Android-MCP is a lightweight, open-source tool that bridge between AI agents and Android devices. Running as an MCP server, it lets LLM agents perform real-world tasks such as **app navigation, UI interaction and automated QA testing** without relying on traditional computer-vision pipelines or preprogramed scripts.
**KEY FEATURES**
- **Native Android Integration**: Interact with UI elements via ADB and the Android Accessibility API.
- **Bring Your Own LLM/VLM**: Works with any language model.
- **Rich Toolset for Mobile Automation**: Pre-built tools for gestures, keystrokes, capture, device state, etc.
- **Real-Time Interaction**: Typical latency between actions ranges 2-4s.
**MINIMUM REQUIREMENTS**
- Python 3.13 or higher
- Android Debug Bridge (ADB)
Ensure ADB is installed and your device is connected/authorized.
- UV Package Manager
This MCP server requires UV, a fast Python package manager.
Installation:
`curl -LsSf https://astral.sh/uv/install.sh | sh`
For detailed installation instructions, [see the UV documentation](https://github.com/astral-sh/uv)
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