# Computer Use

> Use this tool when you need to automate interactions with desktop environments, such as taking screenshots or simulating user input. It solves problems related to automating tasks on Linux and Windows platforms, enabling AI assistants to control the mouse and keyboard programmatically. It accepts commands as input and outputs automated interactions with the desktop environment, making it ideal for use cases that require programmatic control of desktop applications.

Canonical page: https://skillsregistry.net/skills/felipethecosta-computer-use  
JSON: https://api.skillsregistry.net/v1/skills/felipethecosta-computer-use

## Description

Computer Use is an MCP server that provides computer use automation capabilities across Linux (X11) and Windows platforms. It exposes tools for taking screenshots, controlling the mouse, and simulating keyboard input, enabling AI assistants to interact with desktop environments programmatically. Supports both X11-based Linux systems and native Windows automation.

## 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:** other
- **Updated:** 2026-09-02

## Source

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

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