Potencia tu agente
El comando propio del publicador. No es un endpoint de PlugMCP.
Host a copy with our keys and logs.
npx -y [email protected]Claude Code no tiene enlace de instalación para un comando local. Copia el comando de abajo y ejecútalo en una terminal.
claude mcp add io.github.ai-dashboad-flutter-skill -- npx -y flutter-skill@0.9.36Ejecútalo en una terminal.
{ "mcpServers": { "io.github.ai-dashboad-flutter-skill": { "command": "npx", "args": [ "-y", "[email protected]" ] } }}claude_desktop_config.json
¿URL remota o un comando en tu máquina? En qué se diferencian las dos instalaciones
Ejecutar en 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.
AbrirDel publicador
https://github.com/user-attachments/assets/d4617c73-043f-424c-9a9a-1a61d4c2d3c6
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.
AI-powered E2E testing for 10 platforms. 253 MCP tools. Zero test code needed.
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 test code needed.
{ "mcpServers": { "io.github.ai-dashboad-flutter-skill": { "command": "npx", "args": [ "-y", "[email protected]" ] } }}Herramientas
Aún no hay lista de herramientas. Los servidores remotos la reciben tras la primera comprobación de estado.
Preguntas frecuentes
Copia en esta página la configuración stdio para Cursor, Claude Desktop, Claude Code o VS Code. Usa la instalación del publicador, no un proxy de PlugMCP.
Este registro no indica ninguna variable de entorno obligatoria.
Flutter Skill se ejecuta localmente por stdio.
Última comprobación: 2026-11-09. AI-powered E2E testing for 10 platforms. 253 MCP tools. Zero test code needed.