MCP server
by landicefu
Manage Android devices with ADB: execute shell commands, install apps, capture screenshots, and transfer files for effic
Connects to Android devices through ADB to execute shell commands, manage apps, transfer files, and capture screenshots. Enables AI assistants to automate Android development and testing tasks.
Android ADB is a community-built MCP server published by landicefu that provides AI assistants with tools and capabilities via the Model Context Protocol. Manage Android devices with ADB: execute shell commands, install apps, capture screenshots, and transfer files for effic It is categorized under developer tools.
You can install Android ADB 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.
ISC
Android ADB is released under the ISC 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
Android ADB has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Android ADB is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
I recommend Android ADB for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Android ADB reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Android ADB reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
We wired Android ADB into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Useful MCP listing: Android ADB is the kind of server we cite when onboarding engineers to host + tool permissions.
Strong directory entry: Android ADB surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Android ADB is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
According to our notes, Android ADB benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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A Model Context Protocol (MCP) server that enables AI assistants to interact with Android devices through the Android Debug Bridge (ADB). This server bridges the gap between AI capabilities and Android device management, allowing for seamless automation of Android development and testing operations.
Add the server to your MCP configuration file:
{
"mcpServers": {
"android-adb": {
"command": "npx",
"args": ["-y", "@landicefu/android-adb-mcp-server"],
"env": {},
"disabled": false,
"alwaysAllow": []
}
}
}
~/Library/Application Support/Claude/claude_desktop_config.json (macOS)~/Library/Application Support/Code/User/globalStorage/rooveterinaryinc.roo-cline/settings/cline_mcp_settings.json (macOS)After configuring, restart your AI assistant to load the new server configuration.
adb version in your terminalosascript (built-in)xclip (install via apt-get install xclip or equivalent)| Tool | Description | Required Parameters | Optional Parameters |
|---|---|---|---|
adb_devices | List connected devices | None | None |
adb_shell | Execute shell commands | command | device_id |
adb_install | Install APK files | path | device_id |
adb_uninstall | Uninstall applications | package_name | device_id |
adb_list_packages | List installed packages | None | device_id, filter |
adb_pull | Pull files from device | remote_path, local_path | device_id |
adb_push | Push files to device | local_path, remote_path | device_id |
launch_app | Launch an application | package_name | device_id |
take_screenshot_and_save | Take and save screenshot | output_path | device_id, format |
take_screenshot_and_copy_to_clipboard | Take screenshot to clipboard | None | device_id, format |
The server intelligently handles device selection:
device_id parameterWhen specifying the output_path for saving screenshots, the path is resolved as follows:
~ are expanded to the user's home directoryThis ensures that screenshots are saved to a location where the MCP server has write permissions.
"ADB is not available" error
adb version in your terminal"No Android devices connected" error
adb devicesadb kill-server followed by adb start-server"Multiple devices connected" error
device_id parameter in your tool calladb_devices toolScreenshot to clipboard not working
# Install globally
npm install -g @landicefu/android-adb-mcp-server
# Or install locally in your project
npm install @landicefu/android-adb-mcp-server
Clone the repository:
git clone https://github.com/landicefu/android-adb-mcp-server.git
cd android-adb-mcp-server
Install dependencies and build:
npm install
npm run build
Configure with direct path:
{
"mcpServers": {
"android-adb": {
"command": "node",
"args": ["/path/to/android-adb-mcp-server/build/index.js"],
"env": {},
"disabled": false,
"alwaysAllow": []
}
}
}
This project is licensed under the ISC License - see the LICENSE file for details.
Contributions are welcome! Please feel free to submit a Pull Request.
git checkout -b feature/amazing-feature)git commit -m 'Add some amazing feature')git push origin feature/amazing-feature)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.