developer-tools

Android Mobile

erichung9060

by erichung9060

Enable AI agents to control Android devices easily using the Tasker app for automated tasks and seamless Android integra

Enable AI agents to control Android devices

github stars

4

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Requires ADB and USB debugging setupFull coordinate-based touch controlHierarchical UI element parsing

best for

  • / Mobile app testing and automation
  • / Android UI interaction for AI agents
  • / Remote device control scenarios

capabilities

  • / Click and swipe on Android screens
  • / Type text into input fields
  • / Take screenshots of device screen
  • / Launch and list installed apps
  • / Extract UI elements as structured JSON
  • / Press system buttons (back, home, recent)

what it does

Control Android devices remotely through AI agents with full UI interaction capabilities including touch, swipe, typing, and app management.

about

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.

how to install

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.

license

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.

readme

Android Mobile MCP

Overview

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.

MCP Configuration

{
  "mcpServers": {
    "android-mobile-mcp": {
      "command": "uvx",
      "args": ["android-mobile-mcp"]
    }
  }
}

Prerequisites

  1. Connect Android device via USB or network
  2. Enable USB debugging on your Android device
  3. Install ADB (Android Debug Bridge)

Tools Reference

Screen Analysis

mobile_dump_ui - Extract UI elements as hierarchical JSON

  • Parses screen XML to identify focusable elements and text content
  • Calculates center coordinates for each interactive element
  • Returns structured parent-child element relationships

mobile_take_screenshot - Capture current screen state

  • Returns PNG image data for visual analysis

Touch Interactions

mobile_click - Click at specific coordinates

  • Validates coordinates against current UI state
  • Requires prior mobile_dump_ui call for coordinate verification
  • Prevents clicking on invalid or non-interactive areas

mobile_swipe - Perform swipe gestures

  • Executes directional swipes between two coordinate points
  • Configurable duration for gesture speed control

Text Input

mobile_type - Input text into focused fields

  • Sends text to currently active input field
  • Optional automatic submission with Enter key

Navigation

mobile_key_press - Press system buttons

  • Supports hardware and virtual keys: BACK, HOME, RECENT, ENTER

App Management

mobile_list_apps - List installed applications

  • Filters out system apps and non-launchable packages
  • Returns only user-accessible applications

mobile_launch_app - Start applications by package name

  • Validates package existence before launch attempt

FAQ

What is the Android Mobile MCP server?
Android Mobile is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Android Mobile?
This profile displays 29 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

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

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

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

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ 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.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.529 reviews
  • Zara Thomas· Dec 20, 2024

    According to our notes, Android Mobile benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Luis Martinez· Sep 21, 2024

    Android Mobile is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Amelia Mensah· Sep 17, 2024

    We wired Android Mobile into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Sakshi Patil· Sep 13, 2024

    We wired Android Mobile into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Hana Rao· Aug 12, 2024

    We wired Android Mobile into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Amelia Johnson· Aug 8, 2024

    Android Mobile is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Chaitanya Patil· Aug 4, 2024

    Android Mobile is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Xiao Singh· Jul 27, 2024

    Android Mobile is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Piyush G· Jul 23, 2024

    Android Mobile is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Hana Johnson· Jul 3, 2024

    We evaluated Android Mobile against two servers with overlapping tools; this profile had the clearer scope statement.

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