The Power Automate Plugin Explained: An AI Agent That Builds, Fixes, and Documents Your Flows
TL;DR: Microsoft ships a free Power Automate plugin that connects GitHub Copilot CLI or Claude Code to your real Power Automate environments. Once it is installed, you can ask an AI agent in plain English to list your flows, build new ones, make surgical edits to existing ones, diagnose failed runs, and clean up the stuff you never got around to, all without opening the flow designer.
You know that flow. The one that runs in production, that everybody depends on, and that has exactly zero error handling in it. You have been meaning to fix it for about eight months. Adding proper try and catch scopes, failure notifications, and a bit of documentation is not hard, it is just tedious, and tedious work always loses to the next urgent request.
That is the gap the Power Automate plugin fills. It is an official Microsoft plugin that plugs an AI coding agent directly into the Power Automate service, so the agent can read your flows, change them, publish them, and troubleshoot their run history. You describe what you want in a sentence, and it goes and does the work against your actual environment.
In this post you will learn what the plugin is, what it can genuinely do, why it is worth your time, how to install it, what it costs to run, and the gotchas worth knowing before you point it at a production environment.
If you would rather watch the whole thing in action, the full walkthrough is here: https://youtu.be/6OlQ3ioxoNA
What Is the Power Automate Plugin?
The Power Automate plugin is a Microsoft-published package that lets you build, edit, run, and debug Power Automate cloud flows from a Claude Code or GitHub Copilot CLI session. It lives in the microsoft/power-platform-skills repository on GitHub, alongside the canvas app and model driven app plugins you may have already installed.
Under the hood it is powered by something called the FlowAgent MCP server. MCP stands for Model Context Protocol, and the short version is that MCP is the plumbing that lets an AI agent call real systems instead of just talking about them. The plugin bundles that server as a self-contained engine with more than fifty tools inside it, so the agent has a proper API surface for Power Automate rather than a guess.
Two practical nerd notes from the documentation. First, it runs offline: there is no npm install and no remote host to stand up, it just needs Node.js 18 or newer. Second, authentication uses your local Azure CLI login, so the agent acts as you, with your permissions, in your environments. It cannot see anything you could not already see.
Why Would You Use It Instead of the Flow Designer?
The designer is great when you know exactly what you want and you are building one thing. The plugin shines somewhere else entirely: the work that is conceptually simple but painfully repetitive, and the work that requires expertise you have not built yet.
Retrofitting Error Handling You Never Got Around To
This is the headline use case, and it is the one the senior architects and developers already using it keep coming back to. Point the agent at an existing flow URL, tell it to add error handling and a failure notification, and it reads the flow, works out what could break, wraps the risky actions in scopes with run-after conditions, and publishes the result. In the video that took about five and a half minutes of agent time from a single sentence prompt.
Think about how many flows in your tenant have no error handling at all. Now think about how long it would take you to add it by hand to every one of them.
Building a Working Flow From a Description
You can describe the flow you want in a sentence or two and let the agent build it. A daily reminder that checks Planner for tasks due today and emails you a list is the kind of request it handles end to end, including asking you a clarifying question like which time zone the recurrence should use. It built the trigger, the filter, the condition, the HTML table, and the email, and the flow worked on the first test run.
This is not the same thing as the simple natural language flow builder you may have tried before. The agent iterates. It reads documentation, tries an approach, checks the result, and corrects itself, which is why it can get through genuinely complicated flows instead of only the demo-friendly ones.
Troubleshooting Runs That Failed at 2am
This is the capability people underrate. The plugin can pull run history, open a specific run, inspect the individual actions, and even drill down into a single loop iteration to find the one record that blew up. It can resubmit a run, cancel a run, cancel all running instances, and do an autonomous deep diagnosis of a failure. If you have ever scrolled through a two hundred iteration Apply to each looking for the bad row, you already know why that matters.
Documenting the Flows Nobody Documented
Descriptions and notes are one of those things everybody agrees are important and nobody writes. They matter more than ever now, because Dataverse table and column descriptions are exactly what your agents read when they try to understand your data. The same logic applies to flow action names and notes.
