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Android MCP▌

CursorTouch

by CursorTouch

Android MCP — lightweight bridge enabling AI agents for Android to perform Android automation and Android UI testing: ap

A lightweight bridge enabling AI agents to perform real-world tasks on Android devices such as app navigation, UI interaction, and automated QA testing without requiring computer-vision pipelines or preprogrammed scripts.

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No computer vision pipeline requiredWorks with any LLM2-4 second action latency

best for

  • / QA engineers automating mobile app testing
  • / Developers building Android automation workflows
  • / AI agents performing mobile device tasks

capabilities

  • / Launch Android apps and navigate interfaces
  • / Tap, swipe, and input text on Android screens
  • / Read UI element hierarchies and device state
  • / Capture screenshots and device information
  • / Execute shell commands on Android devices
  • / Automate gesture sequences and keystrokes

what it does

Connects AI agents to Android devices for automated app testing and UI interaction using ADB and Android Accessibility API. Works with any LLM without requiring computer vision models.

about

Android MCP is a community-built MCP server published by CursorTouch that provides AI assistants with tools and capabilities via the Model Context Protocol. Android MCP — lightweight bridge enabling AI agents for Android to perform Android automation and Android UI testing: ap It is categorized under developer tools.

how to install

You can install Android MCP 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

Android MCP is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

🤖 Android MCP

License Python Platform Last Commit
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**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. ## ✨ Features - **Native Android Integration** Interact with UI elements via ADB and the Android Accessibility API: launch apps, tap, swipe, input text, and read view hierarchies. - **Bring Your Own LLM/VLM** Works with any language model, no fine-tuned CV model or OCR pipeline required. - **Rich Toolset for Mobile Automation** Pre-built tools for gestures, keystrokes, capture, device state, shell commands execution. - **Real-Time Interaction** Typical latency between actions (e.g., two taps) ranges **2-4s** depending on device specs and load. ### Supported Operating Systems - Android 10+ ## Installation ### 📦 Prerequisites - Python 3.10+ - ADB (Android Debug Bridge) - Android 10+ (Emulator/ Android Device) ### 📲 Testing ADB Connection Before running the server, ensure your Android device is connected and recognized by ADB: 1. Connect your Android device via USB or ensure your emulator is running. 2. Open a terminal and run: ```shell adb devices ``` 3. You should see your device listed: ``` List of devices attached emulator-5554 device ``` If the list is empty or shows "unauthorized", check your USB debugging settings on the device. ### 🏁 Getting Started You can run the Android MCP server using **UVX** (recommended) or **UV** (for local development). #### Option 1: UVX (Recommended) No need to install dependencies manually. Just configure Claude Desktop: 1. **Locate your config file** - Windows: `%APPDATA%\Claude\claude_desktop_config.json` - macOS: `~/Library/Application Support/Claude/claude_desktop_config.json` 2. **Add the configuration** ```json { "mcpServers": { "android-mcp": { "command": "uvx", "args": [ "android-mcp" ] } } } ``` > **Note:** By default, it connects to `emulator-5554`. To connect to a specific device, add `"--device", ""` to the args list. #### Option 2: UV Mode (Local Development) 1. **Clone and Install** ```shell git clone https://github.com/CursorTouch/Android-MCP.git cd Android-MCP uv sync ``` 2. **Configure Claude Desktop** ```json { "mcpServers": { "android-mcp": { "command": "uv", "args": [ "--directory", "", "run", "android-mcp" ] } } } ``` > **Note:** Replace `` with the full path to your cloned directory. Add `"--device", ""` to args to target a specific device. 3. **Restart the Claude Desktop** Restart your Claude Desktop. You should see "android-mcp" listed as an available integration. That's it, now you're ready to start controlling your Android device with natural language. For troubleshooting tips (log locations, common ADB issues), see the [MCP docs](https://modelcontextprotocol.io/quickstart/server#android-mcp-integration-issues). --- ## 🛠️ Available Tools Claude can access the following tools to interact with Windows: - `State-Tool`: To understand the state of the device. - `Click-Tool`: Click on the screen at the given coordinates. - `Long-Click-Tool`: Perform long click on the screen at the given coordinates. - `Type-Tool`: Type text on the specified coordinates (optionally clears existing text). - `Swipe-Tool`: Perform swipe from one location to other. - `Drag-Tool`: Drag from one point to another. - `Press-Tool`: To press the keys on the mobile device (Back, Volume Up, ...etc). - `Wait-Tool`: Pause for a defined duration. - `State-Tool`: Combined snapshot of active apps and interactive UI elements. - `Notification-Tool`: To access the notifications seen on the device. - `Shell-Tool`: To execute shell commands on the android device. ## ⚙️ Environment Variables - `SCREENSHOT_QUANTIZED`: Set to `true` to quantize the screenshot to reduce input tokens. ## ⚠️ Caution Android-MCP can execute arbitrary UI actions on your mobile device. Use it in controlled environments (emulators, test devices) when running untrusted prompts or agents. ## 🪪 License This project is licensed under the MIT License. See [LICENSE](LICENSE) for details. ## 🤝 Contributing Contributions are welcome! Please read [CONTRIBUTING](CONTRIBUTING) for dev setup and PR guidelines. Made with ❤️ by [CursorTouch](https://github.com/cursortouch), developers: [Jeomon George](https://github.com/jeomon), [Muhammad Yaseen](https://github.com/mhmdyaseen) ## Citation ```bibtex @misc{ author = {cursortouch}, title = {Android-MCP}, year = {2025}, publisher = {GitHub}, howpublished = {\url{https://github.com/CursorTouch/Android-MCP}}, note = {Lightweight open-source bridge between LLM agents and Android}, } ```

FAQ

What is the Android MCP MCP server?
Android MCP 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 Android MCP?
This profile displays 63 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 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. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 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)
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Ratings

4.6★★★★★63 reviews
  • ★★★★★Sakshi Patil· Dec 12, 2024

    We wired Android MCP into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • ★★★★★Naina Rao· Dec 4, 2024

    Useful MCP listing: Android MCP is the kind of server we cite when onboarding engineers to host + tool permissions.

  • ★★★★★Nia Harris· Dec 4, 2024

    We evaluated Android MCP against two servers with overlapping tools; this profile had the clearer scope statement.

  • ★★★★★Alexander Abbas· Nov 23, 2024

    Android MCP is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • ★★★★★Dhruvi Jain· Nov 3, 2024

    Android MCP reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • ★★★★★Piyush G· Oct 22, 2024

    Android MCP is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • ★★★★★Mei Taylor· Oct 14, 2024

    Android MCP reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • ★★★★★Arya Johnson· Sep 21, 2024

    Android MCP is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • ★★★★★Arya Smith· Sep 13, 2024

    Android MCP is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • ★★★★★Charlotte Sethi· Sep 5, 2024

    Android MCP has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

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