<2-3 sentences summarising what the project addresses and solves, the target audience, and the benefit.> DroidMind bridges AI assistants with Android devices, enabling natural language control, debugging, and system analysis. It implements the Model Context Protocol (MCP) to securely interact with devices via ADB, allowing AI agents to directly manage, inspect, and automate Android functionalities within an agentic workflow.

How It Works

The project leverages the Model Context Protocol (MCP) to standardize communication between AI models and Android devices. DroidMind acts as an intermediary, translating natural language commands into ADB (Android Debug Bridge) operations. This structured approach allows AI agents to perform tasks like file management, app control, UI automation, and system analysis directly on a connected Android device, offering a secure and efficient method for AI-driven device interaction.

Quick Start & Requirements

• Primary Install/Run: Zero-install IDE integration via uvx by configuring MCP settings (e.g., .cursor/mcp.json). Manual installation from source or Docker is also supported.
• Prerequisites: Python 3.13+, uv package manager, an Android device with USB debugging enabled, and ADB installed and in the system PATH.
• Documentation: Full setup and usage details are available in the Online Docs, including guides for IDE integration, manual installation, and Docker. The MCP Reference details the protocol.

Highlighted Details

• Comprehensive device control: Manage connections, reboot, inspect properties.
• System and app introspection: Access logs (logcat, ANR, crash), capture bug reports, dump heaps, inspect app manifests and permissions.
• File system operations: Browse, read, write, push, pull, and delete files/directories.
• UI automation and shell command execution: Perform taps, swipes, text input, and run arbitrary ADB shell commands within a security framework.
• Security features: Includes command validation, risk assessment, and sanitization for operations.

Maintenance & Community

The project is under active development and created by Stefanie Jane 🌠. No specific community channels (Discord, Slack) or detailed roadmap links are provided in the README, beyond a link to a development plan.

Licensing & Compatibility

Licensed under the Apache License 2.0. This license is permissive and generally compatible with commercial use and closed-source projects.

Limitations & Caveats

Requires a relatively recent Python version (3.13+). Security features, while robust, may require configuration for high-risk operations. Compatibility with all Android versions and specific hardware configurations is not explicitly detailed.