mcpField
E
e2e-testing

e2e-testing

github.com/ai-dashboadTesting & quality398258 installsUpdated 8w ago
Repository

About e2e-testing

e2e-testing uses flutter-skill to let AI agents test running apps through natural-language actions, without writing test code. It supports eight platforms and provides semantic element references for reliable interaction and state checks.

Key features

  1. 01Eight-platform app testing
  2. 02Screenshot capture and UI inspection
  3. 03Tap, type, scroll, and navigation actions
  4. 04Semantic references for elements
  5. 05App logs and state verification

Use cases

  1. 01Testing login and form flows
  2. 02Verifying navigation between screens
  3. 03Checking UI behavior after interactions
  4. 04Diagnosing unexpected app states

MCP support

flutter-skill is an MCP server that exposes app-control, screenshot, inspection, text, and logging tools to AI agents. Agents use these tools to interact with and verify running apps.

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/ai-dashboad/flutter-skill --skill e2e-testing

After installing, type/e2e-testingin Claude Code to confirm it loaded.

Details

From the project README

AI E2E Testing — 8 Platforms, Zero Test Code

flutter-skill is an MCP server that connects AI agents to running apps across 8 platforms. The agent takes screenshots, taps elements, enters text, scrolls, navigates, inspects UI trees, and verifies state — all through natural language.

Supported Platforms

PlatformSetup
Flutter (iOS/Android/Web)flutter pub add flutter_skill
React Nativenpm install flutter-skill-react-native
Electronnpm install flutter-skill-electron
iOS (Swift/UIKit)SPM: FlutterSkillSDK
Android (Kotlin)Gradle: flutter-skill-android
Tauri (Rust)cargo add flutter-skill-tauri
KMP DesktopGradle dependency
.NET MAUINuGet package

Install

# npm (recommended)
npm install -g flutter-skill

# Homebrew
brew install ai-dashboad/flutter-skill/flutter-skill

# Or download binary from GitHub Releases

MCP Configuration

Add to your AI agent's MCP config (Claude Desktop, Cursor, Windsurf, OpenClaw, etc.):

{
  "mcpServers": {
    "flutter-skill": {
      "command": "flutter-skill",
      "args": ["server"]
    }
  }
}

Quick Start

1. Initialize your app (one-time)
flutter-skill init

Auto-detects project type and patches your app with the testing bridge.

Verify: Output should confirm the project type was detected and main entry point was patched. If it fails, check that you are in the project root and the framework is supported.

2. Launch and connect
flutter-skill launch .

Verify: A VM Service URI appears in the output (e.g. ws://127.0.0.1:50000/ws). If no URI appears, check that Flutter/the target framework is installed and the app compiles.

3. Test with natural language

The agent follows this core loop:

  1. screenshot() — see the current screen
  2. inspect_interactive() — discover all tappable/typeable elements with semantic refs
  3. tap(ref: "button:Login") — tap using stable semantic reference
  4. enter_text(ref: "input:Email", text: "[email protected]") — type into field
  5. wait_for_element(key: "Dashboard") — verify navigation succeeded
  6. screenshot() — confirm final state

If inspect_interactive() returns no elements: Take a screenshot to confirm the screen loaded, then check get_logs() for errors. The app may still be loading — retry after a short wait.

Available MCP Tools

Core Actions
ToolDescription
screenshotCapture current screen as image
tapTap element by key, text, ref, or coordinates
enter_textType text into a field
scrollScroll up/down/left/right
swipeSwipe gesture between points
long_pressLong press an element
dragDrag from point A to B
go_backNavigate back
press_keySend keyboard key events
Inspection
ToolDescription
inspect_interactiveGet all interactive elements with semantic ref IDs
get_elementsList all elements on screen
find_elementFind element by key or text
wait_for_elementWait for element to appear (with timeout)
get_element_propertiesGet detailed properties of an element
Text Manipulation
ToolDescription
set_textReplace text in a field
clear_textClear a text field
get_textRead text content
App Control
ToolDescription
get_logsRead app logs
clear_logsClear log buffer

Semantic Refs

inspect_interactive returns elements with stable semantic reference IDs:

button:Login          → Login button
input:Email           → Email text field
toggle:Dark Mode      → Dark mode switch
button:Submit[1]      → Second Submit button (disambiguated)

Format: {role}:{content}[{index}]

7 roles: button, input, toggle, slider, select, link, item

Use refs for reliable element targeting that survives UI changes:

tap(ref: "button:Login")
enter_text(ref: "input:Email", text: "[email protected]")

Testing Workflow

Core Loop
screenshot() → inspect_interactive() → tap/enter_text → screenshot() → verify

Always call screenshot() before and after actions. Use wait_for_element() after navigation — apps need time to transition.

Validation Checkpoints
  • After screenshot(): Confirm the expected screen is visible before acting.
  • After tap() or enter_text(): Call screenshot() to verify the UI responded.
  • After navigation: Use wait_for_element(key: "target_screen") with a timeout. If it times out, call screenshot() and get_logs() to diagnose.
  • On unexpected state: Call get_logs() and inspect_interactive() to understand what elements are present.
Element Targeting Priority
  1. ref: (most reliable) — semantic ref from inspect_interactive()
  2. key: — widget key set by the developer
  3. text: — visible text content (fragile if text changes)
  4. Coordinates — last resort, breaks on different screen sizes

Links

Comments

Markdown supported