Integrating AI tools and technologies during cloud development for applications we design and build, whether new or existing, has become a trend, a necessity, and a use case that many are facing and struggling with. As AI technologies is being integrated into our systems to make them smarter and go in tandem with the new technologies, it can be complex and context-dependent. It requires a need for structured, secure, scalable, and well-integrated models and services.

The Model Context Protocol (MCP) is designed to help context-aware interactions between AI models, services, and applications. MCP enables dynamic context sharing, model interoperability, and structured orchestration—making it an essential protocol for building intelligent systems.

In this session, you will learn about MCP servers: what they are, how they function, and why they matter in the era of cloud-native and AI engineering. Session is focused on how you can implement MCP servers in your applications developed using .NET, leveraging Microsoft Azure services such as Azure Functions, Azure API Management, and Azure AI Studio.