Bridge AI assistants with Android devices via MCP for device control, debugging, system analysis, and UI automation.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ or use 1-click editor setup below.
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๐ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Droidmind.
DroidMind is a powerful bridge between AI assistants and Android devices, enabling control, debugging, and system analysis through natural language. By implementing the Model Context Protocol (MCP), DroidMind allows AI models to directly interact with Android devices via ADB in a secure, structured way. When used as part of an agentic coding workflow, DroidMind can enable your assistant to build and debug with your device directly in the loop.
DroidMind empowers AI assistants to:
For a detailed list of capabilities, see the User Manual and MCP Reference.
uvx)For the fastest way to integrate DroidMind with an MCP-compatible IDE (like Cursor), you can configure it to run DroidMind directly from its GitHub repository using uvx. This method does not require you to manually clone or install DroidMind first.
Add the following to your IDE's MCP configuration (e.g., .cursor/mcp.json for Cursor):
Your IDE will be configured to launch DroidMind on demand. Full instructions for this setup are in the Quick Start Guide.
uv (Python package manager)For detailed instructions on setting up DroidMind, including the quick IDE integration with uvx (covered in the Quick Start), manual installation from source, or using Docker, please see our comprehensive Installation Guide.
How you run DroidMind depends on your setup:
uvx): Your IDE automatically manages running DroidMind as configured in its MCP settings (e.g., mcp.json). See the Quick Start Guide.sse://localhost:4256/sse.Refer to the Installation Guide for more details on running DroidMind in different environments.
DroidMind can also be run using Docker for a consistent, containerized environment. This is particularly useful for deployment and isolating dependencies.
For comprehensive instructions on building the Docker image and running DroidMind in a container with stdio or SSE transport, including notes on ADB device access, please refer to our Docker Guide.
With an AI assistant connected to DroidMind, you can make requests like:
emulator-5554."your_device_serial."emulator-5554."For more inspiration, check out our Example Queries and Workflows in the User Manual.
DroidMind incorporates a security framework to protect your devices:
High-risk operations are flagged, and critical ones are blocked by default. Learn more in our Security Considerations chapter.
DroidMind uses uv for dependency management and development workflows.
Contributions are welcome! Please feel free to submit a Pull Request.
git checkout -b feature/amazing-feature).uv.git commit -m 'Add some amazing feature').git push origin feature/amazing-feature).This project is licensed under the Apache License - see the LICENSE file for details.
Created by Stefanie Jane ๐
If you find DroidMind useful, buy me a Monster Ultra Violet โก๏ธ
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