# perfecto-mcp

> perfecto-mcp — perfectocode-perfecto-mcp. Use this tool when you need to integrate AI testing tools with a cloud-based testing platform, solving automation and testing challenges by connecting directly to Perfecto's platform. It accepts Git inputs and outputs automated testing results, streamlining the testing process. Ideal for use cases requiring scalable and efficient testing of web and mobile applications.

Canonical page: https://skillsregistry.net/skills/perfectocode-perfecto-mcp  
JSON: https://api.skillsregistry.net/v1/skills/perfectocode-perfecto-mcp

## Description

Connect AI tools directly to Perfecto's cloud-based testing platform.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/PerfectoCode/perfecto-mcp)

## 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": "perfectocode-perfecto-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/perfectocode-perfecto-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/perfectocode-perfecto-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