# Screenshot

> Use this tool when you need to visually troubleshoot technical issues or provide context during assistance. It captures and analyzes screenshots from a user's desktop, allowing AI systems to interact with visual content through a simple interface. The Screenshot tool is particularly useful for scenarios where text-only communication is insufficient, providing a more comprehensive understanding of the user's environment.

Canonical page: https://skillsregistry.net/skills/screenshot  
JSON: https://api.skillsregistry.net/v1/skills/screenshot

## Description

Screenshot Server enables AI assistants to capture and analyze screenshots from a user's desktop through the MCP protocol. Built with Python using PyAutoGUI, it provides a simple interface for taking screenshots on demand, allowing AI systems to see what's on a user's screen without requiring them to manually upload images. This implementation is particularly useful for troubleshooting technical issues, providing visual context during assistance, or enabling AI to interact with visual content that would otherwise be inaccessible through text-only communication.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/screenshot)
- **Repository:** <https://github.com/m-mcp/screenshot-server>

## 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": "screenshot"
    }
  }
}
```

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