# Muggle AI

> Use this tool when you need to automate quality assurance for your app's user experience, as it validates interactions and reports issues with visual evidence. Muggle AI solves problems like broken user flows and faulty interfaces by simulating real-user interactions and providing actionable feedback. It integrates with git, taking in code and outputting detailed test results with screenshots.

Canonical page: https://skillsregistry.net/skills/muggleai-muggle  
JSON: https://api.skillsregistry.net/v1/skills/muggleai-muggle

## Description

Ship quality products with AI-powered QA that validates your app's user experience — from Claude Code and Cursor to PR.

One install gives your AI coding assistant the power to vision-based QA your app like a real user would: clicking through flows, catching broken experiences, and reporting results with screenshots and evidence.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-23

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** data-analytics
- **Updated:** 2026-08-23

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/muggleai/muggle)

## 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": "muggleai-muggle"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/muggleai-muggle` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/muggleai-muggle/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