Author: Microsoft Developer - Bewertung: 4x - Views:37
What if AI agents could not only suggest Power Automate flows - but actually build, debug, optimize, and govern them for you?
In this episode of The Low Code Revolution show, we go beyond the boundaries of Copilot with real, end‑to‑end demos showing how AI agents interact directly with Power Automate using the Flow Studio MCP (Model Context Protocol) server created by John Liu and Catherine Han.
John and Catherine demonstrate how AI agents powered by Flow Studio MCP can securely access Power Platform environments, understand flow runs, apply enterprise standards and advanced patterns, fix errors, and even implement approval escalation - all using natural language.
✅ Learn more:
🔗 Flow Studio MCP - https://mcp.flowstudio.app
🔗 Flow Studio MCP Guides: Getting Started, Debug, Build, Tools, Copilot Skills - https://learn.flowstudio.app
✅ Chapter Markers:
00:00 - Introduction
01:20 - Background: why Flow Studio MCP server was built for Power Automate
02:54 - Challenges with APIs & flow visibility
06:47 - Demo 1: Listing environments and existing flows
08:42 - Demo 2: Building and testing a complex approval flow
20:22 - Demo 3: Enforcing naming conventions using enterprise standards
23:56 - Demo 4: Approval escalation and timeout patterns
27:25 - Demo 5: Debugging failed flows and proactive error handling
30:34 - Future vision: Copilot Studio + multi‑agent scenarios
31:42 - Where to get Flow Studio MCP
35:27 - Wrap‑up
✅ Resources:
Flow Studio - https://flowstudio.app
Blog - https://johnliu.net/
John Liu LinkedIn - https://www.linkedin.com/in/johnnliu/
Catherine Han LinkedIn - https://www.linkedin.com/in/catherinetzungnihan/
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