Advanced MCP: Secure, scalable, and multi-modal AI agents

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​ 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

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