AI mobile QA and test automation — on real Android devices.
Drive real apps on a real phone with an AI agent: it reads canvas, WebView and game UIs via on-device OCR where selector-based tools go blind, and replays deterministic macros with no flaky tests. MCP-native — connect Claude, Cursor, or any agent.
Selector-based mobile testing breaks where it matters most.
Canvas & WebView are invisible
Appium/Espresso need element IDs. Games, Flutter/canvas screens, charts and embedded WebViews expose none — so those flows go untested.
Flaky tests erode trust
Brittle locators break on every layout tweak; teams spend more time fixing tests than shipping. "Re-run until green" isn't a strategy.
Emulators aren't reality
Real logins, real payment sheets, and anti-bot checks behave differently on a real device — the only place a real regression shows up.
An AI agent with real hands — and eyes that read pixels.
Sees anything via on-device OCR
Reads text and targets from canvas, WebView and game screens — no element IDs required — so you can verify and act on UIs selectors can't reach.
Deterministic macro replay
Record a regression flow once, replay it exactly every run with zero AI cost per run, and export results to CSV for data-driven test sets.
Real devices, real signals
Genuine taps, typing and gestures through Android's accessibility layer on a real phone — the conditions your users actually hit.
MCP-native, fits your CI
One URL exposes the full toolset to any MCP client (Claude, Cursor, your own agent), so it slots into agent-driven and scripted pipelines alike.
Complement your stack — don't rip it out.
| Layer | Best tool | What ScreenHand adds |
|---|---|---|
| Native element flows | Appium · Espresso · Maestro | Keep them — they're great with element IDs. |
| Canvas / WebView / games | — | OCR + vision reads and acts where selectors don't exist. |
| Exploratory / agentic checks | — | An AI agent navigates new flows from a plain-English goal. |
| Repeatable regression | Scripted suites | Record-once macros replay deterministically, $0 per run. |
Mobile QA — straight answers.
Is ScreenHand an Appium or Maestro alternative?
It's complementary. Appium, Espresso and Maestro drive elements by selectors; ScreenHand adds an AI agent plus on-device OCR/vision that reads and acts on canvas, WebView and game UIs where selectors don't exist.
Real devices or emulators?
Real Android devices — real accounts, real logins, and no anti-bot tripwires that emulators trigger.
How do you avoid flaky tests?
Record a flow once and replay it as a deterministic macro — same steps every run, no AI cost per run, with CSV output for data-driven runs.
How does it integrate with our stack?
ScreenHand speaks the Model Context Protocol (MCP), so any MCP-compatible client — Claude Code, Claude Desktop, Cursor — drives the device through one URL.
Test the flows your current tools can't reach.
Free during beta. Install on a real device and connect your agent in one line.