend

    suwa-sh
    A
    license
    -
    quality
    A
    maintenance
    A Docker-based local RAG backend that provides advanced document search capabilities using vector, graph, and full-text retrieval via the Model Context Protocol. It supports over 28 file formats and tracks evolving relationships between concepts using a Neo4j-backed graphiti implementation.
    1
    MIT

  • MCP RAG with ChromaDB

    CyprianFusi
    A
    license
    -
    quality
    D
    maintenance
    Provides retrieval-augmented generation (RAG) capabilities by ingesting various document formats into a persistent ChromaDB vector store. It enables semantic search and retrieval using either OpenAI or Ollama embeddings for processing local files, directories, and URLs.
    1
    MIT

  • local-rag-mcp

    Orax0001
    A
    license
    -
    quality
    C
    maintenance
    A privacy-preserving local RAG system integrated with MCP, enabling natural language queries over ingested documents and a SQLite database through vector search and local database tools.
    MIT

  • local-rag-mcp-server

    n-irei
    F
    license
    -
    quality
    D
    maintenance
    A fully offline local RAG server that utilizes ChromaDB and Ollama to index and query PDF, text, and Markdown documents. It allows users to manage local knowledge bases and perform semantic searches with AI-generated responses.