# iphone-safari-mcp

> iphone-safari-mcp — ikatkov-iphone-safari-mcp. Use this tool when you need to automate interactions with a physically attached iPhone's Safari browser, enabling tasks such as navigation, screenshot capture, and DOM analysis. It solves problems related to mobile web testing and automation, providing inputs such as tap, type, and scroll actions, and outputs like screenshots, console logs, and network timings. Ideal for use cases requiring real-device testing without relying on Xcode, Appium, or WebDriverAgent.

Canonical page: https://skillsregistry.net/skills/ikatkov-iphone-safari-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ikatkov-iphone-safari-mcp

## Description

MCP server that drives Safari on a physically attached iPhone via Apple's safaridriver, enabling navigation, screenshots, DOM snapshots, console logs, network timings, and tap/type/scroll actions on the real device. No Xcode, Appium, or WebDriverAgent required.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/n8gn75hp78)
- **Repository:** <https://github.com/ikatkov/iphone-safari-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": "ikatkov-iphone-safari-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ikatkov-iphone-safari-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ikatkov-iphone-safari-mcp/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