# MacWork

> MacWork — gklab-macwork. Use this tool when you need to automate tasks on macOS devices, operating any app through native interfaces and the Accessibility API. It solves problems of app automation and integration, providing a flexible solution without requiring app-specific code. Ideal for use cases involving workflow automation, testing, and integration, MacWork accepts inputs via git and outputs automated app interactions.

Canonical page: https://skillsregistry.net/skills/gklab-macwork  
JSON: https://api.skillsregistry.net/v1/skills/gklab-macwork

## Description

Open-source computer-use agent and MCP server for macOS — operates any app through the Accessibility API and native interfaces instead of screenshots. No app-specific code.

## Trust

- **Trust score (0–1):** 0.29
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/gklab/MacWork)

## 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": "gklab-macwork"
    }
  }
}
```

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