ADB (Android Debug Bridge)▌
by srmorete
Bridge AI and Android devices using Android Debug Bridge for Windows. Manage devices, run shell commands, and install ap
Bridges AI with Android devices through ADB, enabling device management, shell commands, app installation, file transfers, and UI inspection without requiring direct ADB knowledge.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / General purpose MCP workflows
capabilities
- / adb_devices
- / inspect_ui
- / adb_shell
- / adb_install
- / adb_logcat
- / adb_pull
what it does
Bridges AI with Android devices through ADB, enabling device management, shell commands, app installation, file transfers, and UI inspection without requiring direct ADB knowledge.
about
ADB (Android Debug Bridge) is a community-built MCP server published by srmorete that provides AI assistants with tools and capabilities via the Model Context Protocol. Bridge AI and Android devices using Android Debug Bridge for Windows. Manage devices, run shell commands, and install ap It is categorized under developer tools. This server exposes 8 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install ADB (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.
license
MIT
ADB (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.
readme
ADB MCP Server
An MCP (Model Context Protocol) server for interacting with Android devices through ADB. This TypeScript-based tool provides a bridge between AI models and Android device functionality.
Features
- 📱 Device Management - List and interact with connected Android devices
- 📦 App Installation - Deploy APK files to connected devices
- 📋 Logging - Access device logs through logcat
- 🔄 File Transfer - Push and pull files between device and host
- 📸 UI Interaction - Capture screenshots and analyze UI hierarchy
- 🔧 Shell Command Execution - Run custom commands on the device
Prerequisites
- Node.js (v16 or higher recommended, tested with Node.js v16, v18, and v20)
- ADB (Android Debug Bridge) installed and in your PATH
- An Android device or emulator connected via USB or network with USB debugging enabled
- Permission to access the device (accepted debugging authorization on device)
Installation
Installing via Smithery
To install ADB Android Device Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @srmorete/adb-mcp --client claude
Manual Installation
# Clone the repository
git clone https://github.com/srmorete/adb-mcp.git
cd adb-mcp
# Install dependencies
npm install
# Build the TypeScript code
npm run build
# Run the server
npx adb-mcp
Configuration
ADB Path Configuration
The server uses default ADB paths. For custom ADB location:
export ADB_PATH=/path/to/adb
npx adb-mcp
MCP Configuration
Add the ADB MCP server configuration:
{
"mcpServers": {
"adb": {
"command": "npx",
"args": [
"adb-mcp"
]
}
}
}
Usage
Starting the Server
IMPORTANT: The server must be running before using any ADB tools.
Start the server using:
npx adb-mcp
You should see:
[INFO] ADB MCP Server connected and ready
Keep this terminal window open while using the ADB tools.
Available Tools
All tools are available with the following naming convention:
📱 Device Management
adb_devices- List connected devicesadb_shell- Execute shell commands on a device
📦 App Management
adb_install- Install an APK file using a local file pathadb_package_manager- Execute Package Manager (pm) commands - list packages, grant/revoke permissions, manage appsadb_activity_manager- Execute Activity Manager (am) commands - start activities, broadcast intents, control app behavior
📋 Logging
adb_logcat- View device logs with optional filtering
🔄 File Transfer
adb_pull- Pull files from a deviceadb_push- Push files to a device
🔍 UI Interaction
dump_image- Take a screenshot of the current screeninspect_ui- Get UI hierarchy in XML format (most useful for AI interaction)
Troubleshooting
If tools aren't working:
-
Server Issues:
- Ensure the server is running (
npx adb-mcp) - Check server output for error messages
- Try detailed logs:
LOG_LEVEL=3 npx adb-mcp - Kill hanging processes:
ps aux | grep "adb-mcp" | grep -v grep- then
kill -9 [PID]
- Ensure the server is running (
-
Device Connection:
- Verify connection with
adb_devices - If "unauthorized", accept debugging authorization on device
- Check USB/network connections
- Try restarting ADB:
adb kill-server && adb start-server
- Verify connection with
-
ADB Issues:
- Verify ADB installation:
adb version
- Verify ADB installation:
-
Device Setup:
- Use an emulator (it was built using one), for real devices maybe try this:
- Ensure USB debugging is enabled
- For newer Android versions, enable "USB debugging (Security settings)"
- Try different USB port or cable
- or let me know in an issue
- Use an emulator (it was built using one), for real devices maybe try this:
Compatibility
- Android 8.0 and higher
- MCP clients including Claude in Cursor IDE
- Was built on macOS but should run on any POSIX compatible (Linux etc).
- Did not try on Windows but maybe it works.
Contributing
- Contributions are welcome! Submit a Pull Request.
- For major changes, open an issue to discuss first.
- You can, of course, also fork it
- Note: this project was
vibe-codedso if you spot some weird stuff... well now you know 🙂
License
This project is licensed under the MIT License - see the LICENSE file for details.
Acknowledgments
- Built with Model Context Protocol (MCP)
FAQ
- What is the ADB (Android Debug Bridge) MCP server?
- ADB (Android Debug Bridge) 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 ADB (Android Debug Bridge)?
- This profile displays 51 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 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.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 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.
List & Promote Your MCP Server
Share your MCP server with the developer community
Ratings
4.8★★★★★51 reviews- ★★★★★Ishan Haddad· Dec 28, 2024
ADB (Android Debug Bridge) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Ama Kim· Dec 24, 2024
ADB (Android Debug Bridge) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Ira Martinez· Dec 12, 2024
We wired ADB (Android Debug Bridge) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Oshnikdeep· Dec 4, 2024
According to our notes, ADB (Android Debug Bridge) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Yusuf Johnson· Nov 27, 2024
Useful MCP listing: ADB (Android Debug Bridge) is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Ganesh Mohane· Nov 23, 2024
We wired ADB (Android Debug Bridge) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Ira Verma· Nov 19, 2024
ADB (Android Debug Bridge) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Ama Ramirez· Nov 15, 2024
ADB (Android Debug Bridge) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Chen Martin· Nov 3, 2024
According to our notes, ADB (Android Debug Bridge) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Ishan Khan· Oct 22, 2024
ADB (Android Debug Bridge) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
showing 1-10 of 51