RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent c...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Fresh repo activity plus visible builder pull. This is the kind of tool people test before it turns obvious.
Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
GitHub health 62/100. no security policy. 3,001 open issues make this testable, but not something to trust blind.
AI Agent
Universal
Model
Multiple
Build Time
Days
Fastest way to find out if ragflow belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
claude mcp add ragflow -- npx ragflowRun this first. You will know quickly if the workflow earns a permanent slot.
claude mcp remove ragflowNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude.json └─ mcp_servers/ └─ ragflow ← registers here
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs. An open-source mcp server for the AI coding ecosystem.