ragflow-mcp
by oraichain
A simple RAGFlow MCP (Model Context Protocol) server. It's intended as a temporary solution until the official MCP server from the RAGFlow team is released.
Last updated: N/A
What is ragflow-mcp?
This is a basic RAGFlow MCP server. It serves as a temporary implementation of the Model Context Protocol for RAGFlow applications.
How to use ragflow-mcp?
The server can be installed using either conda or uv (recommended). Follow the installation instructions in the README to set up the environment and install dependencies. After installation, start the MCP server and use the provided command to start the MCP server inspector for debugging.
Key features of ragflow-mcp
Simple implementation of MCP
Easy installation with conda or uv
Debugging inspector
Temporary solution for RAGFlow MCP
Use cases of ragflow-mcp
Testing RAGFlow applications
Debugging RAGFlow integrations
Prototyping with RAGFlow
Using as a temporary MCP server
FAQ from ragflow-mcp
What is RAGFlow?
What is RAGFlow?
RAGFlow is a framework for building Retrieval-Augmented Generation (RAG) applications.
What is MCP?
What is MCP?
MCP stands for Model Context Protocol. It's a protocol for exchanging context information between models and applications.
Why use this MCP server?
Why use this MCP server?
This server is a temporary solution until the official RAGFlow MCP server is released. It allows you to start experimenting with RAGFlow and MCP immediately.
Which installation method should I use?
Which installation method should I use?
The uv installation method is recommended for faster installation and better dependency management.
How do I debug the MCP server?
How do I debug the MCP server?
Use the provided command to start the MCP server inspector for debugging.