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io.github.ai-dashboad/flutter-skill MCP Server

io.github.ai-dashboad/flutter-skill

AI-native E2E testing across 10 platforms with 253 MCP tools and zero test code.

What is the io.github.ai-dashboad/flutter-skill MCP server?

flutter-skill is an MCP server that connects AI agents like Claude, Cursor, and Windsurf directly to running apps for AI-driven end-to-end testing, exposing 253 MCP tools across 10 platforms (Flutter, React Native, Electron, Tauri, Android, KMP Desktop, .NET MAUI, iOS, Web, and Web CDP). It lets an AI agent see the screen (via screenshots or a compact accessibility-tree snapshot) and interact with the app (tap, type, scroll, swipe) using natural language instead of hand-written test scripts. It requires no test code, selectors, or Page Objects — you install it, add a small SDK snippet to your app, and describe what to test in plain English.

flutter-skill is an MCP server that gives AI coding agents "eyes and hands" inside any running app — Flutter, React Native, Electron, Tauri, Android, iOS, .NET MAUI, KMP Desktop, or any website. Instead of writing brittle Page Objects or XPath selectors, you describe test scenarios in plain English and the connected AI agent (Claude, Cursor, Windsurf, Copilot, Cline, OpenClaw) performs the taps, text entry, scrolling, and assertions itself. It runs in two modes: an MCP stdio server for IDE/agent integration (253 dynamic tools) and an HTTP serve mode for CLI automation and CI/CD (246 generic tools), plus supports accessibility-tree snapshots for far lower token usage than screenshot-based testing, visual regression, network mocking, monkey/fuzz testing, multi-device sync, accessibility audits, i18n testing, and exporting recorded flows to Playwright/Cypress/XCUITest/Espresso/Detox/Maestro.</overview> <parameter name="tags">["MCP server", "E2E testing", "Flutter", "mobile testing", "browser automation", "AI agent testing", "accessibility tree", "no-code testing"]

How to install io.github.ai-dashboad/flutter-skill

Copy-paste configuration for popular MCP clients.

transport: stdio
Config generated by PluginBench — verify against the source before use.
Claude Desktop
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "flutter-skill": {
      "command": "npx",
      "args": [
        "-y",
        "flutter-skill"
      ]
    }
  }
}
Cursor
~/.cursor/mcp.json
{
  "mcpServers": {
    "flutter-skill": {
      "command": "npx",
      "args": [
        "-y",
        "flutter-skill"
      ]
    }
  }
}
Windsurf
~/.codeium/windsurf/mcp_config.json
{
  "mcpServers": {
    "flutter-skill": {
      "command": "npx",
      "args": [
        "-y",
        "flutter-skill"
      ]
    }
  }
}
VS Code
.vscode/mcp.json
{
  "servers": {
    "flutter-skill": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "flutter-skill"
      ]
    }
  }
}
Claude Code
claude mcp add flutter-skill -- npx -y flutter-skill

Use cases

  • Autonomously explore an app's screens and report bugs by describing the goal in plain English
  • Test complex flows like checkout, forms, and navigation without writing Page Objects or XPath selectors
  • Run monkey/fuzz testing with random actions to find crashes across web, mobile, and desktop builds
  • Perform visual regression, accessibility audits, i18n verification, and network mocking as part of CI/CD
  • Record a manual test session and export it to Playwright, Cypress, XCUITest, Espresso, Detox, or Maestro test code
README (reference)

Source of truth, from the repository.

