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In this full tutorial, I’ll walk you through the complete workflow of creating an MCP (Model Context Protocol) server, deploying it on Azure App Service, and integrating it with AI agents using the AI Toolkit in Visual Studio Code. Whether you're a developer, AI enthusiast, or cloud architect, this video covers everything you need to: ✅ Build your MCP server ✅ Deploy it to Azure App Service  ✅ Secure and scale your server for production ✅ Connect it to AI agents for real-time tool invocation ✅ Troubleshoot, optimize, and monitor your deployment   If you're more interested in reading, then here is my detailed blog on MEDIUM

AI models are powerful, but their utility is often limited by their inability to interact with external systems efficiently. The Model Context Protocol (MCP) is designed to bridge this gap, allowing AI models to integrate seamlessly with external tools, APIs, and real-time data sources. By standardizing this interaction, MCP enables AI assistants to provide more informed, precise, and interactive responses.                                                            image generated from copilot What is MCP? MCP is an open protocol designed to improve how applications communicate context to Large Language Models (LLMs) . It allows AI models to access relevant information from external sources dynamically, reducing reliance on static training data and enhancing responsiveness. MCP supports multiple interaction method...