Model Context Protocol (MCP) is fast becoming the standard way to connect AI agents to enterprise systems, tools, and data. But what does it mean for Microsoft Copilot Studio developers and architects?

This demo-driven session shows how MCP gives agents a standard way to discover and work with business systems. We'll cover why Microsoft adopted MCP, how it works with Copilot Studio, Azure AI Foundry, Dataverse, and SharePoint, and what architects need to know before going to production.

In live demos, we'll build a Copilot Studio agent that talks to multiple MCP servers to pull business data, run actions, and orchestrate workflows. Along the way we'll cover authentication, governance, security, and deployment.
Whether you're building your first enterprise agent or modernizing existing Copilot solutions, you'll leave with practical guidance for designing AI architectures that are scalable, secure, and ready for what's next.