# Flow Studio

> Use this tool when you need to debug, build, and manage Microsoft Power Automate cloud flows, solving workflow automation and integration challenges. It provides a platform for AI agents to interact with cloud flows, accepting a Flow Studio API key as input and returning managed workflow outputs. Ideal for use cases requiring automated workflow management and optimization.

Canonical page: https://skillsregistry.net/skills/ninihen1-flow-studio  
JSON: https://api.skillsregistry.net/v1/skills/ninihen1-flow-studio

## Description

Provides tools for working with Microsoft Power Automate cloud flows through the Flow Studio platform. Enables AI agents to debug, build, and manage cloud flows. Requires a Flow Studio API key from mcp.flowstudio.app.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ninihen1-flow-studio)
- **Repository:** <https://github.com/ninihen1/power-automate-mcp-skills>

## Use it

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": "ninihen1-flow-studio"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ninihen1-flow-studio` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ninihen1-flow-studio/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