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Power Automate MCP Server by Flow Studio logo

Power Automate MCP Server by Flow Studio

Inspect, debug, build, monitor, and govern Power Automate cloud flows through agent-accessible MCP skills.

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Install Power Automate MCP Server by Flow Studio

Pick your client, then add it in one click or paste the config.

STDIONode.js
~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "power-automate-mcp-server-by-flow-studio": {
      "command": "npx",
      "args": [
        "-y",
        "clawhub@latest"
      ]
    }
  }
}

Settings → Developer → Edit Config, merge this into mcpServers, then fully quit and reopen Claude Desktop.

We couldn’t confirm it starts correctly

We ran the install command but it didn't respond within our test window — this can mean a slow first-time install rather than a real problem.

npx -y clawhub@latest

No response to initialize.

This is an experimental automated check and can have false negatives — missing environment variables, a slow cold install, etc. It doesn’t necessarily mean something’s wrong. Last checked 5d ago.

Overview

Power Automate MCP Server by Flow Studio MCP server connects AI agents to Power Automate cloud flows through a hosted MCP endpoint. It exposes live flow operations such as listing flows, reading definitions, inspecting action-level run data, resubmitting runs, and cancelling runs. Separate monitoring and governance skills query a cached daily store for health, inventory, failure, and governance information. Reach for it when top-level Graph API status is insufficient for diagnosing failures, inspecting loops, or managing flows at scale.

Use cases

  • Trace failed flow runs to action inputs, outputs, and nested errors
  • Build and deploy Power Automate flow definitions from agent instructions
  • Review loop iterations and child-flow execution details
  • Monitor flow health, failures, makers, environments, and connections
  • Audit connectors and identify orphaned or high-impact flows

Key features

  • Action-level inputs and outputs for flow runs
  • Read and write access to flow definitions
  • Run resubmission and cancellation
  • Flow building, scaffolding, and deployment
  • Cached monitoring and governance analysis
  • Loop, child-flow, and nested-failure inspection

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked 2d ago

Recent health check succeeded.

5/5 checks healthy over the last 39d

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 12d ago via OSV.dev · clawhub@latest (npm)

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars34Stargazers on the source repository.
npm downloads157kPackage downloads in the last 30 days.
Last commit1mo agoMost recent push to the default branch.
Install checkInconclusiveDidn't respond in our test window — often a slow first install.
Directory activity1 viewsConfig copies, upvotes, and views on AllMCPs.

How Power Automate MCP Server by Flow Studio works

What Power Automate MCP Server by Flow Studio MCP server does

Power Automate MCP Server by Flow Studio MCP server gives compatible AI agents access to Power Automate cloud flow data and operations. It is designed for work that normally requires navigating the Power Automate portal, including tracing failures into individual actions, examining nested runs, and reviewing loop iterations.

The repository organizes its capabilities into five skills:

  • power-automate-mcp handles core flow access and operations.
  • power-automate-debug provides a structured process for investigating failed runs.
  • power-automate-build helps create, scaffold, and deploy flow definitions.
  • power-automate-monitoring reports health, failure rates, and inventory information.
  • power-automate-governance supports classification, orphan detection, connector audits, notifications, and archive-score calculations.

How it works

The server uses a hosted HTTP MCP endpoint at https://mcp.flowstudio.app/mcp. Agents authenticate with a FlowStudio token supplied as an x-api-key header, or through Microsoft sign-in when connecting from ChatGPT or claude.ai using the OAuth endpoint.

The core, debugging, and build skills make live Power Automate API calls. They can expose action inputs and outputs, error context, child-flow details, and loop iteration data that are not available through top-level run status alone. Flow definitions can be read and written, and runs can be resubmitted or cancelled.

Monitoring and governance use a cached store instead of live calls. Store-based tools require a FlowStudio for Teams or MCP Pro+ subscription.

Setup and configuration

Claude Code can load the repository locally as a plugin, then connect to the hosted server with claude mcp add --transport http. Codex uses an entry in ~/.codex/config.toml, while VS Code or Copilot can define the server in .vscode/mcp.json. The repository also documents installation through skills.sh, ClawHub, Smithery, manual skill-folder copying, and direct skill installation in Codex.

Power Automate MCP Server by Flow Studio MCP server requires a token for the documented HTTP connection. The token is obtained from mcp.flowstudio.app and passed in the x-api-key header. ChatGPT and claude.ai can instead use the documented OAuth connector flow with Microsoft account sign-in.

Tools and capabilities

For flow operations, agents can list flows, inspect and modify definitions, review runs, and control run execution. Debugging can follow a failure through parent and child flows, nested actions, and iterations. Build support covers creating definitions from scratch and deploying them.

The monitoring skill covers flow health, failure rates, makers, Power Apps, environments, and connections. Governance adds impact classification, orphaned-resource detection, connector auditing, notification management, and archive scoring. The README also identifies inventory and metadata such as owners, tags, and impact information in the cached governance data.

Limitations and notes

Live API access and cached-store access are separate operating modes, so monitoring and governance data may reflect the daily snapshot rather than current live state.

Compatibility depends on an MCP-capable agent. The repository names Claude Code, ChatGPT, Codex, OpenClaw, Gemini CLI, Cursor, Goose, Amp, OpenHands, Copilot, and claude.ai. The supplied setup examples specifically show Claude Code, Codex, ChatGPT, claude.ai, and VS Code or Copilot connections.

Read the full README View source on GitHub

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Frequently Asked Questions about Power Automate MCP Server by Flow Studio

Power Automate MCP Server by Flow Studio is an MCP server that connects AI agents to Power Automate cloud flows. Its main tools list flows, read and write definitions, inspect action-level run data, debug failures, build flows, resubmit or cancel runs, and query cached monitoring and governance information.

Install the repository skills through Claude Code, Codex, skills.sh, ClawHub, Smithery, or manual skill-folder copying, then connect to the hosted HTTP endpoint. The documented endpoint is `https://mcp.flowstudio.app/mcp`, authenticated with an `x-api-key` token.

Yes, Cursor is listed among the supported agents.

The server also provides child-flow details, loop iteration data, and additional error context for diagnosing the underlying failure.

No, monitoring and governance use a cached daily snapshot rather than the live API calls used by the core, debugging, and build skills. Access to those store tools requires a FlowStudio for Teams or MCP Pro+ subscription.

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