Apr 14
Loading video player...
@dotnetrealworldexample Learn how to build and deploy a Model Context Protocol (MCP) App using Azure Functions ! In this comprehensive tutorial, we go beyond standard text-based AI. You’ll learn how to create MCP servers that return rich, interactive user interfaces—like live weather widgets—directly within your AI chat . We’ll leverage the power of Azure Functions Flex Consumption, a serverless "pay-for-what-you-use" model that makes hosting your AI tools incredibly cost-effective . What you will learn in this video: Introduction to MCP Apps: Why interactive UIs are the future of AI agents compared to standard text-based tools . Project Initialization: Setting up your environment using the Azure Developer CLI (azd) and specific templates for your preferred language . Multi-Language Support: How to build using C#, Java, Python, or TypeScript . Local Development: Running your MCP server locally with VS Code and the Azurite storage emulator . AI Verification: Testing your interactive tools and rendering widgets using GitHub Copilot . Cloud Deployment: Deploying securely to Azure with a single command: azd up mcp app model context protocol azure functions serverless ai github copilot interactive ai tools azure developer cli azd rich ui ai mcp server tutorial python mcp typescript mcp azure flex consumption ai agents build mcp server microsoft azure azurite interactive weather widget #mcp #azurefunctions #modelcontextprotocol #serverless #aiagents #githubcopilot #azure #coding #programming #webdevelopment #python #typescript #java #csharp #cloudcomputing #tech #microsoft