Session Abstract

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.

Michael Heath

Michael Heath is an innovation strategist and Frontier Firm advisor who helps organizations move from digital transformation to intelligent transformation. With over 15 years of experience across the Microsoft ecosystem and enterprise technology, he partners with leaders to align people, platforms, and purpose through AI, automation, and data. Michael focuses on translating strategy into practical execution, helping organizations scale intelligent systems in ways teams adopt and sustain.