RAGFlow MCP
A simple temporary MCP server for RAGFlow that bridges the gap until an official version is released.
What is RAGFlow MCP?
RAGFlow MCP is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to simple temporary mcp server for ragflow that bridges the gap until an official version is released.
A simple temporary MCP server for RAGFlow that bridges the gap until an official version is released.
This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A simple temporary MCP server for RAGFlow that bridges the g
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx ragflow-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about RAGFlow MCP
What is RAGFlow MCP?
RAGFlow MCP is a Model Context Protocol (MCP) server that simple temporary mcp server for ragflow that bridges the gap until an official version is released. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install RAGFlow MCP?
Follow the installation instructions on the RAGFlow MCP GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with RAGFlow MCP?
RAGFlow MCP works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is RAGFlow MCP free to use?
Yes, RAGFlow MCP is open source and available under the Apache 2.0 license. You can use it freely in both personal and commercial projects.
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Browse More Knowledge & Memory MCP Servers
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Set Up RAGFlow MCP in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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