# Computer Control

> Use this tool when you need to automate desktop tasks or enable AI systems to interact with graphical user interfaces. It provides capabilities for controlling mouse and keyboard input, taking screenshots, performing OCR, and managing windows, allowing for seamless automation of computer tasks. Ideal for use cases requiring direct interaction with desktop applications, such as data entry or workflow automation.

Canonical page: https://skillsregistry.net/skills/ab498-computer-control  
JSON: https://api.skillsregistry.net/v1/skills/ab498-computer-control

## Description

Computer Control MCP provides computer automation capabilities through a server that enables AI assistants to control mouse movements, keyboard input, take screenshots, perform OCR, and manage windows. Built with PyAutoGUI, RapidOCR, and ONNXRuntime, it offers similar functionality to Anthropic's 'computer-use' tool but with zero external dependencies. The implementation supports operations like clicking, typing, dragging, capturing screen content with text recognition, and window management, making it particularly useful for automating desktop tasks and enabling AI systems to interact directly with graphical user interfaces.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ab498-computer-control)
- **Repository:** <https://github.com/ab498/computer-control-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": "ab498-computer-control"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ab498-computer-control` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ab498-computer-control/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