Let the agent write the first draft, then go read it. Reviewing words on a screen and saying yes that is right, or no let me adjust that, is a hugely easier job than staring at a blank description box. Fair warning from the video: a notes-only edit was the one request that did not work cleanly, so be specific about what you want changed.
What Can the Power Automate Plugin Actually Do?
The documentation groups the capabilities into a handful of areas. Here is the honest inventory, because the scope is wider than most people expect.
Area | What you get |
Flows | List, get, create, edit with surgical action-level changes, copy within or across environments, update, publish or disable, and delete |
Runs | Run history, run details, action details, loop iteration drill-down, cancel, cancel all, resubmit, and diagnose |
Connections | Full lifecycle create, read, update, delete and fix, plus auto-discovery and dynamic value resolution |
Authoring | Templates and scaffolding, batch deploy, preflight checks and validation, and expression help |
Beyond cloud flows | Desktop flow support for your RPA work, plus environment routing |
Which Skills Come With the Plugin?
A plugin is more than a pile of tools. It also ships skills, which are the instructions that teach the agent how to use those tools properly for a specific job. You do not have to call them by name, the agent picks the right one, but knowing they exist tells you what the plugin was designed to be good at.
Skill | What it is for |
setup | First-time prerequisite setup. Run this one first if anything feels off |
browse-flows | Browse environments and flows interactively |
create-flow | Guided flow creation where it asks you questions along the way |
build-flow | Autonomously generate a complete flow from a description |
debug-flow | Interactive debug of a failed run |
diagnose-flow | Autonomous deep diagnosis of a failed run |
manage-flows | Lifecycle work: publish, test, batch operations, inventory |
manage-desktop-flows | List and run desktop RPA flows |
route-environments | Environment resolution and routing when it lands in the wrong place |
How Do You Install It?
Easier than you are expecting. The official route is two commands inside a Claude Code or GitHub Copilot CLI session: add the marketplace with
/plugin marketplace add microsoft/power-platform-skillsThen install with
/plugin install power-automate@power-platform-skillsThere is an even lazier route that works surprisingly well. Copy the documentation page and ask the agent to install the Power Automate plugin for you using that documentation. It reads the instructions, runs the pieces, and reports back. In the video that took about a minute.
You also need Node.js 18 or newer and an Azure CLI login, since the plugin authenticates with az login plus MSAL for the connectivity endpoints. If you have already installed the canvas app or model driven app plugins from the same repository, most of that groundwork is already done.
What Does It Cost to Run?
The plugin itself is free and open on GitHub. What you spend is agent time in whatever tool you are driving it from. In the video, a full working session that listed flows, reviewed a flow, edited a flow, created a brand new flow from scratch, and attempted a documentation pass came to 191 GitHub Copilot credits. That is roughly two dollars for a chunk of work that would have eaten a good part of an afternoon by hand.
Model choice is yours, and it does affect both speed and cost. Any current frontier model will do the job. If you are not sure, leaving it on auto is a reasonable default.
What Should You Watch Out For?
A few practical things, learned the way these things are usually learned.
Pick a small environment to start. A default environment with 600 flows in it can take a very long time to enumerate. Point the agent at a smaller environment while you are kicking the tires, and use the route-environments skill if it keeps landing in the wrong one.
Trust but verify, every single time. The agent publishes real changes to real flows. Refresh the designer and look at what it did. In the video the edits held up, but checking takes ten seconds and it is the difference between a tool you can rely on and a tool you are nervous about.
Be specific with your prompts. The one request that stumbled in the video was a vague ask to add documentation to every action, which the agent could not handle as a notes-only edit. Tell it exactly what you want changed and it does much better.
Expect to wait, and be okay with that. Real work takes real time. Four to six minutes of agent runtime for a full flow build or a serious edit is normal. Go get a coffee. It is still faster than doing it yourself.
Run setup first if things feel wrong. The setup skill handles prerequisites, and skipping it is the most likely reason a first session misbehaves.
