Project

This lab teaches you how to design and build AI applications using the Model Context Protocol (MCP) and Azure AI Gateway. You will learn how to create MCP servers that connect AI models to external tools and data sources, configure Azure API Management as an AI Gateway to manage and secure AI API traffic, and build end-to-end solutions that leverage MCP for tool integration and AI Gateway for centralized AI endpoint management, monitoring, and governance.

Step by Step Instructions

The step by step instructions for this lab can be found in the MCP and AI Gateway guide.

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.