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glama

RAGFlow MCP Server

Enables semantic retrieval and knowledge base management through the RAGFlow API, including dataset, document, chunk, chat, and graph operations.

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
🔐
You'll be asked for 1 credential: RAGFLOW_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
🔐 secretRAGFLOW_API_KEYclaude mcp add ragflow -e =your-api-key -e RAGFLOW_URL=http://localhost:9380/api/v1 -- python -m src.server
configLOG_LEVEL
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 5 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/juxsta-ragflow-mcp-1c841b)](https://m8ven.ai/mcp/juxsta-ragflow-mcp-1c841b)
commit: f61ef1468bf9d3e7a0fa6d695abd358146fcb5b2
code hash: 87682166e77b1367c08f49a510c1c0792814bfb065e741f2a9a66909484b7396
verified: 6/21/2026, 10:33:28 AM
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