mcp-server-adb – Android Device Control via MCP

mcp‑server‑adb is a TypeScript implementation of the Model Context Protocol that exposes a rich set of Android Debug Bridge (ADB) capabilities to AI assistants. By turning ADB into an MCP server, developers can let Claude or other assistants discover connected devices, query hardware details, manage apps, and perform direct UI interactions—all through simple, declarative calls.

The server solves a common pain point in mobile automation: bridging the gap between low‑level ADB commands and high‑level AI reasoning. Instead of scripting shell commands or writing custom adapters, an assistant can request a device list, tap coordinates, or capture a screenshot with a single resource or tool invocation. This streamlines workflows for testing, debugging, and device management, allowing the assistant to act as a unified interface that understands both the intent (e.g., “show me the battery level”) and the underlying system calls required to satisfy it.

Key features include:

• Device discovery () and detailed queries (, ) that give the assistant full visibility into connected hardware.
• Screen capture () and UI interaction tools (, , , ), enabling the assistant to simulate user actions or inspect visual states.
• Device lifecycle control (, ) for managing sessions in multi‑device environments.
• Future‑ready application management hooks (, , , ) that will let the assistant deploy and control apps directly.
• Analysis prompts (, , ) that trigger introspection routines, returning structured summaries of device status or screen content.

Typical use cases involve:

• Automated testing: A QA engineer can ask the assistant to run a test suite, capture failures, and report device health without leaving the conversational interface.
• Rapid prototyping: Designers can prototype UI flows by having the assistant tap or swipe on a real device, instantly seeing the result.
• Remote debugging: Network‑enabled devices can be managed over Wi‑Fi, allowing on‑site developers to issue commands from a laptop or even via voice through the assistant.
• Continuous integration pipelines: CI tools can invoke the MCP server to provision devices, install builds, and collect logs as part of a larger automated workflow.

Integrating mcp‑server‑adb into an AI workflow is straightforward: once the server is running, any MCP‑compatible client (Claude Desktop, other assistants) can register it and start issuing resource or tool calls. The server translates these into ADB shell commands, returns structured results, and even provides prompts that let the assistant perform deeper diagnostics. This tight coupling gives developers a single, AI‑driven channel to control Android devices, dramatically reducing context switching and accelerating mobile development cycles.