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This will absolutely transform the MCP ecosystem forever.

Microsoft just released a new feature that makes creating MCP servers easier than ever before.

Now with Logic Apps as MCP servers -- you can easily extend any AI agent with extra data and context without writing even a single line of code.

String together thousands of tools and give any LLM access to all the data flowing through them.

From databases and APIs to Slack, GitHub, Salesforce, you name it. Thousands of connectors are already there.

Now you can plug a whole new world of prebuilt integrations straight into your AI workflows.

Until now, hooking an LLM or agent up to a real-world workflow was painful. You had to write API clients, handle OAuth tokens, orchestrate multiple steps… it was a lot.

With Logic Apps as MCP servers, all that heavy lifting is already done. Your agent can call one MCP tool, and under the hood Logic Apps will ping APIs, transform data, or trigger notifications across your services.

You can wire up a Logic App that posts to social media, updates a database, or sends you alerts, and then call it from your AI app. No new server, no SDK headaches.

Microsoft’s MCP implementation even supports streaming HTTP and (with some setup) Server-Sent Events. That means your agent can get partial results in real time as Logic Apps run their workflows — great for progress updates or long-running tasks.

Because it’s running inside Azure, you get enterprise-grade authentication, networking, and monitoring. Even if you’re small now, this matters when you scale or if you’re dealing with sensitive data.

What can you do right now

  • Build a Logic App that starts with an HTTP trigger and ends with a Response action.

  • Flip on the MCP endpoint option in your Logic App’s settings.

  • Register your MCP server in Azure API Center so agents can discover it.

  • Point your AI agent to your new MCP endpoint and start calling it like any other tool.

Boom — your no-code workflow is now an AI-callable tool.

Some ideas to get you started

  • Personal Dashboard: Pull data from weather, GitHub, and your to-do list, and serve it to your AI bot in one call.

  • Social Blast:

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