by erichung9060
Enable AI agents to control Android devices easily using the Tasker app for automated tasks and seamless Android integra
Control Android devices remotely through AI agents with full UI interaction capabilities including touch, swipe, typing, and app management.
Android Mobile is a community-built MCP server published by erichung9060 that provides AI assistants with tools and capabilities via the Model Context Protocol. Enable AI agents to control Android devices easily using the Tasker app for automated tasks and seamless Android integra It is categorized under developer tools. This server exposes 9 tools that AI clients can invoke during conversations and coding sessions.
You can install Android Mobile in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
Android Mobile is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
According to our notes, Android Mobile benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Android Mobile is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
We wired Android Mobile into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
We wired Android Mobile into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
We wired Android Mobile into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Android Mobile is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Android Mobile is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Android Mobile is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Android Mobile is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
We evaluated Android Mobile against two servers with overlapping tools; this profile had the clearer scope statement.
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Android Mobile MCP bridges the Model Context Protocol with Android device automation, enabling AI agents to interact with Android devices through UI manipulation, app management, and screen capture.
{
"mcpServers": {
"android-mobile-mcp": {
"command": "uvx",
"args": ["android-mobile-mcp"]
}
}
}
mobile_dump_ui - Extract UI elements as hierarchical JSON
mobile_take_screenshot - Capture current screen state
mobile_click - Click at specific coordinates
mobile_dump_ui call for coordinate verificationmobile_swipe - Perform swipe gestures
mobile_type - Input text into focused fields
mobile_key_press - Press system buttons
mobile_list_apps - List installed applications
mobile_launch_app - Start applications by package name
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.