Power Automate MCP Server by Flow Studio

Name: Power Automate MCP Server by Flow Studio
Author: ninihen1

by ninihen1version 1.0.0i★ –iRuns in the cloud

Registry nameio.github.ninihen1/flowstudio-mcp

Install

Overview

Description from the maker (original English)

Debug, build, and manage Power Automate cloud flows with AI agents

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs in the cloud
Transport: Streamable HTTP
Category: Other
You need to fill in: x-api-key

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on the maker’s server: what you ask it goes through their server.
You fill in yourself: x-api-key

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Run this in your terminal

claude mcp add --transport http flowstudio https://mcp.flowstudio.app/mcp --header 'x-api-key: your-value'

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "flowstudio": {
      "url": "https://mcp.flowstudio.app/mcp",
      "headers": {
        "x-api-key": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "flowstudio": {
      "type": "http",
      "url": "https://mcp.flowstudio.app/mcp",
      "headers": {
        "x-api-key": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

x-api-key secret required HTTP header
Flow Studio MCP API key (get one at https://mcp.flowstudio.app)

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account ninihen1, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
… Not checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
… Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Otheri

More stars than 0% of the other 32655 servers in this category
Published to the registry more recently than 5% of the other 32655 servers in this category
Basic checks equal to or better than 100% of the other 32655 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Power Automate MCP Server by Flow Studio safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: x-api-key

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 7 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, SuperCollider

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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. FlowStudio MCP exposes all of it.

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

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 FlowStudio 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	FlowStudio 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

Skill	Description
`power-automate-mcp`	Connect to and operate Power Automate cloud flows — list flows, read definitions, check runs, resubmit, cancel
`power-automate-debug`	Step-by-step diagnostic process for investigating failing flows
`power-automate-build`	Build, scaffold, and deploy Power Automate flow definitions from scratch
`power-automate-monitoring`	Flow health, failure rates, maker inventory, Power Apps, environment and connection counts
`power-automate-governance`	Classify flows by impact, detect orphans, audit connectors, manage notifications, compute archive scores

The first three skills use live Power Automate API calls. The monitoring and governance skills use the cached store — a daily snapshot with aggregated stats, remediation hints, and governance metadata. Requires a FlowStudio for Teams or MCP Pro+ subscription for store tools.

Each skill follows the Agent Skills specification and works with any compatible agent.

Supported agents

Copilot, Claude Code, ChatGPT, Codex, OpenClaw, Gemini CLI, Cursor, Goose, Amp, OpenHands

Guides

Full walkthroughs on learn.flowstudio.app:

Getting started — install FlowStudio MCP for any agent
Build flows with AI agents — a worked 3-step example
Vibe code Power Automate — describe the flow, the agent builds it
Power Automate in VS Code — work on flows from your editor
Debug a failing flow — find the root cause from action-level data
By agent: ChatGPT · Claude · GitHub Copilot · Copilot Studio · Codex

Quick Start

Connect from ChatGPT or claude.ai

Sign in with your Microsoft account instead of pasting a key. Add https://mcp.flowstudio.app/mcp/oauth as a connector in ChatGPT (Developer mode on) or at claude.ai, then follow the sign-in prompt. Walkthrough: ChatGPT for Power Automate.

Install as Claude Code plugin

Available through the Claude plugin marketplace after approval. To test locally:

git clone https://github.com/ninihen1/power-automate-mcp-skills.git

claude --plugin-dir ./power-automate-mcp-skills

Then connect the MCP server:

claude mcp add --transport http flowstudio https://mcp.flowstudio.app/mcp \

--header "x-api-key: "

Get your token at mcp.flowstudio.app.

