AndroidBuildMCP
Enables AI agents to build, deploy, drive, and debug Android apps — managing Gradle builds, emulators, adb deployment, logcat capture, and full UI automation.
README
AndroidBuildMCP
Give your AI agent hands on Android. AndroidBuildMCP is an MCP server that lets any MCP client (Claude Code, Cursor, ...) build, deploy, drive and debug real Android apps: Gradle builds with readable errors, emulator management, adb deployment, logcat capture and full UI automation.
Quick start
Requirements: Node 18+, the Android SDK (ANDROID_HOME or a default install), and a JDK 17+ for Gradle builds.
Install from source
git clone https://github.com/dev-jackson/androidbuild-mcp.git
cd androidbuild-mcp
npm install && npm run build
Claude Code
claude mcp add androidbuild -- node /absolute/path/to/androidbuild-mcp/dist/index.js
Any other MCP client
{
"mcpServers": {
"androidbuild": {
"command": "node",
"args": ["/absolute/path/to/androidbuild-mcp/dist/index.js"]
}
}
}
Pending: npm publish. Once the package is on npm, installation will be a single command:
npx -y androidbuild-mcp— no clone or build needed.
Then ask your agent to run doctor — it checks the SDK, adb, emulator, Java and connected devices, and tells you exactly what is missing.
What your agent can do
- Build and test —
build_appcompiles and returns compactfile:linecompiler errors instead of a thousand lines of Gradle noise.test_app/test_instrumentedreturn parsed pass/fail summaries. Lint, clean, coverage (Kover/Jacoco) included. - Manage emulators — list, create, boot (waits for full boot, returns the serial), wipe, and kill AVDs. Set GPS location, dark mode, and a clean demo status bar for screenshots.
- Deploy —
build_runcompiles, installs and launches in one call. Install/uninstall/clear-data/app-info via adb, with the right device auto-selected when only one is connected. - See the screen —
snapshot_uireturns the UI as a compact list of named elements with tap coordinates (Compose semantics merged, noise filtered).screenshotreturns an image; withannotate: trueit draws numbered boxes using vision, catching text inside images and WebViews. - Touch the screen — tap, scroll, swipe, drag, long-press, type (keyboard-aware, with clear/submit), hardware keys, and
wait_for_uito poll until an element appears. - Read the logs — background logcat capture filtered to your app, one-shot dumps, and the crash buffer for stack traces.
- Start new apps —
scaffold_android_projectgenerates a minimal Compose project that builds out of the box.
Session defaults (session_set_defaults) mean you configure project, module, variant and device once — every other call then works without arguments.
Tapping accurately
Everything adb-side shares one coordinate space (device pixels), but MCP clients often display screenshots scaled — estimating pixel positions by eye from the image sends taps to the wrong place. Three safe ways to hit the target:
snapshot_ui— returns exact device-pixel centers for every named element. Preferred.screenshot { annotate: true }+tap_element { element: N }— tap by the number drawn on the image; the mapping is resolved on the original PNG, so client-side scaling cannot distort it.tap { xPct, yPct }— screen percentages (0-1), also available on long_press/swipe/drag. Resolution-independent.
Raw tap { x, y } still works when you have real pixel coordinates.
Reliability
Every tool was exercised against real emulators and real projects — happy paths and corner cases — before release; the scenario-by-scenario evidence is in qa-results.md. Some of the details that keep agent flows from misfiring:
type_textwaits for the soft keyboard before injecting (typing right after focusing a field silently drops the first characters otherwise).scrollcomputes a long, slow swipe from the screen size — short fast swipes get ignored by some lists.long_pressholds 1000 ms, which launchers require.- Taps outside the screen are rejected with the actual screen size instead of silently doing nothing.
- Text-heavy screens (e-book WebViews and the like) are capped and searchable with
snapshot_ui { filter }instead of flooding the context. - Build/test/device failures come back as short, actionable messages with the next tool to call.
Optional extras
- Google's Android CLI enables
screenshot { annotate: true }.doctorprints the one-line installer for your OS. - The ADBKeyboard IME enables non-ASCII
type_text(adb alone is ASCII-only). Install its APK once; the server uses it automatically.
Development
npm install
npm test # unit tests (no real processes spawned)
npm run dev # run the server from source
npm run build # compile to dist/
License
MIT — see LICENSE.
Conceptually inspired by XcodeBuildMCP; independent implementation built around the Android toolchain.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.