Session
Building Production-Ready Enterprise AI Agents with Azure AI and Model Context Protocol (MCP)
Large Language Models become significantly more valuable when they can securely interact with enterprise systems. The Model Context Protocol (MCP) has emerged as a standard for connecting AI agents with business applications, APIs, and enterprise data.
In this session, we'll build a production-ready MCP server on Azure and explore the architecture required for secure, scalable enterprise AI solutions. We'll cover authentication, authorization, observability, tool registration, deployment, and best practices for integrating Azure OpenAI with enterprise services.
Through live demonstrations and real-world architecture patterns, attendees will learn how to design AI agents that move beyond simple chat experiences into secure enterprise automation.
Naveen Ayalla
Senior Data Engineer at Microsoft | Data Engineering | Microsoft Fabric | Azure | AI & Enterprise Analytics
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