# Screen View MCP

> Use this tool when you need to analyze and understand visual content on desktop interfaces, such as UI elements and layouts. It captures and processes screenshots using the Claude Vision API, providing AI-powered insights to inform decision-making. Ideal for use cases requiring automated visual analysis, such as quality assurance, user experience testing, or content moderation.

Canonical page: https://skillsregistry.net/skills/hemenge133-screen-view-mcp  
JSON: https://api.skillsregistry.net/v1/skills/hemenge133-screen-view-mcp

## Description

Enables AI assistants to capture and analyze screenshots using Claude Vision API, providing AI-powered insights about desktop interface content, UI elements, and visual layouts.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/j6pamfy2yx)
- **Repository:** <https://github.com/hemenge133/screen-view-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": "hemenge133-screen-view-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hemenge133-screen-view-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hemenge133-screen-view-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
