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  • Plesk Extensions Guide MCP

    barateza
    A
    license
    -
    quality
    -
    maintenance
    Provides semantic search capabilities over the Plesk Extensions Guide documentation using Retrieval-Augmented Generation (RAG) and vector embeddings. It enables AI assistants to retrieve relevant technical information and answer natural language queries regarding Plesk extension development.
    Last updated

  • MCP Server for Milvus

    zilliztech
    A
    license
    -
    quality
    D
    maintenance
    An integration server implementing the Model Context Protocol that enables LLM applications to interact with Milvus vector database functionality, allowing vector search, collection management, and data operations through natural language.
    Last updated
    237
    Apache 2.0

  • Tiny Chat

    to-aoki
    A
    license
    -
    quality
    C
    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

  • Munin AI Memory

    3d-era
    F
    license
    -
    quality
    A
    maintenance
    Munin is a high-performance, pragmatic memory layer for AI agents (Cursor, Claude Code, OpenClaw, Gemini CLI,...). Unlike other solutions, Munin focuses on developer productivity with: * Multi-Project Support: Isolate memories into separate "brains" (Context Cores). * GraphRAG: Automatically builds a knowledge graph from your context. * Sub-200ms Search: Blazing fast Hybrid & Semantic
    Last updated
    3

  • EyeLevel RAG MCP Server

    wannabidr
    F
    license
    -
    quality
    -
    maintenance
    A local Retrieval-Augmented Generation system that enables users to ingest markdown files into a FAISS-powered vector knowledge base for semantic search. It provides tools for document indexing and context retrieval to support informed LLM queries without external dependencies.
    Last updated

  • privateGPT MCP Server

    Fujitsu-AI
    A
    license
    -
    quality
    D
    maintenance
    A server implementation that allows secure communication between MCP clients and privateGPT, enabling users to chat with privateGPT using knowledge bases and manage sources, groups, and users through a standardized Model Context Protocol.
    Last updated
    6
    MIT

  • stock-rag-mcp

    hemanthkumarkp
    F
    license
    -
    quality
    B
    maintenance
    Enables RAG-based querying of local stock company data using a local LLM and vector database, providing tools to ask questions, search raw chunks, and list documents.
    Last updated

  • semantic-code-mcp

    vrppaul
    F
    license
    A
    quality
    D
    maintenance
    A local MCP server that provides semantic code search for Python codebases using tree-sitter for chunking and LanceDB for vector storage. It enables natural language queries to find relevant code snippets based on meaning rather than just text matching.
    Last updated
    3
    2

  • GraphRAG Llama Index MCP

    T-NhanNguyen
    F
    license
    A
    quality
    D
    maintenance
    Enables AI agents to query a local knowledge graph built from document collections using hybrid search (BM25 + vector fusion) and entity-relationship extraction. Supports privacy-first, offline operation with tools for semantic search, entity graph exploration, and corpus statistics.
    Last updated
    3

  • food-recipe-mcp

    AIDataNordic
    A
    license
    A
    quality
    A
    maintenance
    A production-grade semantic search server for food recipes — built for AI agents using the Model Context Protocol (MCP). Search across 50,000+ recipes with hybrid dense + sparse retrieval and cross-encoder reranking.
    Last updated
    2
    1
    MIT

  • @git-fabric/aiana

    git-fabric
    F
    license
    A
    quality
    -
    maintenance
    A composable semantic memory layer that provides cross-project recall and session context using Qdrant and OpenAI embeddings. It enables users to securely store, search, and manage persistent memories with built-in secret scrubbing for privacy.
    Last updated
    11