Learn how to build an Azure AI Foundry Agent that leverages MCP. In this session we will be using the Foundry Agents Service to build a sales data analytics agent and unlock its capabilities with Model Context Protocol.
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The Model Context Protocol (MCP) is rapidly becoming the backbone for AI -based systems that need access to external data, but with great power comes great responsibility, especially when securing server implementations. In this conversation with Nate and Wils, founding engineers at Arcade.dev, we’ll explore advanced security patterns for MCP servers, from OAuth 2.1 flows and token validation to defending against confused deputy attacks, session hijacking, and token passthrough vulnerabilities. We’ll also highlight how all of this accrues to the emerging agentic space, where the interactions are no longer constrained to humans in the loop.
How do you let any MCP-aware agent tap into your platform? Build a remote server! In 30 minutes, Toby P. provides first-hand insights behind building GitHub’s remote MCP server. Then Joe Z. will follow up by building up a fresh remote server live, using the open-source MCP SDK. Walk away with a clear blueprint to launch your own remote MCP server before the day is done.
An in-depth look at the MCP C# SDK including demos of all the new features in the 2025-06-18 spec.
The best way to learn is to do! In this session we are going to use Agent mode to teach us the basics of MCP and implement a server in less than 30 minutes. Can we do it Lets see...
Day 2 shifts into high gear for builders. This keynote sets the stage for a deep dive into MCP implementation, showcasing how to move from proof-of-concept to production-ready MCP servers. Learn the essential building blocks—Azure Functions, API Management, and security best practices—that power scalable MCP solutions. We'll demonstrate prompt-driven development workflows, explore real-world architectures, and reveal how leading organizations are already shipping MCP-powered features. Whether you're building for the enterprise or the edge, this session provides the blueprint for creating secure, scalable MCP servers that transform AI agents from demos into deployed solutions. Get ready to build.