Developing a Windows AI App powered by Azure-hosted MCP

In this final session of our Microsoft Reactor MCP + Azure Integration series, Konstantinos introduces an innovative approach to building a managed AI gateway for enterprise users. This solution combines Model Context Protocol (MCP), Azure Web Apps, and Windows native applications to deliver secure, scalable, and compliant AI experiences across organizations. You’ll learn: How to create a Windows AI assistant app integrated with MCP Why Azure Web App Service is ideal for hosting MCP servers Best practices for security, compliance, and zero trust principles How to deploy and manage apps using Intune and SCCM Extending MCP with Azure AI Foundry models for enterprise-grade AI Future-proofing your architecture with API Management and scalability This session includes a live demo of building and publishing the Windows app in Visual Studio, connecting to an MCP server hosted on Azure, and preparing for enterprise deployment. Chapters 00:50 - Welcome & Code of Conduct 01:42 - Introduction: MCP + Azure Integration Vision 04:03 - Why Enterprises Need a Managed AI Gateway 08:31 - Solution Overview: MCP + Azure Web Apps 10:00 - Architecture Deep Dive 12:32 - Security, Scalability & Zero Trust Principles 14:35 - Demo: Windows AI Assistant App in Visual Studio 22:02 - Designing the Interface with XAML 24:49 - Using MCP Tools in the App 27:09 - Packaging & Deploying via Intune 33:04 - Hosting MCP Server on Azure Web App Service 36:00 - Deployment Slots, Backups & Networking 40:59 - Integrating Azure AI Foundry Models 44:55 - Management, Monitoring & Future Enhancements 47:08 - Closing Thoughts & Collaboration Invitation 48:04 - Feedback & Wrap-Up [eventID:26506]