Model Context Protocol (MCP) is changing how AI agents interact with tools, share context, and adapt over time. As organizations move beyond static integrations, MCP introduces a new way for agents to reason about available capabilities and coordinate actions.

In this session, we demonstrate MCP in practice using Copilot Studio through live demos, starting with straightforward MCP-backed interactions and progressing to more advanced scenarios such as tool discovery, agent and tool chaining, and contextual handoff. Along the way, we show how Copilot Studio communicates with MCP-backed tools, how context is passed and reused, and how these patterns differ from traditional API integrations. Attendees will leave with a practical understanding of where MCP fits in modern agent design and how to apply these patterns in their own environments.