# Screen Capture

> Use this tool when you need to capture and analyze screen content for AI-assisted workflows, solving problems such as visual data reference and analysis. It takes screenshots as input and outputs compressed WebP images under 500KB, accessible through a resource endpoint or custom save paths. Ideal for use cases where AI assistants require visual context, such as image recognition or user interface analysis.

Canonical page: https://skillsregistry.net/skills/syedazharmbnr1-screen-capture  
JSON: https://api.skillsregistry.net/v1/skills/syedazharmbnr1-screen-capture

## Description

ClaudeMCPServer provides screen capture capabilities for AI assistants through the Model Context Protocol. This Python-based implementation uses PyAutoGUI to take screenshots, automatically compresses images to WebP format under 500KB through dynamic quality adjustment and resizing, and exposes both a resource endpoint for retrieving current screen content and a tool for capturing screens with optional custom save paths. The server can be configured through environment variables and includes robust error handling and logging, making it ideal for workflows where AI assistants need to analyze or reference what's currently on the user's screen.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/syedazharmbnr1-screen-capture)
- **Repository:** <https://github.com/syedazharmbnr1/claudemcpserver>

## 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": "syedazharmbnr1-screen-capture"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/syedazharmbnr1-screen-capture` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/syedazharmbnr1-screen-capture/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