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7/12/2026
RAGFlow + MCP: Turning Your Best RAG Config Into a Production Assistant

RAGFlow + MCP: Turning Your Best RAG Config Into a Production Assistant

Short summary

RAGFlow is an open-source RAG platform (80k+ GitHub stars) that goes beyond flat-text parsing with its DeepDoc engine, preserving table structure, applying OCR, and understanding heading hierarchy across Word, Excel, PDF, and more. By running RAGFlow as an MCP server, teams can connect their document knowledge base directly into tools like Claude and Cursor, letting users query internal documents with source citations without learning a new interface. The author recommends using measurement tools (AutoRAG, RAGBuilder) to find optimal RAG settings, then plugging those into a self-hosted RAGFlow deployment for a privacy-compliant production assistant.

  • •RAGFlow's DeepDoc engine handles complex document parsing (tables, OCR, headings) better than flat-text RAG tools
  • •RAGFlow can run as an MCP server, integrating document search into Claude and Cursor directly
  • •Self-hosted deployment keeps data on your own servers for GDPR/KVKK compliance

Generated with AI, which can make mistakes.

#ai-tools#open-source#ai-agents#industry-adoption
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