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Searching for technologies and tools related to embeddings and vector databases

View all MCP Servers

  • Why this server?

    This server features vector search capabilities, which are relevant to embeddings.

    MyAIServ MCP Server

    eagurin
    Verified
    -
    security
    A
    license
    -
    quality
    A high-performance FastAPI server supporting Model Context Protocol (MCP) for seamless integration with Large Language Models, featuring REST, GraphQL, and WebSocket APIs, along with real-time monitoring and vector search capabilities.
    5
    Python
    MIT License

  • Why this server?

    This server creates a vector store for markdown, html, and text files.

    Simple Files Vector Store Server

    lishenxydlgzs
    Verified
    -
    security
    A
    license
    -
    quality
    A very simple vector store that provides capability to watch a list of directories, and automatically index all the markdown, html and text files in the directory to a vector store to enhance context.
    123
    16
    TypeScript
    MIT License

  • Why this server?

    This server is for advanced retrieval, text chunking.

    Vectorizeofficial

    vectorize-io
    A
    security
    A
    license
    A
    quality
    Vectorize MCP server for advanced retrieval, Private Deep Research, Anything-to-Markdown file extraction and text chunking.
    3
    15
    17
    JavaScript
    MIT License
    • Apple
    • Linux

  • Why this server?

    This server enables saving, searching, and formatting memories with semantic understanding, using vector embeddings for meaning-based search.

    Memory Box MCP Server

    amotivv
    Verified
    A
    security
    A
    license
    A
    quality
    Cline MCP integration that allows users to save, search, and format memories with semantic understanding, providing tools to store and retrieve information using vector embeddings for meaning-based search.
    6
    1
    JavaScript
    MIT License
    • Apple

  • Why this server?

    This server facilitates knowledge graph representation with semantic search using Qdrant.

    MCP Memory Server with Qdrant Persistence

    delorenj
    Verified
    -
    security
    F
    license
    -
    quality
    Facilitates knowledge graph representation with semantic search using Qdrant, supporting OpenAI embeddings for semantic similarity and robust HTTPS integration with file-based graph persistence.
    33
    4
    TypeScript
    • Linux
    • Apple

  • Why this server?

    The MCP Server for Weaviate facilitates integration with Weaviate databases.

    MCP Server Weaviate

    weaviate
    -
    security
    A
    license
    -
    quality
    The MCP Server for Weaviate facilitates integration with Weaviate using a customizable Python-based server, enabling interaction with Weaviate databases and OpenAI APIs via configurable URL and API keys.
    44
    Python
    GPL 3.0
    • Apple

  • Why this server?

    This server provides vector database capabilities through Chroma, enabling semantic document search.

    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

  • Why this server?

    MCP server that retrieves and processes documentation through vector search, and 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?

    This is an example of how to create a MCP server for Qdrant, a vector search engine.

    mcp-server-qdrantofficial

    qdrant
    A
    security
    A
    license
    A
    quality
    This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
    2
    448
    Python
    Apache 2.0

  • Why this server?

    Enables searching and accessing arXiv research papers.

    ArXiv MCP Server

    huanongfish
    A
    security
    A
    license
    A
    quality
    Enables AI assistants to search and access arXiv research papers through a simple Message Control Protocol interface, allowing for paper search, download, listing, and reading capabilities.
    4
    1
    Python
    Apache 2.0