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  • lsfusion-mcp by lsfusion

    lsfusion-mcpofficial

    lsfusion
    F
    license
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    quality
    B
    maintenance
    Enables RAG-powered documentation search using OpenAI embeddings and Pinecone vector database. Provides an extensible framework for adding additional tools with support for both local STDIO and production HTTP transports.
    Last updated

  • Modular RAG MCP Server

    Lina6795
    A
    license
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    quality
    C
    maintenance
    A pluggable, observable modular RAG service framework that exposes tool interfaces via the MCP protocol, enabling AI assistants like Copilot and Claude to directly invoke knowledge retrieval and reasoning capabilities.
    Last updated
    MIT

  • Modular RAG MCP Server

    IcedVodka
    A
    license
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    quality
    D
    maintenance
    A pluggable and observable Retrieval-Augmented Generation framework that exposes hybrid search and document management tools via the Model Context Protocol. It features a complete ingestion pipeline with multi-modal support, automated evaluation using Ragas, and a Streamlit dashboard for real-time tracking.
    Last updated
    1
    MIT

  • Modular RAG MCP Server

    sjjjlol
    A
    license
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    quality
    D
    maintenance
    A pluggable RAG framework that exposes hybrid search, ingestion, and evaluation tools via the Model Context Protocol, enabling AI assistants like Copilot and Claude to query knowledge bases directly.
    Last updated
    MIT

  • Hybrid RAG MCP Server

    jiarongli517021911144
    A
    license
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    quality
    D
    maintenance
    A modular Retrieval-Augmented Generation (RAG) framework that provides hybrid search and knowledge retrieval capabilities via the Model Context Protocol. It enables users to integrate document-based knowledge into LLM workflows with support for dense/sparse retrieval, reranking, and observability.
    Last updated
    MIT

  • knowledge-mcp

    olafgeibig
    A
    license
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    quality
    C
    maintenance
    An MCP server that enables AI agents to query specialized, domain-specific knowledge bases built using the LightRAG framework for enhanced retrieval-augmented generation. It allows for managing and searching knowledge graphs and vector embeddings to provide accurate, context-aware information during an AI assistant's reasoning process.
    Last updated
    59
    MIT

  • Local Mem0 MCP Server

    Hroerkr
    A
    license
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    quality
    D
    maintenance
    A fully self-hosted MCP server that integrates the Mem0 framework to provide persistent memory capabilities for AI assistants using local models and vector storage. It enables users to store, search, and manage contextual information across conversations through a Docker-based deployment.
    Last updated
    3
    MIT

  • Superlinked MCP Server

    hovav698
    F
    license
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    quality
    D
    maintenance
    Enables AI assistants to create and query multi-dimensional vector indexes from structured data files using Superlinked's vector search framework, supporting semantic search, recency, numerical, and categorical filtering.
    Last updated

  • Modular RAG MCP Server

    yj-liuzepeng
    F
    license
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    quality
    -
    maintenance
    A pluggable and observable modular RAG framework that enables AI assistants to perform semantic search, document Q\&A, and knowledge base retrieval. It supports hybrid search, reranking, and multiple LLM backends through a standardized Model Context Protocol interface.
    Last updated
    8