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Power Automate MCP Server by Flow Studio

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
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Debug, build, and manage Power Automate cloud flows with AI agents

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "power-automate-mcp-server-by-flow-studio": {
      "command": "npx",
      "args": [
        "-y",
        "power-automate-mcp-server-by-flow-studio"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

FlowStudio MCP β€” Power Automate Skills for AI Agents

Give your AI agent the same visibility you have in the Power Automate portal β€” plus a bit more. The Graph API only returns top-level run status β€” agents can't see action inputs, loop iterations, or nested failures. FlowStudio 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 β€” unless it has MCP.

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

With FlowStudio MCP, the agent sees what you see

When you need this

  • Your agent can see that a flow failed, but not why β€” 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 β€” 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 β€” 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 seesGraph APIFlowStudio MCP
Run passed or failedYesYes
Action inputs and outputsNoYes
Error details beyond status codeNoYes
Child flow run detailsNoYes
Loop iteration dataNoYes
Flow definition (read + write)LimitedFull JSON
Resubmit / cancel runsLimitedYes
Cached flow health & failure ratesNoYes
Maker / Power Apps / connection inventoryNoYes
Governance metadata (tags, impact, owner)NoYes

Skills

SkillDescription
power-automate-mcpConnect to and operate Power Automate cloud flows β€” list flows, read definitions, check runs, resubmit, cancel
power-automate-debugStep-by-step diagnostic process for investigating failing flows
power-automate-buildBuild, scaffold, and deploy Power Automate flow definitions from scratch
power-automate-monitoringFlow health, failure rates, maker inventory, Power Apps, environment and connection counts
power-automate-governanceClassify 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 β€” 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 β€” install FlowStudio MCP for any agent
  • Build flows with AI agents β€” a worked 3-step example
  • Vibe code Power Automate β€” describe the flow, the agent builds it
  • Power Automate in VS Code β€” work on flows from your editor
  • Debug a failing flow β€” find the root cause from action-level data
  • By agent: ChatGPT Β· Claude Β· GitHub Copilot Β· Copilot Studio Β· 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:

bash
git clone https://github.com/ninihen1/power-automate-mcp-skills.git
claude --plugin-dir ./power-automate-mcp-skills

Then connect the MCP server:

Terminal
claude mcp add --transport http flowstudio https://mcp.flowstudio.app/mcp \
  --header "x-api-key: <YOUR_TOKEN>"

Get your token at mcp.flowstudio.app.

Install in Codex

Inside a Codex session, install skills directly:

Code
$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:

toml
[mcp_servers.flowstudio]
url = "https://mcp.flowstudio.app/mcp"

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

Install via skills.sh

Search for flowstudio on skills.sh, or:

Terminal
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

Terminal
npx clawhub@latest install power-automate-mcp

Install via Smithery

Terminal
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:

Terminal
claude mcp add --transport http flowstudio https://mcp.flowstudio.app/mcp \
  --header "x-api-key: <YOUR_TOKEN>"

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

toml
[mcp_servers.flowstudio]
url = "https://mcp.flowstudio.app/mcp"

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

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

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

Get your token at mcp.flowstudio.app.

Real debugging examples

These are from real production investigations, not demos.

  • Expression error in child flow β€” 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 β€” 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 β€” 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

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Power Automate MCP Server by Flow Studio

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "power-automate-mcp-server-by-flow-studio": { "command": "npx", "args": ["-y", "Power Automate MCP Server by Flow Studio"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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