Mobile Device MCP
An MCP server to interact with multiple iOS and Android devices at the same time.
Mobile Device MCP
An MCP server that lets AI agents control iOS and Android devices (tap, scroll, type, take screenshots, read UI trees, and run code). Works with multiple devices at the same time.
How It Works
Three-layer architecture:
- On-device servers — Lightweight HTTP servers running on each mobile device (UIAutomator on Android, XCUITest on iOS) that expose the accessibility tree and accept interaction commands.
- UI tree filter — Normalizes raw UI trees from both platforms into a unified flat element list.
- MCP server — The external interface. Handles device discovery, bootstrapping, port allocation, and proxies requests to on-device servers.
Devices are bootstrapped on first use — the server installs the driver app, allocates a port, starts the on-device server, and polls until it's healthy. After that, all tool calls are proxied over localhost HTTP with per-device bearer token auth.
Tools
| Tool | Description |
|---|---|
list_devices | List available iOS and Android devices |
screenshot | Capture the device screen (JPEG) |
uitree | Get the UI element tree as a flat list, with optional search and limit |
tap | Tap at screen coordinates |
double_tap | Double-tap at screen coordinates |
long_press | Long-press at screen coordinates (configurable duration) |
scroll | Swipe from start to end coordinates |
type_text | Type text into the focused element |
press_button | Press a hardware/navigation button (home, back, enter, volumeUp/Down, dpadUp/Down/Left/Right/Center) |
launch_app | Launch an app by bundle ID / package name |
terminate_app | Force-stop an app |
list_apps | List installed apps |
run_code | Execute sandboxed JavaScript on-device (see run_code below) |
run_code
Agents can pass code that looks like UIAutomator or XCUITest, both being Javascript under the hood. The sandbox restricts (Android) potentially dangerous Java operations and only allows (iOS) some XCUITest-ish commands
- Android: Rhino engine with UIAutomator bindings —
uiDevice(click, swipe, find elements, press keys, read display info),By(selectors),Until(wait conditions),console.log() - iOS: JavaScriptCore with XCUITest bindings —
app(query elements, tap, type, swipe),springboard,device,openApp(bundleId),sleep(ms),console.log()
Both platforms automatically kill runaway scripts (infinite loops) and create a fresh sandbox per call.
Prerequisites
- Node.js 18+ (for running via
npx) - Android: Android SDK with
adbon PATH - iOS Simulator: Xcode with
xcrun,simctl - iOS Real Device: Xcode with
xcodebuild,devicectl, andiproxy(from libimobiledevice) - Building from source: Bun runtime, Gradle (Android), Xcode (iOS)
Installation
Claude Code
claude mcp add mobile-device-mcp -- npx -y @srmorete/mobile-device-mcp
Or with custom ports:
claude mcp add mobile-device-mcp -e MDMS_PORT_ANDROID=20000 -e MDMS_PORT_IOS=21000 -- npx -y @srmorete/mobile-device-mcp
Modifying .mcp.json (Cursor, Claude Desktop, etc)
{
"mcpServers": {
"mobile-device-mcp": {
"command": "npx",
"args": ["-y", "@srmorete/mobile-device-mcp"],
"env": {
"MDMS_PORT_ANDROID": "18000", # optional
"MDMS_PORT_IOS": "19000" # optional
}
}
}
}
Building from Source
git clone <repo-url>
cd mobile-device-mcp
bun install
# Build drivers for both platforms and pack tarball
./scripts/build.sh
The build script compiles the on-device drivers (Android APKs via Gradle, iOS test bundle via xcodebuild), copies them to drivers/, and creates an npm tarball.
To run locally during development:
bun run start # Start the MCP server
bun test # Run the test suite
Configuration
| Environment Variable | Default | Description |
|---|---|---|
MDMS_PORT_ANDROID | 18000 | Base port for Android on-device servers |
MDMS_PORT_IOS | 19000 | Base port for iOS on-device servers |
Ports are assigned sequentially — first Android device gets 18000, second gets 18001, and so on. Same for iOS starting at 19000.
Acknowledgements
Mobile Device MCP server stands on the shoulders of giants such as mobile-mcp and Maestro. Used as inspiration but reframed the current approach to be multi-device and with seamless Native/WebView support (especially on Android).
License
MIT
เซิร์ฟเวอร์ที่เกี่ยวข้อง
Scout Monitoring MCP
ผู้สนับสนุนPut performance and error data directly in the hands of your AI assistant.
Alpha Vantage MCP Server
ผู้สนับสนุนAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
Ultra Context
The context API for AI agents
ailist-mcp
Search and discover Ai projects from Claude Code. Browse 1,400+ MCP servers, tools, and agents. Submit projects via your Ai agent.
DeepView MCP
Enables IDEs like Cursor and Windsurf to analyze large codebases using Gemini's 1M context window.
Remote MCP Server (Authless)
An example of a remote MCP server deployable on Cloudflare Workers, without authentication.
MCP Framework Starter
A starter project for building Model Context Protocol (MCP) servers with the mcp-framework.
Remote MCP Server (Authless)
An example of a remote MCP server deployable on Cloudflare Workers, without authentication.
Cygnus MCP Server
An MCP server demonstrating Cygnus tools for reading text files and invoking local APIs.
mcp-of-mcps
MCP of MCPs is a meta-server that merges all your MCP servers into a single smart endpoint. It gives AI agents instant tool discovery, selective schema loading, and massively cheaper execution, so you stop wasting tokens and time. With persistent tool metadata, semantic search, and direct code execution between tools, it turns chaotic multi-server setups into a fast, efficient, hallucination-free workflow. It also automatically analyzes the tools output schemas if not exist and preserves them across sessions for consistent behavior.
MLflow MCP Server
Integrates with MLflow, enabling AI assistants to interact with experiments, runs, and registered models.
Ollama MCP Bridge
A bridge API service connecting Ollama with Model Context Protocol (MCP) servers.