power-automate-mcp-skills

MCP.Pizza Chef: ninihen1

This server lets your AI assistant access and control Power Automate cloud flows with full detail. Unlike standard tools that only show if a flow passed or failed, it reveals every step's inputs, outputs, and errors. You can debug flows, build new ones, monitor health, and audit governance data—all from apps like Cursor, VS Code, or Claude Code. It requires a FlowStudio MCP subscription and an API key, with setup done by copying configuration into your AI app.

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Use This MCP server To

See detailed inputs and outputs for each step in a flow run Diagnose and fix errors in failing Power Automate flows Create and deploy new Power Automate flows programmatically Monitor flow health and failure rates across my organization Audit and classify flows by impact and ownership Detect orphaned resources and audit connectors at scale

README

FlowStudio MCP — Power Automate Skills for AI Agents

Give your AI agent the same visibility you have in the Power Automate portal — plus a bit more. The Graph API only returns top-level run status — agents can't see action inputs, loop iterations, or nested failures. Flow Studio MCP exposes all of it.

Agent debugging a Power Automate flow via MCP

You can click through the portal and find the root cause. Your agent can't — unless it has MCP.

The portal shows everything to a human — but agents only see the top-level error via Graph API

With Flow Studio MCP, the agent sees what you see

When you need this

  • Your agent can see that a flow failed, but not why — Graph API only returns status codes
  • You want your agent to see action-level inputs and outputs, like you can in the portal
  • A loop has hundreds of iterations and some produced bad output — in the portal you'd click through each one, but the agent can scan all iteration inputs and outputs at once
  • You want to check flow health, failure rates, and maker activity across your tenant without opening the admin center
  • You need to classify flows, detect orphaned resources, or audit connectors at scale — without installing the CoE Starter Kit
  • You're tired of being the middle-man between your agent and the portal

Graph API vs Flow Studio MCP

The core difference: Graph API gives your agent run status. MCP gives your agent the inputs and outputs of every action.

What the agent sees Graph API Flow Studio MCP
Run passed or failed Yes Yes
Action inputs and outputs No Yes
Error details beyond status code No Yes
Child flow run details No Yes
Loop iteration data No Yes
Flow definition (read + write) Limited Full JSON
Resubmit / cancel runs Limited Yes
Cached flow health & failure rates No Yes
Maker / Power Apps / connection inventory No Yes
Governance metadata (tags, impact, owner) No Yes

Skills

power-automate-mcp-skills FAQ

Can I use this to debug why a Power Automate flow failed?
Yes — it shows detailed action inputs, outputs, and errors beyond status codes, unlike the standard Graph API.
Can I use this to build and deploy Power Automate flows from scratch?
Yes — it supports creating, scaffolding, and deploying flow definitions programmatically.
Which apps can I use this with?
It works with Cursor, VS Code, Goose, Claude Code, Codex, and other compatible AI agents.
Do I need an API key or account to use this?
Yes — you need a FlowStudio MCP subscription and an API key to connect to the MCP server.
How hard is it to set up?
Setup involves copying and pasting configuration snippets into your app settings, so it's moderately easy for non-developers.
Can I monitor flow health and governance across my tenant?
Yes — it provides cached stats, failure rates, and governance metadata without opening the admin center.