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🤖 Build a Multi-Agent System with Azure Foundry & MCP Servers | Full-Stack AI App Tutorial In this step-by-step tutorial, we expand our Azure Foundry application by creating a dedicated Insurance Policy Agent. Learn how to build a full-stack system where a web form triggers an AI agent, which then uses an MCP server to create and store insurance policies as JSON documents in Azure Blob Storage. 🚀 What You’ll Learn: Create a Specialized Foundry Agent: Move beyond a single agent by building a new, focused agent for handling insurance policies. Develop an MCP Server Tool: Build a custom tool that creates new insurance policies and stores them directly in Azure Blob Storage. Integrate a Web Form: Connect a front-end form to your AI agent, allowing users to submit data that seamlessly flows through the entire system. Code Refactoring & Best Practices: Clean up your codebase by creating a base agent class, moving configuration to the startup file, and managing multiple agents efficiently. End-to-End Testing: Test the entire workflow locally and after deployment to Azure. 🛠 In this video, we cover: 00:00 Introduction & Project Overview 01:15 Creating a new branch and MCP server 02:30 Defining the Insurance Policy Tool 04:20 Integrating Azure Blob Storage Service 07:10 Fixing configuration and dependency injection 10:30 Testing the MCP server locally and deploying to Azure 13:45 Creating the new Insurance Policy Agent in Foundry 16:20 Testing the agent in the Foundry Playground 18:00 Building the web form with a model class 20:30 Refactoring code: Creating a base agent class 23:45 Connecting the web form to the new agent 26:30 Full system demo: Form submission to policy creation 28:00 Conclusion & next steps