<p align="center"> <a href="https://github.com/ai-dashboad/flutter-skill"> <img src="assets/demo-teaser.gif" alt="flutter-skill CLI demo — nav, tap, type, screenshot across websites" width="640"> </a> </p> <h1 align="center">flutter-skill</h1> <p align="center"> <strong>Give any AI agent eyes and hands inside any running app.</strong><br> 10 platforms. Zero test code. One MCP server. </p> <p align="center"> <a href="https://github.com/ai-dashboad/flutter-skill/stargazers"><img src="https://img.shields.io/github/stars/ai-dashboad/flutter-skill?style=flat&color=yellow" alt="Stars"></a> <a href="https://pub.dev/packages/flutter_skill"><img src="https://img.shields.io/pub/v/flutter_skill.svg" alt="pub.dev"></a> <a href="https://www.npmjs.com/package/flutter-skill"><img src="https://img.shields.io/npm/v/flutter-skill.svg" alt="npm"></a> <a href="https://github.com/ai-dashboad/flutter-skill/actions"><img src="https://img.shields.io/github/actions/workflow/status/ai-dashboad/flutter-skill/ci.yml?label=tests" alt="CI"></a> <a href="LICENSE"><img src="https://img.shields.io/badge/license-MIT-blue.svg" alt="License"></a> </p> <p align="center"> <a href="#30-second-demo">Demo</a> • <a href="#quick-start">Quick Start</a> • <a href="#use-with-ai-platforms">AI Platforms</a> • <a href="#10-platforms-one-tool">Platforms</a> • <a href="#why-not-playwright--appium--detox">vs Others</a> • <a href="docs/USAGE_GUIDE.md">Docs</a> </p> <p align="center"><b>🚀 Zero config. Zero test code. Just talk to your AI.</b></p> <p align="center"><sub>If this saves you time, please consider <a href="https://github.com/ai-dashboad/flutter-skill/stargazers">starring the repo ⭐</a> — it helps others find it!</sub></p>

30-Second Demo

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.


Why This Exists

Writing E2E tests is painful. Maintaining them is worse. flutter-skill takes a different approach:

  • 🔌 Connects any AI agent (Claude, Cursor, Windsurf, Copilot, OpenClaw) directly to your running app via MCP
  • 👀 The agent sees your screen — taps buttons, types text, scrolls, navigates — like a human tester who never sleeps
  • Zero test code — no Page Objects, no XPath, no brittle selectors. Just plain English
  • Zero config — 2 lines of code, works on all 10 platforms
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.

Quick Start

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.

<details> <summary>📦 More install methods (Homebrew, Scoop, Docker, IDE, Agent Skill)</summary>
MethodCommand
npmnpm install -g flutter-skill
Homebrewbrew install ai-dashboad/flutter-skill/flutter-skill
Scoopscoop install flutter-skill
Dockerdocker pull ghcr.io/ai-dashboad/flutter-skill
pub.devdart pub global activate flutter_skill
VSCodeExtensions → "Flutter Skill"
JetBrainsPlugins → "Flutter Skill"
Agent Skillnpx skills add ai-dashboad/flutter-skill
Zero-configflutter-skill init (auto-detects & patches your app)
</details>

Use with AI Platforms

MCP Server Mode (IDE Integration)

Works with any MCP-compatible AI tool. One config line:

{
  "mcpServers": {
    "flutter-skill": {
      "command": "flutter-skill",
      "args": ["server"]
    }
  }
}
PlatformConfig FileStatus
Cursor.cursor/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json
VSCode Copilot.vscode/mcp.json
ClineVSCode Settings → Cline → MCP
OpenClawSkill or MCP config
Continue.dev.continue/config.json

HTTP Serve Mode (CLI & Automation)

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
CommandDescription
nav <url>Navigate to URL
snapAccessibility 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
titleGet page title
textGet visible text
hover <text>Hover element
upload <sel> <file>Upload file
toolsList tools
call <tool> [json]Call any tool

Supports --port=N, --host=H flags and FS_PORT/FS_HOST env vars.

Two Modes Compared

server (MCP stdio)serve (HTTP)
Use caseIDE / AI agent integrationCLI / automation / CI/CD
ProtocolMCP (JSON-RPC over stdio)HTTP REST
Tools253 (dynamic per page)246 (generic)
BrowserAuto-launches ChromeConnects to existing Chrome
Best forCursor, Claude, VSCodeOpenClaw, scripts, pipelines

Full CLI client reference: docs/CLI_CLIENT.md


10 Platforms, One Tool

Most testing tools work on 1-2 platforms. flutter-skill works on 10.

PlatformSDKTest Score
Flutter (iOS/Android/Web)flutter_skill✅ 188/195
React Nativesdks/react-native✅ 75/75
Electronsdks/electron✅ 75/75
Tauri (Rust)sdks/tauri✅ 75/75
Android (Kotlin)sdks/android✅ 74/75
KMP Desktopsdks/kmp✅ 75/75
.NET MAUIsdks/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.


