by ai-dashboad
AI-powered E2E testing for 10 platforms. 253 MCP tools. Zero config. Works with Claude, Cursor, Windsurf, Copilot. Test Flutter, React Native, iOS, Android, Web, Electron, Tauri, KMP, .NET MAUI — all from natural language.
# Add to your Claude Code skills
git clone https://github.com/ai-dashboad/flutter-skillGuides for using mcp servers skills like flutter-skill.
Last scanned: 5/30/2026
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One prompt. 28 AI-driven actions. Zero test code. The AI explores a TikTok clone, navigates tabs, scrolls feeds, tests search, fills forms — all autonomously.
Writing E2E tests is painful. Maintaining them is worse. flutter-skill takes a different approach:
You: "Test the checkout flow with an empty cart, then add 3 items and complete purchase"
Your AI agent handles the rest — screenshots, taps, text entry, assertions, navigation.
No Page Objects. No XPath. No brittle selectors. Just plain English.
1. Install (30 seconds)
npm install -g flutter-skill
2. Add to your AI (copy-paste into MCP config)
{
"mcpServers": {
"flutter-skill": {
"command": "flutter-skill",
"args": ["server"]
}
}
}
Works with Claude Desktop, Cursor, Windsurf, Copilot, Cline, OpenClaw — any MCP-compatible agent.
3. Add to your app (2 lines for Flutter)
import 'package:flutter_skill/flutter_skill.dart';
void main() {
if (kDebugMode) FlutterSkillBinding.ensureInitialized();
runApp(MyApp());
}
4. Test — just talk to your AI:
"Launch my app, explore every screen, and report any bugs"
That's it. Zero configuration. Zero test code. Works in under 60 seconds.
| Method | Command |
|---|---|
| npm | npm install -g flutter-skill |
| Homebrew | brew install ai-dashboad/flutter-skill/flutter-skill |
| Scoop | scoop install flutter-skill |
| Docker | docker pull ghcr.io/ai-dashboad/flutter-skill |
| pub.dev | dart pub global activate flutter_skill |
| VSCode | Extensions → "Flutter Skill" |
| JetBrains | Plugins → "Flutter Skill" |
| Agent Skill | npx skills add ai-dashboad/flutter-skill |
| Zero-config | flutter-skill init (auto-detects & patches your app) |
Works with any MCP-compatible AI tool. One config line:
{
"mcpServers": {
"flutter-skill": {
"command": "flutter-skill",
"args": ["server"]
}
}
}
| Platform | Config File | Status |
|---|---|---|
| Cursor | .cursor/mcp.json |
✅ |
| Claude Desktop | claude_desktop_config.json |
✅ |
| Windsurf | ~/.codeium/windsurf/mcp_config.json |
✅ |
| VSCode Copilot | .vscode/mcp.json |
✅ |
| Cline | VSCode Settings → Cline → MCP | ✅ |
| OpenClaw | Skill or MCP config | ✅ |
| Continue.dev | .continue/config.json |
✅ |
For standalone browser automation, CI/CD pipelines, or remote access:
# Start server
flutter-skill serve https://your-app.com
# Use CLI client commands
flutter-skill nav https://google.com
flutter-skill snap # Accessibility tree (99% fewer tokens)
flutter-skill screenshot /tmp/ss.jpg
flutter-skill tap "Login"
flutter-skill type "hello@example.com"
flutter-skill eval "document.title"
flutter-skill tools # List all available tools
| Command | Description |
|---|---|
nav <url> |
Navigate to URL |
snap |
Accessibility tree snapshot |
screenshot [path] |
Take screenshot |
tap <text|ref|x y> |
Tap element |
type <text> |
Type via keyboard |
key <key> [mod] |
Press key |
eval <js> |
Execute JavaScript |
title |
Get page title |
text |
Get visible text |
hover <text> |
Hover element |
upload <sel> <file> |
Upload file |
tools |
List tools |
call <tool> [json] |
Call any tool |
Supports --port=N, --host=H flags and FS_PORT/FS_HOST env vars.
server (MCP stdio) |
serve (HTTP) |
|
|---|---|---|
| Use case | IDE / AI agent integration | CLI / automation / CI/CD |
| Protocol | MCP (JSON-RPC over stdio) | HTTP REST |
| Tools | 253 (dynamic per page) | 246 (generic) |
| Browser | Auto-launches Chrome | Connects to existing Chrome |
| Best for | Cursor, Claude, VSCode | OpenClaw, scripts, pipelines |
Full CLI client reference: docs/CLI_CLIENT.md
Most testing tools work on 1-2 platforms. flutter-skill works on 10.
