30-Second Demo
https://github.com/user-attachments/assets/d4617c73-043f-424c-9a9a-1a61d4c2d3c6
The AI explores a TikTok clone, navigates tabs, scrolls feeds, tests search, fills forms — all autonomously.
Power your agent
คำสั่งของผู้เผยแพร่เอง ไม่ใช่เอนด์พอยต์ของ PlugMCP
Host a copy with our keys and logs.
npx -y [email protected]Claude Code ไม่มีลิงก์ติดตั้งสำหรับคำสั่งแบบโลคัล ให้คัดลอกคำสั่งด้านล่างแล้วรันในเทอร์มินัล
claude mcp add ai-dashboad-flutter-skill -- npx -y flutter-skill@0.9.36รันในเทอร์มินัล
{ "mcpServers": { "ai-dashboad-flutter-skill": { "command": "npx", "args": [ "-y", "[email protected]" ] } }}claude_desktop_config.json
URL แบบรีโมตหรือคำสั่งบนเครื่องของคุณ? การติดตั้งสองแบบต่างกันอย่างไร
รันบน PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
เปิดจากผู้เผยแพร่
https://github.com/user-attachments/assets/d4617c73-043f-424c-9a9a-1a61d4c2d3c6
The AI explores a TikTok clone, navigates tabs, scrolls feeds, tests search, fills forms — all autonomously.
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.
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.
Works with any MCP-compatible AI tool. One config line:
{
"mcpServers": {
"flutter-skill": {
"command": "flutter-skill",
"args": ["server"]
}
}
}
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 "[email protected]"
flutter-skill eval "document.title"
flutter-skill tools # List all available tools
Supports --port=N, --host=H flags and FS_PORT/FS_HOST env vars.
Full CLI client reference: docs/CLI_CLIENT.md
Most testing tools work on 1-2 platforms. flutter-skill works on 10.
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:
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:
Total time includes page load. Tool execution is consistently sub-100ms even on heavy DOM sites.
| AI page understanding | ✅ AX Tree | ❌ Screenshots | ❌ | ❌ | | Boundary/security test | ✅ 13 payloads | ❌ | ❌ | ❌ | | Batch actions | ✅ 5+/call | 1/call | 1/call | 1/call |
flutter-skill is the only AI-native E2E testing tool that works across mobile, web, and desktop — with 7× more tools than the nearest competitor.
# 🤖 AI autonomous exploration — finds bugs automatically
flutter-skill explore https://my-app.com --depth=3
# 🐒 Monkey/fuzz testing — random actions, crash detection
flutter-skill monkey https://my-app.com --actions=100 --seed=42
# 🚀 Parallel multi-platform testing
flutter-skill test --url https://my-app.com --platforms web,electron,android
# 🌐 Zero-config WebMCP server — any website becomes testable
flutter-skill serve https://my-app.com
Most AI testing tools send screenshots to the LLM — each one costs ~4,000 tokens.
flutter-skill uses Chrome's Accessibility Tree to give your AI a compact semantic summary of any page:
// page_summary → ~200 tokens (vs ~4,000 for a screenshot)
{
"title": "Shopping Cart",
"nav": ["Home", "Products", "Cart", "Account"],
"forms": [{"input:Coupon Code": "text"}],
"buttons": ["Apply", "Checkout", "Continue Shopping"],
"features": {"search": true, "pagination": true},
"links": 47, "inputs": 3
}
Then batch multiple actions in one call:
// explore_actions → 5 actions per call (vs 5 separate tool calls)
{"actions": [
{"type": "fill", "target": "input:Coupon Code", "value": "SAVE20"},
{"type": "tap", "target": "button:Apply"},
{"type": "tap", "target": "button:Checkout"},
{"type": "fill", "target": "input:Email", "value": "[email protected]"},
{"type": "tap", "target": "button:Continue"}
]}
Result: Your AI agent tests faster, costs less, and understands pages better than screenshot-based tools.
