Post Content
You’ve learned the basics—now it’s time to level up. In this chapter, we explore advanced implementation techniques to help you build production-ready, enterprise-grade MCP servers.
From multi-modal support and real-time streaming to scaling strategies and enterprise security, this video is packed with the concepts and code patterns that will take your MCP applications from prototype to powerful infrastructure.
💼 What you’ll learn:
– How to handle multi-modal input and output (text, images, audio, video)
– Best practices for scaling MCP servers using containers, load balancers, and cloud-native tools
– How to integrate OAuth2, Microsoft Entra ID, and API Management for robust security
– Where MCP fits in enterprise ecosystems like Azure OpenAI and Microsoft AI Foundry
– Optimization techniques for real-time streaming and performance at scale
🛠️ Includes hands-on code and architecture samples—plus an advanced exercise to design your own scalable MCP implementation.
If you’re building AI systems that need to be secure, scalable, and enterprise-ready—this is the chapter that gets you there.
MCP for Beginners – https://aka.ms/MCP-for-Beginners
Join us for MCP Dev Days
Day 1: https://aka.ms/MCPDevDays-Day1
Day 2: https://aka.ms/MCPDevDays-Day2
Registration page: https://aka.ms/mcpdevdays Read More Microsoft Developer