# AutoMobile

> AutoMobile — kaeawc-auto-mobile. Use this tool when you need to control mobile devices programmatically, enabling automation of tasks on Android and iOS devices through natural language commands. It solves problems related to mobile testing, automation, and interaction, providing an interface that takes natural language inputs and outputs device actions via platform tools like adb and simctl. Ideal for use cases requiring automated mobile device interaction, such as testing and quality assurance.

Canonical page: https://skillsregistry.net/skills/kaeawc-auto-mobile  
JSON: https://api.skillsregistry.net/v1/skills/kaeawc-auto-mobile

## Description

An MCP server that enables AI agents to control Android and iOS devices via natural language, using platform tools like adb and simctl.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vgym4ejafq)
- **Repository:** <https://github.com/kaeawc/auto-mobile>

## 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": "kaeawc-auto-mobile"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kaeawc-auto-mobile` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kaeawc-auto-mobile/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