# Power Automate MCP Server by Flow Studio

> Use this tool when you need to debug, build, and manage Power Automate cloud flows with AI agents, solving workflow automation and integration challenges. It takes in cloud flow designs and AI inputs, producing optimized and automated workflows as output. Ideal for use in workflow automation, integration, and management contexts.

Canonical page: https://skillsregistry.net/skills/io-github-ninihen1-flowstudio-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-ninihen1-flowstudio-mcp

## Description

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

## Trust

- **Trust score (0–1):** 0.76
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.ninihen1%2Fflowstudio-mcp)
- **Repository:** <https://github.com/ninihen1/power-automate-mcp-skills>

## Use it

MCP endpoint published by the skill: `https://mcp.flowstudio.app/mcp`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "io-github-ninihen1-flowstudio-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-ninihen1-flowstudio-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-ninihen1-flowstudio-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt