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  • ArcadeDB Multi-Model DBMS by ArcadeData

    ArcadeDB Multi-Model DBMSofficial

    ArcadeData
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    ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.
    Last updated
    10
    1,065
    Apache 2.0

  • MCP RAG

    kalicyh
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    Intelligent knowledge base system that enables users to process documents in 25+ formats, perform semantic search and Q\&A through vector retrieval. Supports multiple AI models including OpenAI and DouBao with local processing capabilities.
    Last updated
    10
    5
  • Chroma MCP Server by chroma-core

    Chroma MCP Serverofficial

    chroma-core
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    quality
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    A server that provides data retrieval capabilities powered by Chroma embedding database, enabling AI models to create collections over generated data and user inputs, and retrieve that data using vector search, full text search, and metadata filtering.
    Last updated
    13
    584
    Apache 2.0

  • Typesense MCP Server

    avarant
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    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.
    Last updated
    14
    10
    MIT

  • Chroma MCP Server

    zwczwczwc
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    A Model Context Protocol server for Chroma, enabling AI models to create collections and retrieve data using vector search, full text search, and metadata filtering.
    Last updated
    13
    Apache 2.0
  • Baidu Vector Database MCP Server by baidu

    Baidu Vector Database MCPofficial

    baidu
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    license
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    A server that provides access to Baidu Cloud Vector Database functionality through the Model Context Protocol, enabling LLM applications to perform vector searches and database operations via natural language.
    Last updated
    14
    3
    Apache 2.0

  • PocketMCP

    Kailash-Sankar
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    A lightweight, local-first MCP server that automatically watches folders, chunks and embeds files using Transformers.js, and exposes semantic search capabilities to VS Code and Cursor. Runs completely offline with SQLite vector storage, designed for resource-constrained environments.
    Last updated
    4
    1

  • AGI MCP Server

    randyandrade
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    Enables persistent memory for AI systems by providing tools for episodic, semantic, and procedural data storage through a vector-and-graph-enhanced database. It allows models to maintain long-term continuity using similarity search, thematic clustering, and identity tracking.
    Last updated
    24
    1
  • tigergraph-mcp by tigergraph

    tigergraph-mcpofficial

    tigergraph
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    Model Context Protocol (MCP) server for TigerGraph that lets AI agents interact with TigerGraph through the MCP standard using pyTigerGraph's async APIs.
    Last updated
    3
    Apache 2.0

  • mcplex

    dbhavery
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    An MCP server that bridges local Ollama models and ChromaDB vector memory to MCP clients like Claude Code. It enables local text generation, vision-based image analysis, and semantic memory storage without requiring external API keys.
    Last updated

  • Tea Rags MCP

    artk0de
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    A high-performance MCP server for semantic search and codebase indexing using the Qdrant vector database. It features optimized embedding pipelines, AST-aware chunking, and git metadata enrichment for fast, privacy-focused local or remote search.
    Last updated
    240
    11
    MIT

  • MCP Memory

    tdyfy9
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    MCP Memory is a MCP Server that gives clients like Cursor and Claude the ability to remember user preferences and behaviors across conversations using vector search.
    Last updated
    12
    MIT