# ios-sim-mcp

> ios-sim-mcp — rmathew1973-ios-sim-mcp. Use this tool when you need to interact with iOS Simulator UI elements programmatically, enabling use cases like automated testing and interactive learning. It solves problems of latency and element identification by providing stable references and accessibility-tree snapshots. The tool accepts input commands and outputs UI element inspections, allowing for fast and reliable interaction with the simulator at sub-200ms latency.

Canonical page: https://skillsregistry.net/skills/rmathew1973-ios-sim-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rmathew1973-ios-sim-mcp

## Description

MCP server that drives the iOS Simulator via accessibility-tree snapshots with stable element refs, enabling LLMs to interactively find, tap, type, and inspect UI elements at sub-200ms latency.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/faoi70re8i)
- **Repository:** <https://github.com/rmathew1973/ios-sim-mcp>

## 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": "rmathew1973-ios-sim-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rmathew1973-ios-sim-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rmathew1973-ios-sim-mcp/pull`

---
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