Android MCP Server

The Android MCP Server bridges the gap between AI assistants and real‑world Android devices by exposing a rich set of device‑management capabilities through the Model Context Protocol. By running this server on a machine that has ADB configured, developers can give Claude or other MCP‑enabled tools the ability to inspect, control, and interact with any connected Android phone or emulator. This removes the need for manual ADB sessions or custom tooling, allowing AI assistants to become first‑class collaborators in mobile development workflows.

At its core, the server offers a suite of intuitive tools that map directly to common ADB operations. Developers can execute arbitrary shell commands, pull screenshots, enumerate installed packages, and query the current UI hierarchy for clickable elements. These primitives are wrapped in simple function calls that return human‑readable strings or images, making it trivial for an assistant to present information back to the user. For example, a code editor could ask “Show me all clickable buttons on the current screen” and receive a formatted list of elements with coordinates, enabling automated UI testing or accessibility audits.

The value for developers lies in the automation and contextual awareness this server brings. In a typical workflow, an assistant can first capture a screenshot to confirm the visual state of an app, then retrieve the UI layout to identify target elements, and finally send ADB commands to simulate taps or inputs. This end‑to‑end interaction can be scripted within a conversational prompt, allowing rapid prototyping of UI flows or debugging of device‑specific issues without leaving the editor. The ability to list installed packages and their action intents also supports package‑level analysis, such as detecting unused apps or verifying intent filters during security reviews.

Key capabilities include:

• ADB Command Execution – run any shell command on the device and view output.
• Screenshot Capture – obtain a real‑time image of the device’s display.
• UI Layout Analysis – retrieve detailed information about clickable UI elements, including bounds and center points.
• Package Management – list all installed packages and query action intents for a given package.

These features enable real‑world scenarios such as automated UI testing, dynamic debugging sessions, accessibility compliance checks, and continuous integration pipelines that interact with physical or emulated devices. By integrating the server into an MCP client, developers can harness AI assistants to orchestrate complex device interactions with a few natural language commands, dramatically accelerating mobile development and testing cycles.