May 7
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In this tutorial, we dive deep into building a Model Context Protocol (MCP) server hosted on Azure Functions. While most MCP servers focus on data retrieval, we're pushing the boundaries by rendering rich HTML UIs directly inside AI interfaces like Claude Desktop and GitHub Copilot. What You’ll Learn Architecting MCP Servers: Understand the protocol that allows LLMs to interact with external tools and data securely. Serverless Deployment: Leverage Azure Functions for a scalable, cost-effective, and "always-ready" backend. Beyond Plain Text: Learn the techniques to pass structured HTML content, allowing your AI assistant to display interactive dashboards, charts, and custom interfaces. Tool Integration: Seamlessly connect your custom logic to Claude and Copilot to streamline your professional workflow. About CloudLearn CloudLearn is an interactive platform designed to bridge the gap between theoretical cloud knowledge and production-ready skills. We specialize in hands-on labs that focus on modern DevOps, Cloud Architecture, and AI-driven development. Whether you're prepping for Microsoft Azure certifications or building cutting-edge AI apps, CloudLearn provides the sandboxed environments and step-by-step guidance you need to master the cloud. 🧪 Get the full Hands-on Lab here: labs.cloudlearn.io/labs/az-build-interactive-mcp-apps-azure-functions (copy/paste)