RAGFlow
Provides a comprehensive Model Context Protocol interface for RAGFlow, enabling AI models to perform semantic retrieval, manage datasets, and handle document chunks. It supports advanced features like GraphRAG and RAPTOR for sophisticated knowledge b
What is RAGFlow?
RAGFlow is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to provides a comprehensive model context protocol interface for ragflow, enabling ai models to perform semantic retrieval, manage datasets, and handle document chunks. it supports advanced features like...
Provides a comprehensive Model Context Protocol interface for RAGFlow, enabling AI models to perform semantic retrieval, manage datasets, and handle document chunks. It supports advanced features like GraphRAG and RAPTOR for sophisticated knowledge b
This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Provides a comprehensive Model Context Protocol interface fo
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx ragflow-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about RAGFlow
What is RAGFlow?
RAGFlow is a Model Context Protocol (MCP) server that provides a comprehensive model context protocol interface for ragflow, enabling ai models to perform semantic retrieval, manage datasets, and handle document chunks. it supports advanced features like graphrag and raptor for sophisticated knowledge b It connects AI assistants to external tools and data sources through a standardized interface.
How do I install RAGFlow?
Follow the installation instructions on the RAGFlow GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with RAGFlow?
RAGFlow works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is RAGFlow free to use?
Yes, RAGFlow is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Browse More Knowledge & Memory MCP Servers
Explore all knowledge & memory servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up RAGFlow 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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