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"A server or tool using RAG for documentation scraping, storage, and retrieval with SSE support" matching MCP servers:

  • 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

  • Documentation Fetcher & RAG

    mikkelkrogsholm
    F
    license
    -
    quality
    D
    maintenance
    Enables AI assistants to fetch, index, and perform semantic RAG-based searches on API documentation from various sources. It provides tools for hybrid search and collection management, allowing users to access up-to-date documentation from projects like Gemini and FastMCP.

  • RAG In A Box MCP Server

    DevNexsler
    F
    license
    -
    quality
    B
    maintenance
    Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.
    4

  • Knowledge Retrieval Server

    cskwork
    F
    license
    B
    quality
    D
    maintenance
    A BM25-based MCP server that enables document search and retrieval across structured domains of knowledge content, allowing Claude to search and reference documentation when answering questions.
    4
    1

  • RAG MCP Tool

    musnows
    F
    license
    B
    quality
    D
    maintenance
    Provides intelligent retrieval capabilities for local files by scanning directories, generating vector indexes, and enabling semantic search through RAG (Retrieval Augmented Generation) with incremental indexing support.
    2

  • Perplexity Tool for Claude

    letsbuildagent
    A
    license
    C
    quality
    F
    maintenance
    A custom MCP tool that integrates Perplexity AI's API with Claude Desktop, allowing Claude to perform web-based research and provide answers with citations.
    1
    6
    MIT

  • mcp-rag-server

    shabib87
    A
    license
    -
    quality
    F
    maintenance
    A Model Context Protocol (MCP) server with Retrieval-Augmented Generation (RAG) for answering questions about imaginary SuperNova documentation. Enables semantic search over documentation using HuggingFace embeddings.
    1
    MIT

  • mcp-retrieval-probe

    borisknight
    A
    license
    -
    quality
    B
    maintenance
    An evaluation harness that probes MCP-based retrieval servers for calibration, relevance, coverage, citation integrity, and more, also exposing the probes as MCP tools for assistants and CI agents.
    MIT

  • rag-server

    andreeagheorghe
    F
    license
    -
    quality
    B
    maintenance
    Local MCP server that provides a search_documents tool to query a RAG pipeline built with Ollama embeddings and ChromaDB, enabling Claude Desktop to retrieve relevant document chunks.

  • RAG Query MCP Server

    Akashbakshi99
    F
    license
    -
    quality
    C
    maintenance
    Enables querying a hybrid-retrieval RAG pipeline (dense + BM25) over ingested PDF documents, returning answers generated by Gemini.

  • OnMind-RAG

    kaesar
    A
    license
    A
    quality
    C
    maintenance
    A lightweight knowledge base MCP server that enables full-text search and retrieval of markdown documents from indexed sites using Orama BM25.
    7
    Apache 2.0

  • mcp-rag

    elhassane1230
    A
    license
    A
    quality
    C
    maintenance
    Enables semantic search and question answering over a knowledge base using hybrid retrieval and grounded answers, all running offline with no API keys.
    4
    MIT

  • Modular RAG MCP Server

    nobitalqs
    A
    license
    A
    quality
    D
    maintenance
    A fully modular RAG system with MCP protocol integration, enabling hybrid retrieval, multimodal support, and dual-mode transport for connecting to AI assistants like GitHub Copilot and Claude Desktop.
    5
    1
    MIT