RAGScore
Generate QA datasets & evaluate RAG systems with failure diagnosis. Any LLM.
What is RAGScore?
RAGScore is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to generate qa datasets & evaluate rag systems with failure diagnosis. any llm.
Generate QA datasets & evaluate RAG systems with failure diagnosis. Any LLM.
This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Generate QA datasets & evaluate RAG systems with failure dia
Use Cases
Maintainer
Works with
Installation
PIP
pip install ragscoreManual Installation
pip install ragscoreConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about RAGScore
What is RAGScore?
RAGScore is a Model Context Protocol (MCP) server that generate qa datasets & evaluate rag systems with failure diagnosis. any llm. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install RAGScore?
Install via pip with: pip install ragscore. Then configure your AI client to connect to this MCP server.
Which AI clients work with RAGScore?
RAGScore works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is RAGScore free to use?
Yes, RAGScore is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Set Up RAGScore 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
Ready to use RAGScore?
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