# iOS Simulator

> Use this tool when you need to interact with iOS simulators programmatically, creating and controlling virtual devices for testing and automation purposes. It solves problems related to dynamic iOS testing and simulation, providing a robust interface for managing sessions and selecting device and OS versions. With inputs for device and OS configuration, it outputs a controlled iOS simulator environment, ideal for AI-driven testing scenarios and automation workflows.

Canonical page: https://skillsregistry.net/skills/atom2ueki-ios-simulator  
JSON: https://api.skillsregistry.net/v1/skills/atom2ueki-ios-simulator

## Description

A TypeScript-based MCP server for interacting with iOS simulators, built using the Appium iOS Simulator library. Provides a robust session management approach for creating, booting, and controlling iOS simulators programmatically, with flexible device and OS version selection. Useful for AI assistants and testing scenarios that require dynamic iOS simulator interactions.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/atom2ueki-ios-simulator)
- **Repository:** <https://github.com/atom2ueki/mcp-server-ios-simulator>

## 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": "atom2ueki-ios-simulator"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/atom2ueki-ios-simulator` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/atom2ueki-ios-simulator/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
