# Screenshot Analyzer MCP

> Use this tool when you need to identify and fix UI/UX issues in app screenshots, or compare design implementations across various platforms. The Screenshot Analyzer MCP analyzes single or batch screenshots, providing actionable fixes and automated reports for iOS, Android, web, and desktop applications. It is ideal for use cases where design consistency and usability are crucial, such as during app development, testing, or redesign phases.

Canonical page: https://skillsregistry.net/skills/sasuke-inu-ui-screenshot-android-review-openai  
JSON: https://api.skillsregistry.net/v1/skills/sasuke-inu-ui-screenshot-android-review-openai

## Description

Analyzes app screenshots to identify UI/UX issues, compare designs with implementations, and provide actionable fixes using GPT-4o/GPT-5.2 vision capabilities. Supports single/batch analysis, design comparison, and automated report generation for iOS, Android, web, and desktop platforms.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/irzicmaqs5)
- **Repository:** <https://github.com/Sasuke-inu/UI-Screenshot-Android-Review-OpenAI>

## 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": "sasuke-inu-ui-screenshot-android-review-openai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sasuke-inu-ui-screenshot-android-review-openai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sasuke-inu-ui-screenshot-android-review-openai/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