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  • Tiny Chat

    to-aoki
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    quality
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    maintenance
    A lightweight RAG system that provides an MCP server for searching and interacting with vector-based knowledge bases. It enables users to perform retrieval-augmented generation and search across Qdrant collections through a standardized interface.
    Last updated
    2
    MIT

  • MCP Brain Service

    jomapps
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    Enables character management and semantic search for the Auto-Movie application through WebSocket communication. Supports creating characters with personality/appearance descriptions and finding similar characters using natural language queries with embedding-based similarity matching.
    Last updated

  • MCP Memory SQLite

    spences10
    A
    license
    C
    quality
    D
    maintenance
    Provides persistent memory and knowledge graph capabilities for AI assistants using local SQLite storage. Enables creating, searching, and managing entities, relationships, and observations with vector search support across conversations.
    Last updated
    7
    36
    14
    MIT
  • @manasdb/mcp-server by manasdb

    @manasdb/mcp-serverofficial

    manasdb
    A
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    quality
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    maintenance
    Provides a plug-and-play persistent memory layer for MCP-compatible AI assistants, enabling them to store, retrieve, and delete memories across multiple databases simultaneously using semantic vector search.
    Last updated
    5
    MIT
  • MCP MariaDB Server by MariaDB

    MCP MariaDB Serverofficial

    MariaDB
    A
    license
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    quality
    F
    maintenance
    An interface for managing and querying MariaDB databases that supports standard SQL operations alongside advanced vector and embedding-based search capabilities. It enables AI assistants to seamlessly integrate relational and vector data workflows through a standardized protocol.
    Last updated
    188
    MIT

  • MCP Memory

    tdyfy9
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    quality
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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
    13
    MIT

  • MyAIServ MCP Server

    eagurin
    A
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    quality
    D
    maintenance
    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.
    Last updated
    8
    MIT

  • RAG-MCP

    Luxter77
    A
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    quality
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    maintenance
    A Python server that enables retrieval-augmented generation through semantic, question/answer, and style search modalities using PostgreSQL and pgvector for embedding storage and retrieval.
    Last updated
    2
    Apache 2.0

  • Chronicle Beta

    AnirudhB-6001
    A
    license
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    quality
    D
    maintenance
    A local-first personal RAG memory system that turns AI conversation history into a searchable, retrievable knowledge base via MCP, enabling LLMs to semantically search past conversations.
    Last updated
    8
    AGPL 3.0

  • n8n-fabric

    ry-ops
    A
    license
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    quality
    D
    maintenance
    Wraps n8n with an MCP server and vector storage to enable semantic search, management, and execution of automated workflows. It integrates with other tools to make workflows searchable and orchestratable within a larger automation ecosystem.
    Last updated
    1
    MIT

  • MCP MariaDB Server

    Diae-Louali
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    quality
    D
    maintenance
    Enables AI assistants to interact with MariaDB databases through standard SQL operations and advanced vector/embedding-based search. Supports database management, schema inspection, and semantic document storage and retrieval with multiple embedding providers.
    Last updated
    MIT

  • mcp-rag-mini

    Pinger1456
    A
    license
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    quality
    B
    maintenance
    A minimal RAG service that exposes a vector index for document retrieval via REST and MCP, allowing querying for relevant document chunks and returning a suggested LLM prompt.
    Last updated
    MIT

  • GraphRAG MCP Server

    rileylemm
    A
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    quality
    D
    maintenance
    Enables querying a hybrid system that combines Neo4j graph database and Qdrant vector database for powerful semantic and graph-based document retrieval through the Model Context Protocol.
    Last updated
    63
    MIT