screenshot — capture the screeninspect_interactive — all tappable/typeable elements with semantic refsfind_element / wait_for_elementget_elements — full element treetap / long_press / swipe / dragenter_text / set_text / clear_textscroll — all directionsgo_back / press_keybutton:Login, input:Emailtap(ref: "button:Submit")launch_app — launch with flavorshot_reload / hot_restartget_logs / get_errorsscan_and_connect — auto-find appsAI Explore: page_summary, explore_actions, boundary_test, explore_report
Launch & Connect: launch_app, scan_and_connect, connect_cdp, hot_reload, hot_restart, list_sessions, switch_session, close_session, disconnect, stop_app
Screen: screenshot, screenshot_region, screenshot_element, native_screenshot, inspect, inspect_interactive, snapshot, get_widget_tree, find_by_type, get_text_content, get_visible_text
Interaction: tap, double_tap, long_press, enter_text, set_text, clear_text, swipe, scroll_to, drag, go_back, press_key, type_text, hover, fill, select_option, set_checkbox, focus, blur, native_tap, native_input_text, native_swipe
Smart Testing: smart_tap, smart_enter_text, smart_assert (self-healing with fuzzy match)
Assertions: assert_text, assert_visible, assert_not_visible, assert_element_count, assert_batch, wait_for_element, wait_for_gone, wait_for_idle, wait_for_stable, wait_for_url, wait_for_text, wait_for_element_count
Visual Regression: visual_baseline_save, visual_baseline_compare, visual_baseline_update, visual_regression_report, visual_verify, visual_diff, compare_screenshot
Network Mock: mock_api, mock_clear, record_network, replay_network, intercept_requests, clear_interceptions, block_urls, http_request
API Testing: api_request, api_assert
Coverage & Reliability: coverage_start, coverage_stop, coverage_report, coverage_gaps, retry_on_fail, stability_check
Data-Driven: test_with_data, generate_test_data
Multi-Device: multi_connect, multi_action, multi_compare, multi_disconnect, parallel_snapshot, parallel_tap
Accessibility: accessibility_audit, a11y_full_audit, a11y_tab_order, a11y_color_contrast, a11y_screen_reader
i18n: set_locale, verify_translations, i18n_snapshot
Performance: perf_start, perf_stop, perf_report, get_performance, get_frame_stats, get_memory_stats
Session: save_session, restore_session, session_diff
Recording & Export: record_start, record_stop, record_export (Playwright, Cypress, XCUITest, Espresso, Detox, Maestro, +5 more), video_start, video_stop
Auth: auth_inject_session, auth_biometric, auth_otp, auth_deeplink
CDP Browser: navigate, reload, go_forward, get_title, get_page_source, eval, get_tabs, new_tab, switch_tab, close_tab, get_cookies, set_cookie, clear_cookies, get_local_storage, set_local_storage, clear_local_storage, generate_pdf, set_viewport, emulate_device, throttle_network, go_offline, set_geolocation, set_timezone, set_color_scheme
Debug: get_logs, get_errors, get_console_messages, get_network_requests, diagnose, diagnose_project, reset_app
dependencies:
flutter_skill: ^0.9.37
import 'package:flutter_skill/flutter_skill.dart';
void main() {
if (kDebugMode) FlutterSkillBinding.ensureInitialized();
runApp(MyApp());
}
npm install flutter-skill-react-native
import FlutterSkill from 'flutter-skill-react-native';
FlutterSkill.start();
npm install flutter-skill-electron
const { FlutterSkillBridge } = require('flutter-skill-electron');
FlutterSkillBridge.start(mainWindow);
// Swift Package Manager: FlutterSkillSDK
import FlutterSkill
FlutterSkillBridge.shared.start()
Text("Hello").flutterSkillId("greeting")
implementation("com.flutterskill:flutter-skill:0.8.0")
FlutterSkillBridge.start(this)
[dependencies]
flutter-skill-tauri = "0.8.0"
Add Gradle dependency — see sdks/kmp for details.
Add NuGet package — see sdks/dotnet-maui for details.
Just tell your AI what to test:
See CONTRIBUTING.md for guidelines.
git clone https://github.com/ai-dashboad/flutter-skill
cd flutter-skill
dart pub get
dart run bin/flutter_skill.dart server # Start MCP server
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
{ "mcpServers": { "ai-dashboad-flutter-skill": { "command": "npx", "args": [ "-y", "[email protected]" ] } }}ภาพรวม
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.
เครื่องมือ
ยังไม่มีรายการเครื่องมือ เซิร์ฟเวอร์แบบรีโมตจะได้รายการหลังการตรวจสอบสถานะครั้งแรก
FAQ
คัดลอกคอนฟิก stdio สำหรับ Cursor, Claude Desktop, Claude Code หรือ VS Code ได้ในหน้านี้ คอนฟิกนี้ใช้การติดตั้งของผู้เผยแพร่ ไม่ใช่พร็อกซีของ PlugMCP
ระเบียนนี้ไม่ได้ระบุตัวแปรสภาพแวดล้อมที่จำเป็น
Flutter Skill ทำงานแบบโลคัลผ่าน stdio
ตรวจสอบล่าสุดเมื่อ 2026-10-26 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.