Galileo

Integrates with Galileo's evaluation and observability platform to enable dataset creation, prompt template management, experiment setup, log analysis, and step-by-step integration guides for monitoring LLM application performance.

The Galileo MCP server enables seamless integration between AI-powered IDEs like Cursor and VS Code with Galileo's evaluation and observability platform. Through natural conversation with AI assistants, developers can create synthetic datasets, manage prompt templates, set up experiments, analyze log streams for insights and improvements, and get step-by-step integration guides for adding Galileo observability to OpenAI and LangChain applications. The server provides direct access to Galileo's capabilities from the development environment, making it useful for AI application development workflows, performance monitoring, and iterative improvement of LLM-powered systems.