Install in Codex

Inside a Codex session, install skills directly:

$skill-installer install https://github.com/ninihen1/power-automate-mcp-skills/tree/main/skills/power-automate-mcp

$skill-installer install https://github.com/ninihen1/power-automate-mcp-skills/tree/main/skills/power-automate-debug $skill-installer install https://github.com/ninihen1/power-automate-mcp-skills/tree/main/skills/power-automate-build $skill-installer install https://github.com/ninihen1/power-automate-mcp-skills/tree/main/skills/power-automate-monitoring $skill-installer install https://github.com/ninihen1/power-automate-mcp-skills/tree/main/skills/power-automate-governance

Then connect the MCP server in ~/.codex/config.toml:

[mcp_servers.flowstudio]

url = "https://mcp.flowstudio.app/mcp"

[mcp_servers.flowstudio.http_headers] x-api-key = " "

Install via skills.sh

Search for flowstudio on skills.sh, or:

npx skills add github/awesome-copilot -s flowstudio-power-automate-mcp

npx skills add github/awesome-copilot -s flowstudio-power-automate-debug npx skills add github/awesome-copilot -s flowstudio-power-automate-build npx skills add github/awesome-copilot -s flowstudio-power-automate-monitoring npx skills add github/awesome-copilot -s flowstudio-power-automate-governance

Install via ClawHub

npx clawhub@latest install power-automate-mcp

Install via Smithery

npx smithery skill add flowstudio/power-automate-mcp

Manual install

Copy the skill folder(s) into your project's .github/skills/ directory (or wherever your agent discovers skills).

Connect the MCP server

Claude Code:

claude mcp add --transport http flowstudio https://mcp.flowstudio.app/mcp \

--header "x-api-key: "

Codex (~/.codex/config.toml):

[mcp_servers.flowstudio]

url = "https://mcp.flowstudio.app/mcp"

[mcp_servers.flowstudio.http_headers] x-api-key = " "

Copilot / VS Code (.vscode/mcp.json):

"servers": { "flowstudio": { "type": "http", "url": "https://mcp.flowstudio.app/mcp", "headers": { "x-api-key": " " } } } }

Get your token at mcp.flowstudio.app.

Real debugging examples

These are from real production investigations, not demos.

[Expression error in child flow](examples/fix-expression-error.md) — contains(string(...)) crashed on a nested property. Agent traced through parent flow, into child, through loop iterations, and found the failing input. Portal showed "ExpressionEvaluationFailed" with no context.

[Data entry, not a flow bug](examples/data-not-flow.md) — User reported two "bugs" back to back. Agent proved both were data entry errors (missing comma in email, single address in CC field). Flow was correct. Diagnosed in seconds.

[Null value crashes child flow](examples/null-child-flow.md) — split(Name, ', ') crashed when 38% of records had null Names. Agent traced parent to child to loop to action, found the root cause, and deployed a fix via update_live_flow.

Prerequisites

A FlowStudio MCP subscription (all live tools)
For store tools (monitoring, governance): FlowStudio for Teams or MCP Pro+
MCP endpoint: https://mcp.flowstudio.app/mcp
API key / JWT token (passed as x-api-key header)

Repository structure

skills/

power-automate-mcp/ core connection & operation skill power-automate-debug/ debug workflow skill power-automate-build/ build & deploy skill power-automate-monitoring/ flow health & tenant inventory skill power-automate-governance/ compliance & governance skill examples/ real debugging walkthroughs README.md LICENSE MIT

Available on GitHub

Works with Copilot, Claude, ChatGPT, and any MCP-compatible agent.

awesome-copilot (merged)
skills.sh (3K+ installs)
Smithery (published)
ClawHub (v1.1.0)

Contributing

Contributions welcome. Each skill folder must contain a SKILL.md with the required frontmatter. See the existing skills for the format.

License

MIT

Keywords: Power Automate debugging, flow run history, expression evaluation failed, child flow failure, nested action errors, loop iteration output, agent automation MCP, Power Platform AI, flow definition deploy, resubmit failed run, flow monitoring, governance, CoE, orphan detection, connector audit, archive score, maker inventory

Power Automate MCP Server by Flow Studio

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

SuperCollider

README from the maker

FlowStudio MCP — Power Automate Skills for AI Agents

When you need this

Graph API vs FlowStudio MCP

Skills

Supported agents

Guides

Quick Start

Connect from ChatGPT or claude.ai

Install as Claude Code plugin

Install in Codex

Install via skills.sh

Install via ClawHub

Install via Smithery

Manual install

Connect the MCP server

Real debugging examples

Prerequisites

Repository structure

Available on GitHub

Contributing

License