# Flow Studio - Power Automate MCP Server

> Use this tool when you need to debug, build, and manage Microsoft Power Automate cloud flows with precision and automation. It solves problems such as error identification, flow creation, and multi-tenant management, providing action-level error details and natural language flow building capabilities. With an API key, it offers a seamless interface for triggering and resubmitting runs, making it ideal for streamlining workflow automation across multiple tenants.

Canonical page: https://skillsregistry.net/skills/ninihen1-power-automate-mcp-skills  
JSON: https://api.skillsregistry.net/v1/skills/ninihen1-power-automate-mcp-skills

## Description

Debug, build, and manage Microsoft Power Automate cloud flows with AI agents. Get action-level error details, build flows from natural language, trigger and resubmit runs, and operate across multiple tenants. Requires a Flow Studio MCP subscription — get an API key at https://mcp.flowstudio.app

## Trust

- **Trust score (0–1):** 0.74
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/toi7fbu0ny)
- **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-power-automate-mcp-skills"
    }
  }
}
```

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