by tiagodanin
Integrate with Android devices via ADB for effective android device management, app control, and automated testing workf
Controls Android devices through ADB commands for app management, UI interaction, and automated testing. Lets you take screenshots, simulate touches, manage apps, and analyze UI elements.
Android Debug Bridge is a community-built MCP server published by tiagodanin that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate with Android devices via ADB for effective android device management, app control, and automated testing workf 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 Debug Bridge 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 Debug Bridge 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
Useful MCP listing: Android Debug Bridge is the kind of server we cite when onboarding engineers to host + tool permissions.
Android Debug Bridge is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
We wired Android Debug Bridge into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
We evaluated Android Debug Bridge against two servers with overlapping tools; this profile had the clearer scope statement.
Android Debug Bridge is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Android Debug Bridge is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
We evaluated Android Debug Bridge against two servers with overlapping tools; this profile had the clearer scope statement.
Useful MCP listing: Android Debug Bridge is the kind of server we cite when onboarding engineers to host + tool permissions.
I recommend Android Debug Bridge for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Strong directory entry: Android Debug Bridge surfaces stars and publisher context so we could sanity-check maintenance before adopting.
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MCP plugin to control Android devices via ADB for automation, testing, and agent integration.
This MCP server provides tools to:
Install the package globally via npm:
npm install -g android-debug-bridge-mcp
Add to your MCP configuration in ~/.claude/mcp.json:
{
"mcpServers": {
"android-debug-bridge": {
"command": "npx",
"args": ["android-debug-bridge-mcp"]
}
}
}
or
claude mcp add --scope project android-debug-bridge-mcp -- npx android-debug-bridge-mcp
Add to your MCP configuration in Cursor settings:
android-debug-bridgenpx["android-debug-bridge-mcp"]Add to your MCP configuration file:
Windows: %APPDATA%\Claude\claude_desktop_config.json
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Linux: ~/.config/Claude/claude_desktop_config.json
{
"mcpServers": {
"android-debug-bridge": {
"command": "npx",
"args": ["android-debug-bridge-mcp"]
}
}
}
Once configured, you can interact with Android devices through your AI client by asking questions like:
MIT
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.