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  3. Icemoon β€” control a real iPhone with AI
Icemoon β€” control a real iPhone with AI logo
Health: ActiveRecent health check succeeded.Last checked 9/21/2026, 5:46:35 PM

Icemoon β€” control a real iPhone with AI

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View RepositoryVisit Website

Control real, physical iPhones with AI: screen reading, human-like touch, no jailbreak.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "icemoon-control-a-real-iphone-with-ai": {
      "command": "npx",
      "args": [
        "-y",
        "icemoon-mcp"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

Icemoon MCP Server β€” 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 β€” 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 Β· MCP overview: icemoon.app/mcp Β· Install guide: icemoon.app/install


What it does

Code
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”     MCP (stdio)     β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”     USB      β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚   Claude   β”‚ ◄─────────────────► β”‚  Icemoon MCP     β”‚ ◄──────────► β”‚  iPhone(s) β”‚
β”‚  (or any   β”‚                     β”‚  server + app    β”‚              β”‚  stock iOS β”‚
β”‚ MCP client)β”‚                     β”‚  on your Mac     β”‚              β”‚            β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜                     β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜              β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
  • Sees the screen as structure, not pixels β€” real UI elements (buttons, labels, text fields) with identifiers and coordinates.
  • Touches like a hand, not a script β€” every swipe follows a unique Bezier curve, taps carry natural timing jitter, typing goes through the real iOS keyboard.
  • Plans in the open β€” for multi-step tasks the AI creates a plan you watch progress live on the Icemoon dashboard.
  • Drives a fleet β€” connections are pooled; the AI switches between connected iPhones instantly or targets a specific device per call.
  • Runs locally β€” 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 β€” the MCP server is included in the Farm and Scale plans
  • One or more iPhones connected over USB (stock iOS, no jailbreak β€” setup guide)

Quick start (Claude Desktop)

  1. Install Icemoon and connect an iPhone β€” step-by-step guide.
  2. In the Icemoon app, open AI Copilot β†’ Install to Claude Desktop. The app registers the server (named automation-studio) in ~/Library/Application Support/Claude/claude_desktop_config.json automatically, with its bundled Python runtime β€” nothing to install by hand.
  3. 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.

config.json
{
  "mcpServers": {
    "icemoon": {
      "command": "npx",
      "args": ["-y", "icemoon-mcp"]
    }
  }
}

The launcher itself is MIT-licensed and has zero dependencies β€” 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.

If an AI agent is doing the setup for you, point it at llms-install.md β€” the prerequisites to check, the config to write, and what each failure message means.

VariableDefaultPurpose
ICEMOON_APP/Applications/AutomationStudio.appPath to the app bundle, if installed elsewhere
ICEMOON_DASHBOARD_URLhttp://127.0.0.1:8088Where 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 β€” point it at the bundle's runtime and script:

config.json
{
  "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_URL is the local Icemoon dashboard (default port 8088); the app must be running.
  • Exact paths can differ per build β€” 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

53 tools across eight groups β€” full reference with parameters in docs/tools.md. The same list is published as a machine-readable server card.

GroupToolsWhat the AI gets
Devices & sessionlist_devices connect_device disconnect_device device_status get_metricsDiscover running devices, pooled connections, per-call port= targeting
Screen understandingget_visible_elements identify_screen get_screen_info get_screen_map get_element_at_position find_by_id find_by_label get_nav_map screenshot_saveStructured UI reading β€” elements, screen fingerprints, app navigation maps
Touch & inputtap tap_by_id tap_by_label tap_relative double_tap touch_hold swipe swipe_relative scroll pinch type_text smart_type keyboard_dismiss press_buttonHuman-like gesture synthesis; typing through the real iOS keyboard
Apps & navigationopen_app kill_app get_app_list navigate_to wait_for_screennavigate_to walks to a target screen in one call: detect β†’ path β†’ execute β†’ verify
Batching & plansrun_batch sleep_delay foreach_elements plan_create plan_add_step plan_update_step plan_getWhole action sequences in one round-trip; live plan progress on the dashboard
Device statelock_device unlock_device set_location pasteboard_get pasteboard_set video_record set_action_recordingLock/unlock, clipboard, screen recording, simulated GPS, action recording
Scheduling & scriptsschedule_task list_scheduled_tasks delete_scheduled_task list_saved_scriptsFire saved automations later, on a calendar, across the fleet
Utilitieshttp_request get_2fa_codeFetch external data mid-task (SSRF-safe URL validation); generate TOTP codes for sign-in flows

Example prompts

  • Go through the onboarding of the app I just installed and screenshot every screen.
  • Run the saved β€œmorning 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 β€” 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_request validates 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 β€” 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 β€” see pricing.

Related

  • icemoon-dev/icemoon β€” the main project: documentation, issue tracker, release notes
  • icemoon-mcp on npm
  • icemoon.app β€” the product

Icemoon β€” automate real iPhones with human-like touch, from your Mac, no jailbreak.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

npm downloads
107
Package downloads in the last 30 days.
Last commit
1mo ago
Most recent push to the default branch.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Icemoon β€” control a real iPhone with AI

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "icemoon-control-a-real-iphone-with-ai": { "command": "npx", "args": ["-y","icemoon-mcp"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedAug 3, 2026
6/6 checks healthy over the last 45d
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit1mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 3, 2026
npm downloads107/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
40Quality signal: Fair Β· 40/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools16/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 5d ago via OSV.dev Β· icemoon-mcp (npm)

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