# macos-computer-use-mcp

> macos-computer-use-mcp — yyyyyyyyiiiii-macos-computer-use-mcp. Use this tool when you need to automate tasks on macOS or control the operating system programmatically. It provides a comprehensive set of 146 tools for AI agents to interact with macOS, covering functions such as mouse and keyboard control, window management, and app automation. This enables seamless integration and automation of macOS tasks through natural language inputs, solving problems related to workflow optimization and system control.

Canonical page: https://skillsregistry.net/skills/yyyyyyyyiiiii-macos-computer-use-mcp  
JSON: https://api.skillsregistry.net/v1/skills/yyyyyyyyiiiii-macos-computer-use-mcp

## Description

Provides 146 MCP tools for AI agents to control macOS, including screenshots, mouse, keyboard, window management, app automation, file system, OCR, and built-in app semantics like Calendar, Mail, Safari, Music, Messages. Enables full control over macOS through natural language.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/czhdt8ocae)
- **Repository:** <https://github.com/yyyyyyyyiiiii/macos-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": "yyyyyyyyiiiii-macos-computer-use-mcp"
    }
  }
}
```

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