icemoon-mcp
Control real iPhones from Claude through MCP, enabling AI to read screens, plan multi-step tasks, and execute human-like touch gestures on stock iOS devices without jailbreak.
README
Icemoon MCP Server — control real iPhones from Claude
Give your AI hands. Icemoon exposes physical iPhones to Claude (and any MCP-compatible client) through a local Model Context Protocol server. The AI reads the device screen, plans multi-step tasks, and executes them with human-like touch — on stock iOS, no jailbreak.
This repository is the official documentation and integration reference for the MCP server that ships inside the Icemoon app. The server itself is bundled with the app (commercial, closed source); everything you need to connect it to your MCP client is documented here.
Website: icemoon.app · MCP overview: icemoon.app/mcp · Install guide: icemoon.app/install
What it does
┌────────────┐ MCP (stdio) ┌──────────────────┐ USB ┌────────────┐
│ Claude │ ◄─────────────────► │ Icemoon MCP │ ◄──────────► │ iPhone(s) │
│ (or any │ │ server + app │ │ stock iOS │
│ MCP client)│ │ on your Mac │ │ │
└────────────┘ └──────────────────┘ └────────────┘
- Sees the screen as structure, not pixels — real UI elements (buttons, labels, text fields) with identifiers and coordinates.
- Touches like a hand, not a script — every swipe follows a unique Bezier curve, taps carry natural timing jitter, typing goes through the real iOS keyboard.
- Plans in the open — for multi-step tasks the AI creates a plan you watch progress live on the Icemoon dashboard.
- Drives a fleet — connections are pooled; the AI switches between connected iPhones instantly or targets a specific device per call.
- Runs locally — the MCP server and the devices live on your Mac. Nothing goes to Icemoon's servers.
Requirements
- macOS 13+ on Apple Silicon (M1 or newer)
- Icemoon installed and activated — the MCP server is included in the Farm and Scale plans
- One or more iPhones connected over USB (stock iOS, no jailbreak — setup guide)
Quick start (Claude Desktop)
- Install Icemoon and connect an iPhone — step-by-step guide.
- In the Icemoon app, open AI Copilot → Install to Claude Desktop. The app registers the server (named
automation-studio) in~/Library/Application Support/Claude/claude_desktop_config.jsonautomatically, with its bundled Python runtime — nothing to install by hand. - Restart Claude Desktop. The device tools are now available in every chat.
Ask something like:
Open Settings on my iPhone, turn on Do Not Disturb, and verify it stuck.
Via npm (any MCP client)
icemoon-mcp is a tiny launcher: it finds the installed Icemoon app and hands stdio to the server bundled inside it. No Python to install, no paths to look up.
{
"mcpServers": {
"icemoon": {
"command": "npx",
"args": ["-y", "icemoon-mcp"]
}
}
}
The launcher itself is MIT-licensed and has zero dependencies — read it, it is about a hundred lines. It does nothing on its own: the Icemoon app must be installed and licensed, otherwise it prints where to get it and exits.
| Variable | Default | Purpose |
|---|---|---|
ICEMOON_APP |
/Applications/AutomationStudio.app |
Path to the app bundle, if installed elsewhere |
ICEMOON_DASHBOARD_URL |
http://127.0.0.1:8088 |
Where the running Icemoon app listens |
Manual configuration (Claude Code, Cursor, other MCP clients)
If you would rather not go through npm, any MCP client can run the bundled server directly — point it at the bundle's runtime and script:
{
"mcpServers": {
"automation-studio": {
"command": "/Applications/AutomationStudio.app/Contents/Resources/mcp_python/bin/python3",
"args": ["/Applications/AutomationStudio.app/Contents/Resources/mcp_server.py"],
"env": {
"DASHBOARD_URL": "http://127.0.0.1:8088",
"PYTHONPATH": "/Applications/AutomationStudio.app/Contents/Resources/mcp_libs"
}
}
}
}
Notes:
DASHBOARD_URLis the local Icemoon dashboard (default port8088); the app must be running.- Exact paths can differ per build — the easiest way to get the correct entry is to run the one-click install once and copy the generated block from
claude_desktop_config.json.
Tools
50 tools across eight groups — full reference with parameters in docs/tools.md.
| Group | Tools | What the AI gets |
|---|---|---|
| Devices & session | list_devices connect_device disconnect_device device_status get_metrics |
Discover running devices, pooled connections, per-call port= targeting |
| Screen understanding | get_visible_elements identify_screen get_screen_info get_screen_map get_element_at_position find_by_id get_nav_map screenshot_save |
Structured UI reading — elements, screen fingerprints, app navigation maps |
| Touch & input | tap tap_by_id tap_relative double_tap touch_hold swipe swipe_relative scroll pinch type_text smart_type keyboard_dismiss press_button |
Human-like gesture synthesis; typing through the real iOS keyboard |
| Apps & navigation | open_app kill_app get_app_list navigate_to wait_for_screen |
navigate_to walks to a target screen in one call: detect → path → execute → verify |
| Batching & plans | run_batch sleep_delay foreach_elements plan_create plan_add_step plan_update_step plan_get |
Whole action sequences in one round-trip; live plan progress on the dashboard |
| Device state | lock_device unlock_device set_location pasteboard_get pasteboard_set video_record set_action_recording |
Lock/unlock, clipboard, screen recording, simulated GPS, action recording |
| Scheduling & scripts | schedule_task list_scheduled_tasks delete_scheduled_task list_saved_scripts |
Fire saved automations later, on a calendar, across the fleet |
| Utilities | http_request |
Fetch external data mid-task (with SSRF-safe URL validation) |
Example prompts
- Go through the onboarding of the app I just installed and screenshot every screen.
- Run the saved “morning report” automation on all connected iPhones and tell me if any device fails.
- Navigate to the checkout screen in our app on every device and record a video of the flow.
- Every day at 9:00, open the app, refresh the feed, and save a screenshot — schedule it.
Security & privacy
- The server binds locally and talks only to the Icemoon dashboard on
127.0.0.1; devices are attached over USB. - Every tool call is written to a local audit log (sensitive parameters masked).
http_requestvalidates URLs and blocks private-network targets.- Screen content reaches only the MCP client you connect (e.g. Claude), only while it's working for you.
FAQ
Is this open source? The docs, examples, and manifest in this repo are MIT. The server ships inside the commercial Icemoon app.
Does it work without the Icemoon app? No — the MCP server is the AI-facing surface of the app's automation engine.
Android? No, iOS only. That focus is where the human-like input and no-jailbreak setup come from.
Which plans include it? Farm and Scale — see pricing.
Related
- icemoon-dev/icemoon — the main project: documentation, issue tracker, release notes
icemoon-mcpon npm- icemoon.app — the product
Icemoon — automate real iPhones with human-like touch, from your Mac, no jailbreak.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。
mcp-server-qdrant
这个仓库展示了如何为向量搜索引擎 Qdrant 创建一个 MCP (Managed Control Plane) 服务器的示例。