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Connecting to a RAG server

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  • Why this server?

    Provides RAG capabilities for semantic document search using Qdrant vector database and Ollama/OpenAI embeddings.

    RagDocs MCP Server

    heltonteixeira
    -
    security
    A
    license
    -
    quality
    Provides RAG capabilities for semantic document search using Qdrant vector database and Ollama/OpenAI embeddings, allowing users to add, search, list, and delete documentation with metadata support.
    5
    4
    TypeScript
    Apache 2.0

  • Why this server?

    A Model Context Protocol (MCP) server enabling semantic search and retrieval of documentation using a vector database (Qdrant).

    MCP-Ragdocs

    qpd-v
    -
    security
    A
    license
    -
    quality
    A Model Context Protocol (MCP) server that enables semantic search and retrieval of documentation using a vector database (Qdrant). This server allows you to add documentation from URLs or local files and then search through them using natural language queries.
    14
    74
    JavaScript
    Apache 2.0
    • Apple

  • Why this server?

    An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context

    mcp-ragdocs

    hannesrudolph
    Verified
    A
    security
    A
    license
    A
    quality
    An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context
    7
    62
    81
    TypeScript
    MIT License

  • Why this server?

    An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context. Uses Ollama or OpenAI to generate embeddings.

    @sanderkooger/mcp-server-ragdocs

    sanderkooger
    Verified
    -
    security
    A
    license
    -
    quality
    An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context. Uses Ollama or OpenAI to generate embeddings. Docker files included
    19
    14
    TypeScript
    MIT License
    • Apple
    • Linux

  • Why this server?

    Enables semantic search and RAG (Retrieval Augmented Generation) over your Apple Notes.

    mcp-apple-notes

    RafalWilinski
    -
    security
    F
    license
    -
    quality
    Enables semantic search and RAG (Retrieval Augmented Generation) over your Apple Notes.
    158
    TypeScript
    • Apple

  • Why this server?

    A Model Context Protocol server that enables semantic search and retrieval of Apple Notes content, allowing AI assistants to access, search, and create notes using on-device embeddings.

    MCP Apple Notes

    Dingzeefs
    -
    security
    F
    license
    -
    quality
    A Model Context Protocol server that enables semantic search and retrieval of Apple Notes content, allowing AI assistants to access, search, and create notes using on-device embeddings.
    TypeScript
    • Apple

  • Why this server?

    A Model Context Protocol server providing vector database capabilities through Chroma, enabling semantic document search, metadata filtering, and document management with persistent storage.

    Chroma MCP Server

    privetin
    -
    security
    A
    license
    -
    quality
    A Model Context Protocol server providing vector database capabilities through Chroma, enabling semantic document search, metadata filtering, and document management with persistent storage.
    17
    Python
    MIT License
    • Apple
    • Linux