Azure AI Foundry Agent & MCP Integration with C# & ASP.NET, User Sign In - Part 3 скачать в хорошем качестве

Azure AI Foundry Agent & MCP Integration with C# & ASP.NET, User Sign In - Part 3

Overview This is the second part of a tutorial series demonstrating how to integrate an ASP.NET Core application with Azure AI Foundry using an MCP (Model Context Protocol) server. The video focuses on implementing two-way communication by fetching and displaying user data from Azure Storage Table in a web application. Key Topics Covered 1. Project Setup & MCP Tool Enhancement Extends the existing user management system from Part 1 Creates a new MCP tool called "Get All Users" that retrieves user data from Azure Storage Table Demonstrates adding new tools to the existing MCP server infrastructure 2. Backend Development MCP Server Enhancement: Adds a new method GetAllUsers() in the user management service Azure Storage Integration: Shows how to query and retrieve all user records from Azure Table Storage Testing: Uses Postman to verify the MCP tool works correctly before web integration 3. Frontend Integration Creates a new "Get All Users" page in the ASP.NET Core application Implements UserManagementAgent with a new method to call the Azure AI Foundry agent Handles agent response parsing and JSON deserialization with proper camel case configuration 4. Prompt Engineering & Response Handling Addresses challenges with AI agent responses containing extra text Demonstrates prompt engineering techniques to ensure clean JSON responses: "Please give me a list of all users and make sure you return me raw JSON" "Please don't add any extra text or formatting" Implements JSON parsing with JsonSerializerOptions for proper property mapping 5. UI Implementation Uses Razor pages to display user data in a tabular format Shows full name, email address, and phone number (excludes passwords for security) Demonstrates end-to-end data flow from storage to web interface Technical Achievements ✅ Two-way communication between web app and Azure AI Foundry ✅ Data retrieval from Azure Storage Table via MCP tools ✅ JSON response parsing with proper serialization settings ✅ Real-time data display in ASP.NET Core web application ✅ Agent prompt optimization for consistent JSON output Prerequisites Part 1 of the series (user creation functionality) Existing ASP.NET Core application with Azure AI Foundry integration MCP server with user management tools Azure Storage Table for data persistence