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Qdrant MCP Server

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  • Why this server?

    This server is specifically designed to create an MCP server for Qdrant, a vector search engine, directly matching the user's query.

    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
    421
    Python
    Apache 2.0

  • Why this server?

    This server provides functionality to store and retrieve information from a Qdrant vector database, which aligns with the user's interest in Qdrant and MCP servers.

    MCP Server for Qdrant

    Jimmy974
    -
    security
    F
    license
    -
    quality
    A Machine Control Protocol (MCP) server that enables storing and retrieving information from a Qdrant vector database with semantic search capabilities.
    • Linux
    • Apple

  • Why this server?

    While not Qdrant, Elasticsearch is another popular search engine and this MCP server would enable interaction with it, which might be useful for similar use cases.

    Elasticsearch MCP Server

    awesimon
    Verified
    A
    security
    A
    license
    A
    quality
    Connects agents to Elasticsearch data using the Model Context Protocol, allowing natural language interaction with Elasticsearch indices through MCP Clients like Claude Desktop and Cursor.
    11
    244
    7
    TypeScript
    MIT License
    • Apple
    • Linux

  • Why this server?

    While not Qdrant, Elasticsearch is another popular search engine and this MCP server would enable interaction with it, which might be useful for similar use cases.

    Elasticsearch MCP Server

    da1y
    -
    security
    F
    license
    -
    quality
    A Model Context Protocol server that enables LLMs to interact with Elasticsearch clusters, allowing them to manage indices and execute search queries using natural language.
    1
    JavaScript

  • Why this server?

    While not Qdrant, Elasticsearch is another popular search engine and this MCP server would enable interaction with it, which might be useful for similar use cases.

    Elasticsearch 7.x MCP Server

    imlewc
    A
    security
    A
    license
    A
    quality
    Provides an MCP protocol interface for interacting with Elasticsearch 7.x databases, supporting comprehensive search functionality including aggregations, highlighting, and sorting.
    3
    1
    Python
    Apache 2.0

  • Why this server?

    While not Qdrant, Elasticsearch is another popular search engine and this MCP server would enable interaction with it, which might be useful for similar use cases.

    Elasticsearch MCP Server

    cr7258
    A
    security
    A
    license
    A
    quality
    Facilitates interaction with Elasticsearch clusters by allowing users to perform index operations, document searches, and cluster management via a Model Context Protocol server and natural language commands.
    6
    79
    Python
    Apache 2.0
    • Apple

  • Why this server?

    Chroma is another vector database and this MCP server allows for 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?

    An MCP server that enables retrieval and processing of documentation through vector search. It is another way to create a RAG application, and can be modified to use the Qdrant database.

    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?

    This server enables AI agents to extend their context window by storing, retrieving, and searching memories, a useful feature for interacting with vector databases.

    Simple Memory Extension MCP Server

    gmacev
    -
    security
    A
    license
    -
    quality
    An MCP server that extends AI agents' context window by providing tools to store, retrieve, and search memories, allowing agents to maintain history and context across long interactions.
    5
    TypeScript
    MIT License

  • Why this server?

    This server has capabilities to load txtai embeddings databases.

    kb-mcp-server

    Geeksfino
    -
    security
    F
    license
    -
    quality
    An MCP server aimed to be portable, local, easy and convenient to support semantic/graph based retrieval of txtai "all in one" embeddings database. Any txtai embeddings db in tar.gz form can be loaded
    18
    Python
    • Linux
    • Apple