Who Gets the Most Out of This?
If you are new to Power Automate, this is the closest thing to having an architect sitting next to you. You can ask the questions you feel silly asking, like why this expression works, what this filter query is actually doing, or how error handling is supposed to be structured, and get a real answer against your own flow instead of a generic article.
If you are experienced, the value is leverage. The flows you would have built anyway get built while you work on something else, and the maintenance backlog you keep deferring becomes a prompt instead of a project. Teams already using it in production lean on it hardest for retrofitting error handling and chasing down failed runs.
And this is still early. There are sibling plugins for canvas apps and model driven apps in the same repository, which means the interesting future is pointing several of them at one problem and letting an agent build the app and the flow together as a single solution.
Frequently Asked Questions
What is the Power Automate plugin?
The Power Automate plugin is a Microsoft-published package in the microsoft/power-platform-skills GitHub repository that lets you build, edit, run, and debug Power Automate cloud flows from a Claude Code or GitHub Copilot CLI session. It is powered by the FlowAgent MCP server, which bundles more than fifty tools for working with flows, runs, and connections.
Do I need to know how to code to use it?
No. You talk to it in plain English. Requests like review this flow and add error handling, or create a flow that emails me my Planner tasks every morning at 8am, are the actual level of detail required. The only technical prerequisites are Node.js 18 or newer and an Azure CLI login, and the agent can walk you through installing the plugin itself.
Can it edit flows that already exist, or only create new ones?
It edits existing flows, and that is arguably its best trick. The documentation calls these surgical action-level edits, meaning it changes the specific action you asked about rather than rewriting the whole flow. Give it a flow URL or a flow name, describe the change, and it makes the edit and publishes it. It can also copy flows within an environment or across environments.
Is it safe to point at a production environment?
It authenticates as you, through your own Azure CLI login, so it can only touch what you could already touch. That said, it makes real changes to real flows, so treat it like any other change to production: start in a development or personal environment, review what it did in the designer before you rely on it, and test the flow afterward.
How is this different from Copilot inside the Power Automate designer?
The in-product Copilot helps you inside one flow you already have open. The plugin gives an agent tool-level access to the Power Automate service itself, so it can work across environments, iterate on its own, read run history, drill into loop iterations, manage connections, and take multiple minutes to reason through a hard problem before acting. It is a different class of task, not a different button.
Does it work with desktop flows too?
Partly. The plugin includes a manage-desktop-flows skill for listing and running desktop RPA flows. The deep authoring and debugging capability is aimed at cloud flows, so treat desktop flow support as useful but lighter.
Key Takeaways
The Power Automate plugin is a free, Microsoft-published plugin that connects GitHub Copilot CLI or Claude Code to your real Power Automate environments through the FlowAgent MCP server.
It does far more than create flows: it lists, edits, copies, publishes, disables, and deletes them, and it manages connections, run history, and desktop flows.
Retrofitting error handling into existing flows is the single highest value use case, and it takes one sentence and a few minutes instead of an afternoon.
Loop iteration drill-down, run diagnosis, resubmit, and cancel all make troubleshooting failed runs dramatically less painful than scrolling run history by hand.
Installation is two commands, or you can simply hand the agent the documentation link and ask it to install the plugin for you.
It runs offline with no npm install or remote host, needs only Node.js 18 or newer, and authenticates with your own Azure CLI login, so it operates with your permissions.
A full working session of listing, reviewing, editing, and building flows cost about 191 GitHub Copilot credits, roughly two dollars, which is excellent value for the work involved.
Give It a Try
Install the plugin, point it at a test environment, and give it the ugliest flow you own. Ask it to explain what the flow does, then ask it to add error handling. Ten minutes of that will tell you more than any article can, including this one.
And if you want help building solutions like this, fixing the flows that keep you up at night, or getting your team enabled to work this way, the team at PowerApps911 can help. Whether it is training, mentoring, or building it for you, reach out and let us build something awesome together. Just click the Contact Us button to get started.
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