# cua-local

> cua-local — uxnew-cua-local. Use this tool when you need to control a Mac remotely through AI assistants, as it provides a local bridge to observe screen state and perform actions like mouse movement and typing. It solves problems of automated Mac interaction, allowing for seamless integration with AI agents. The tool accepts screen state inputs and outputs actions such as mouse clicks, keystrokes, and URL openings.

Canonical page: https://skillsregistry.net/skills/uxnew-cua-local  
JSON: https://api.skillsregistry.net/v1/skills/uxnew-cua-local

## Description

Provides a local MCP bridge for AI assistants to control a Mac by observing screen state and performing actions like mouse movement, clicking, typing, and opening URLs.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e7xrztj42e)
- **Repository:** <https://github.com/uxnew/cua-local>

## 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": "uxnew-cua-local"
    }
  }
}
```

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