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Using RAG to Provide Documentation to LLMs MCP tools

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

71,143 tools. Last updated 2026-02-11 02:52
  • Search the web for queries and retrieve relevant content using local RAG-based similarity ranking to provide context for LLMs.
    Python
    MIT
  • 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
  • Search uploaded documents using RAG to find answers with citations. Ask questions to retrieve information from your knowledge base.
    MIT
  • Search uploaded documents using RAG to find answers with citations. Ask questions to retrieve information from your knowledge base.
    MIT

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