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A server or tool using RAG for documentation scraping, storage, and retrieval with SSE support MCP tools

Production-ready MCP servers that extend AI capabilities through file access, database connections, APIs, and contextual services.

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48,127 tools. Last updated 2025-12-29 08:47

  • add_file

    MCP RAG

    Add files to a RAG system for document retrieval, supporting PDF, DOCX, TXT, MD, CSV, and JSON formats to enable semantic search and information access.
    MIT License

  • ask_wiki

    Outline Wiki MCP Server

    Get answers to questions by querying wiki content through RAG-powered search, enabling knowledge retrieval from documentation.

  • web_content_qna

    MCP WebAnalyzer

    Extract and analyze web page content to answer specific questions using RAG (Retrieval Augmented Generation). Provide AI-generated responses based on relevant page sections for accurate insights.
    MIT License

  • remove_file

    MCP RAG

    Delete files from the RAG system to manage storage and maintain relevant content for retrieval-augmented generation tasks.
    MIT License

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