# MacWright

> Use this tool when you need to control and interact with macOS desktop environments from AI agents, providing reliable and native access to various functionalities such as screenshots, mouse and keyboard input, and window management. It solves problems related to automating tasks, testing, and integration with macOS systems, offering 72 tools for customized control. With inputs for specific commands and outputs for execution results, MacWright is ideal for use cases requiring automated desktop interactions.

Canonical page: https://skillsregistry.net/skills/ruchit-p-macwright  
JSON: https://api.skillsregistry.net/v1/skills/ruchit-p-macwright

## Description

An MCP server for reliable native macOS desktop control from AI agents, providing 72 tools for screenshots, mouse, keyboard, scroll, clipboard, window management, and more.

## Trust

- **Trust score (0–1):** 0.83
- **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:** [Glama](https://glama.ai/mcp/servers/hx9pw7edij)
- **Repository:** <https://github.com/ruchit-p/macwright>

## 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": "ruchit-p-macwright"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ruchit-p-macwright` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ruchit-p-macwright/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