A compact, production-oriented MCP framework that allows Claude Code to call external AI tools through a standardized server, providing a clear request/response interface and quick local setup.

This guide introduces how to build an MCP server using Python, enabling AI assistants to interact with external tools and data sources through the MCP Python SDK, including installation, quick server setup examples, testing, and deployment considerations.

This is a generative AI course project for beginners, providing a complete learning path from environment setup to practical application. The project includes 6 concept courses and 6 programming courses, using the Azure OpenAI service for practical operations. Learners can quickly start through GitHub Codespaces or choose to install the Python environment locally. The project emphasizes the secure management of API keys and provides detailed setup guides. In addition, learners are encouraged to participate in open-source contributions, and an AI community communication platform is provided.

This project demonstrates how to integrate the Airbnb MCP server with LangChain and Groq through a browser interface, providing detailed setup steps from scratch and a quick start guide using an existing repository.