Jan 16
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What if you could connect your AI agents directly to Azure Logic Apps — no extra code, no API gateways? In this video, I’ll show you how to turn a Logic App workflow into a fully functional Model Context Protocol (MCP) Server that automatically generates AI images using Google Gemini. You’ll learn how to: ✅ Deploy an AI workflow to Azure Logic Apps ✅ Configure your host settings to enable MCP endpoints ✅ Connect your Logic App to VS Code or other AI agents (like ChatGPT or Claude) ✅ Use parameters like creativity level and aspect ratio for dynamic image generation ✅ Return downloadable image results directly from the workflow This hands-on tutorial is perfect for developers exploring agentic automation, MCP servers, or AI-driven workflows inside Azure. 📦 Resources Mentioned: Download the workflow & parameters file → https://www.stephenwthomas.com/azure-integration-thoughts/how-to-build-your-first-mcp-server-with-azure-logic-apps-and-google-gemini-step-by-step-guide/ Create your free Google Gemini API → https://youtu.be/-yzjAoWtOxA 💡 Try it yourself! Expose any Logic App workflow as an MCP server and make it callable directly from your favorite AI agent — all in just a few minutes. 0:00 Introduction to Model Context Protocol (MCP) and Azure Logic Apps 0:51 Overview of AI Image Generator MCP Server 1:20 Defining Parameters and Workflow in VS Code 2:03 Deploying to Azure Environment 3:03 Configuration in Azure Portal 5:00 Exposing Workflow as MCP Server 5:47 Adding MCP Server to VS Code 7:09 Testing AI Image Generation 8:53 Conclusion and Best Practices 📢 Subscribe to the channel for more valuable content! 💬 Leave a comment with your thoughts or integration experiences—let’s discuss! 🔍 Want more? Check out my full learning path here: https://www.StephenWThomas.com #AzureLogicApps #MCPServer #ModelContextProtocol #AIWorkflow #GoogleGemini #AzureAI #AgenticAI #AIAutomation #AzureIntegration #StephenWThomas #AzureDevelopers