Using RAG to Provide Documentation to LLMs – MCP tools

rag_search
mcp-local-rag
Search the web for queries and retrieve relevant content using local RAG-based similarity ranking to provide context for LLMs.
Python
MIT License
download
MCP Windows Website Downloader Server
Download entire documentation websites for offline RAG indexing by providing a URL, enabling configurable depth and asset capture.
MIT License
download
MCP Windows Website Downloader Server
Download entire documentation websites for offline access and RAG indexing. Supports configurable depth and concurrency settings for efficient website retrieval.
MIT License
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
query
Gemini RAG MCP Server
Search uploaded documents using RAG to find answers with citations. Ask questions to retrieve information from your knowledge base.
MIT License
query
Gemini RAG MCP Server
Search uploaded documents using RAG to find answers with citations. Ask questions to retrieve information from your knowledge base.
MIT License

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