hyperb1iss/droidmind
by Various
Control your Android devices with AI using Model Context Protocol
MCP
hyperb1iss/droidmind
Added 1 June 2026
Overview
Droidmind is an open-source Python tool that lets you control Android devices through the Model Context Protocol (MCP). It exposes device actions as MCP resources, allowing AI agents to interact with Android emulators or physical devices.
Best for
Best for
Developers building AI agents or automation pipelines that need to control Android devices programmatically
Use cases
- Automating Android app testing and UI exploration via AI agents
- Building custom assistants that can control device settings and apps
- Integrating Android device control into larger MCP-based automation workflows
How to use
Tools exposed
uvxuvruffpyrightpytestadb
Tested with
Cursor, Claude Desktop, Cline
Example client config
{\n "mcpServers": {\n "droidmind": {\n "command": "uvx",\n "args": [\n "--from",\n "git+https://github.com/hyperb1iss/droidmind",\n "droidmind",\n "--transport",\n "stdio"\n ]\n }\n }\n} Notes
Droidmind is an open-source Python tool that lets you control Android devices through the Model Context Protocol (MCP). It exposes device actions as MCP resources, allowing AI agents to interact with Android emulators or physical devices.
402 stars on GitHub. Last updated 2026-01-07. Licensed Apache-2.0.
Use cases
- Automating Android app testing and UI exploration via AI agents
- Building custom assistants that can control device settings and apps
- Integrating Android device control into larger MCP-based automation workflows
Pros
- Open source with 402 stars and active development
- Uses standard MCP for interoperability with many AI frameworks
- Written in Python, easy to extend or customize
Cons
- Requires setting up an MCP host and Android Debug Bridge (ADB)
- Works best with Android 5+; older devices may lack support
- Not a standalone app – assumes familiarity with MCP and device debugging
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Open source with 402 stars and active development
- Uses standard MCP for interoperability with many AI frameworks
- Written in Python, easy to extend or customize
Cons
- Requires setting up an MCP host and Android Debug Bridge (ADB)
- Works best with Android 5+; older devices may lack support
- Not a standalone app – assumes familiarity with MCP and device debugging
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
Get the free Developer’s Field Guide
A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.
Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.