First came Generative AI, then Agentic AI, and now Model Context Protocol (MCP) is the latest leap in the AI revolution, reshaping how we orchestrate intelligent workflows across platforms.

You’ve seen MCP servers connecting to Dataverse, Azure DevOps, and Microsoft Learn. But what if you could build your own MCP server, tailored to your specific needs and capable of unlocking functionality that goes far beyond the official offerings?

In this session, we’ll explore how to build custom MCP servers from the ground up. You’ll discover how easy it is to extend the protocol and expose powerful new capabilities that align with your enterprise goals.

By the end of the session, you’ll learn how to transform your end-to-end SDLC into an AI-powered, context-aware engine, boosting productivity, enabling agentic experiences, and laying the foundation for a future where AI becomes a true collaborator in your daily work.