| Platform | SDK | Test Score |
|---|---|---|
| Flutter (iOS/Android/Web) | flutter_skill |
✅ 188/195 |
| React Native | sdks/react-native |
✅ 75/75 |
| Electron | sdks/electron |
✅ 75/75 |
| Tauri (Rust) | sdks/tauri |
✅ 75/75 |
| Android (Kotlin) | sdks/android |
✅ 74/75 |
| KMP Desktop | sdks/kmp |
✅ 75/75 |
| .NET MAUI | sdks/dotnet-maui |
✅ 75/75 |
| iOS (Swift/UIKit) | sdks/ios |
✅ 19/19 |
| Web (any website) | sdks/web |
✅ |
| Web CDP (zero-config) | No SDK needed | ✅ 141/156 |
Total: 656/664 tests passing (98.8%) — each platform tested against a complex social media app with 50+ elements.
Real benchmarks from automated test runs against a complex social media app:
| Operation | Web (CDP) | Electron | Android |
|---|---|---|---|
connect |
93 ms | 55 ms | 103 ms |
tap |
1 ms | 1 ms | 2 ms |
enter_text |
1 ms | 1 ms | 2 ms |
inspect |
3 ms | 12 ms | 10 ms |
snapshot |
2 ms | 8 ms | 29 ms |
screenshot |
31 ms | 80 ms | 88 ms |
eval |
1 ms | — | — |
Token efficiency: snapshot() returns a structured element tree instead of an image — 87–99% fewer tokens than sending screenshots to your AI agent.
How fast is that? A tap takes 1–2 ms end-to-end. Browser automation tools like Playwright and Selenium typically take 50–100 ms for the same operation. That's 50–100× faster, because flutter-skill talks directly to the app runtime instead of going through WebDriver or CDP indirection.
Tested 15 MCP tools against production websites — 75/75 passed, zero timeouts:
| Site | Tools | Total Time | snapshot |
screenshot |
count_elements |
|---|---|---|---|---|---|
| YouTube | 15/15 ✅ | 6.9s | 43 ms | 30 ms | 4 ms |
| Amazon | 15/15 ✅ | 14.2s | 1 ms | 5 ms | 2 ms |
| 15/15 ✅ | 17.9s | 6 ms | 32 ms | 51 ms | |
| Hacker News | 15/15 ✅ | 4.8s | 53 ms | 188 ms | 1 ms |
| Wikipedia | 15/15 ✅ | 7.8s | 15 ms | 336 ms | 1 ms |
Total time includes page load. Tool execution is consistently sub-100ms even on heavy DOM sites.
| flutter-skill | Playwright MCP | Appium | Detox | |
|---|---|---|---|---|
| MCP tools | 253 | ~33 | ❌ | ❌ |
| Platforms | 10 | 1 (web) | Mobile | React Native |
| Setup time | 30 sec | Minutes | Hours | Hours |
| Test code needed | ❌ None | ✅ Yes | ✅ Yes | ✅ Yes |
| AI-native (MCP) | ✅ | ✅ | ❌ | ❌ |
| Self-healing tests | ✅ | ❌ | ❌ | ❌ |
| Monkey/fuzz testing | ✅ | ❌ | ❌ | ❌ |
| Visual regression | ✅ | ❌ | ❌ | ❌ |
| Network mock/replay | ✅ | ❌ | ❌ | ❌ |
| API + UI testing | ✅ | ❌ | ❌ | ❌ |
| Multi-device sync | ✅ | ❌ | Partial | ❌ |
| Accessibility audit | ✅ | ❌ | ❌ | ❌ |
| i18n testing | ✅ | ❌ | ❌ | ❌ |
| Performance monitoring | ✅ | ❌ | ❌ | ❌ |
| Natural language | ✅ | ❌ | ❌ | ❌ |
| Flutter support | ✅ Native | Partial | Partial | ❌ |
| Desktop apps | ✅ | ✅ | ❌ | ❌ |
| **AI page u
flutter-skill is an open-source mcp servers skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by ai-dashboad. AI-powered E2E testing for 10 platforms. 253 MCP tools. Zero config. Works with Claude, Cursor, Windsurf, Copilot. Test Flutter, React Native, iOS, Android, Web, Electron, Tauri, KMP, .NET MAUI — all from natural language. It has 306 GitHub stars.
Yes. flutter-skill passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/ai-dashboad/flutter-skill" and add it to your Claude Code skills directory (see the Installation section above).
flutter-skill is primarily written in Dart. It is open-source under ai-dashboad on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other MCP Servers skills you can browse and compare side by side. Open the MCP Servers category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh flutter-skill against similar tools.
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