Model Context Protocol (MCP) is quickly becoming one of the most exciting developments in AI with far-reaching impacts. It allows AI agents to connect directly to your business workflows and external systems all with no complicated middleware or SDKs required. With...
Have you ever wanted to build your own AI image generator—one that you completely control from end to end? With Azure Logic Apps and Google Gemini, you can do just that. In this post, I’ll walk you through a complete AI workflow that uses Logic Apps to call Gemini’s...
Google Gemini is one of the most advanced large language models available today — capable of generating text, code, and insights at lightning speed. The best part? You can now access Google Gemini’s API completely free using Google AI Studio. In this post, I’ll walk...
What if you could create a fully functional conversational agent without writing a single line of code? Using Azure Logic Apps, that’s possible! In this post, I’ll walk you through how I built a conversational agent—starting from a blank Standard Edition Logic App,...
Why Expose Logic Apps as MCP Servers? Many organizations already use Azure Logic Apps — from order management to integrations with third-party systems. But what if you could take that existing logic and make it available to AI agents like ChatGPT or Copilot inside VS...
