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"An MCP server supporting MySQL connection with SSL mode required" matching MCP servers:

  • MindsDB MySQL MCP Server

    nikhgupta
    F
    license
    B
    quality
    D
    maintenance
    Connects AI clients to MindsDB via the MySQL protocol to execute SQL queries, manage databases, and perform semantic searches within knowledge bases. It enables automated workflows through job scheduling and provides seamless integration with external data sources.
    11

  • 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

  • Elasticsearch MCP Server

    gpremo-re
    A
    license
    -
    quality
    D
    maintenance
    An MCP server that enables AI assistants to directly interact with Elasticsearch for searching, aggregating, and retrieving documents from indices, supporting full-text search, semantic search, and various query modes.
    15
    MIT

  • ChromaDB MCP Server

    rkilchmn
    A
    license
    -
    quality
    D
    maintenance
    An MCP server that exposes ChromaDB vector database operations, enabling AI assistants to perform collection management and semantic document searches. It supports HTTP, persistent, and in-memory connection modes along with various embedding providers including OpenAI and HuggingFace.
    MIT
  • zvec-mcp-server by zvec-ai

    zvec-mcp-serverofficial

    zvec-ai
    A
    license
    A
    quality
    D
    maintenance
    Enables LLMs to interact with Zvec vector database through tools for collection management, document operations, vector search, and AI-powered embeddings.
    17
    7
    Apache 2.0

  • w3-mcp-server-qdrant

    famtong8-dev
    A
    license
    A
    quality
    C
    maintenance
    Python MCP server for vector search using Qdrant vector database and Ollama embeddings, with advanced query techniques like query expansion, HyDE, and reranking.
    2
    2
    MIT

  • mcp-server

    seonokkim
    A
    license
    A
    quality
    D
    maintenance
    An MCP server that integrates with LangChain and ChromaDB to provide documentation search for AI libraries and vector database management.
    4
    MIT

  • Vectorize MCP Server

    dannwaneri
    A
    license
    A
    quality
    D
    maintenance
    Provides semantic search capabilities by connecting Claude Desktop to a Cloudflare Workers backend powered by Vectorize. It enables natural language querying of knowledge bases using vector similarity and edge-based embedding generation.
    2
    MIT

  • Typesense MCP Server

    avarant
    A
    license
    A
    quality
    C
    maintenance
    A server that enables vector and keyword search capabilities in Typesense databases through the Model Context Protocol, providing tools for collection management, document operations, and search functionality.
    14
    10
    MIT
  • Zilliz MCP Server by zilliztech

    Zilliz MCP Serverofficial

    zilliztech
    A
    license
    A
    quality
    D
    maintenance
    Enables AI agents to interact with Milvus vector databases and Zilliz Cloud through natural language, allowing users to create clusters, manage collections, insert vector data, and perform semantic searches directly from their AI assistants.
    16
    34
    Apache 2.0

  • KB-MCP Server

    isshiki-dev
    F
    license
    A
    quality
    -
    maintenance
    A local-first knowledge base server that enables AI clients to store, retrieve, and manage documents using semantic search. Provides privacy-focused, offline-capable memory for AI assistants with tools for ingesting, querying, updating, and deleting knowledge.
    7
    16

  • CoderSwap MCP Server

    njlnaet
    F
    license
    A
    quality
    -
    maintenance
    Enables AI agents to autonomously create and manage topic-specific vector knowledge bases with end-to-end functionality including project creation, content ingestion from URLs, semantic search, and progress tracking. Provides a complete research workflow without exposing low-level APIs.
    8
    93