⚡ Performance

Real benchmarks from automated test runs against a complex social media app:

OperationWeb (CDP)ElectronAndroid
connect93 ms55 ms103 ms
tap1 ms1 ms2 ms
enter_text1 ms1 ms2 ms
inspect3 ms12 ms10 ms
snapshot2 ms8 ms29 ms
screenshot31 ms80 ms88 ms
eval1 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.

Heavy DOM Sites (Real-World)

Tested 15 MCP tools against production websites — 75/75 passed, zero timeouts:

SiteToolsTotal Timesnapshotscreenshotcount_elements
YouTube15/15 ✅6.9s43 ms30 ms4 ms
Amazon15/15 ✅14.2s1 ms5 ms2 ms
Reddit15/15 ✅17.9s6 ms32 ms51 ms
Hacker News15/15 ✅4.8s53 ms188 ms1 ms
Wikipedia15/15 ✅7.8s15 ms336 ms1 ms

Total time includes page load. Tool execution is consistently sub-100ms even on heavy DOM sites.


Why Not Playwright / Appium / Detox?

flutter-skillPlaywright MCPAppiumDetox
MCP tools253~33
Platforms101 (web)MobileReact Native
Setup time30 secMinutesHoursHours
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 syncPartial
Accessibility audit
i18n testing
Performance monitoring
Natural language
Flutter support✅ NativePartialPartial
Desktop apps

| 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.


CLI Commands

# 🤖 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

🧠 AI-Native: 95% Fewer Tokens

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": "test@example.com"},
  {"type": "tap", "target": "button:Continue"}
]}

Result: Your AI agent tests faster, costs less, and understands pages better than screenshot-based tools.

flutter-skillScreenshot-based tools
Tokens per page~200~4,000
Actions per call5+1
Understands semantics✅ roles, names, state❌ pixels only
Works with Shadow DOM

What It Can Do

<table> <tr> <td width="50%" valign="top">

👀 See

  • screenshot — capture the screen
  • inspect_interactive — all tappable/typeable elements with semantic refs
  • find_element / wait_for_element
  • get_elements — full element tree
</td> <td width="50%" valign="top">

👆 Interact

  • tap / long_press / swipe / drag
  • enter_text / set_text / clear_text
  • scroll — all directions
  • go_back / press_key
</td> </tr> <tr> <td valign="top">

🔍 Inspect (v0.8.0)

  • Semantic refs: button:Login, input:Email
  • Stable across UI changes
  • tap(ref: "button:Submit")
  • 7 roles: button, input, toggle, slider, select, link, item
</td> <td valign="top">

🚀 Control

  • launch_app — launch with flavors
  • hot_reload / hot_restart
  • get_logs / get_errors
  • scan_and_connect — auto-find apps
</td> </tr> </table> <details> <summary><strong>253 tools — full reference</strong></summary>

AI 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

</details>

Platform Setup

<details> <summary><strong>Flutter</strong> (iOS / Android / Web)</summary>
dependencies:
  flutter_skill: ^0.9.36
import 'package:flutter_skill/flutter_skill.dart';

void main() {
  if (kDebugMode) FlutterSkillBinding.ensureInitialized();
  runApp(MyApp());
}
</details> <details> <summary><strong>React Native</strong></summary>
npm install flutter-skill-react-native
import FlutterSkill from 'flutter-skill-react-native';
FlutterSkill.start();
</details> <details> <summary><strong>Electron</strong></summary>
npm install flutter-skill-electron
const { FlutterSkillBridge } = require('flutter-skill-electron');
FlutterSkillBridge.start(mainWindow);
</details> <details> <summary><strong>iOS (Swift)</strong></summary>
// Swift Package Manager: FlutterSkillSDK
import FlutterSkill
FlutterSkillBridge.shared.start()

Text("Hello").flutterSkillId("greeting")
</details> <details> <summary><strong>Android (Kotlin)</strong></summary>
implementation("com.flutterskill:flutter-skill:0.8.0")

FlutterSkillBridge.start(this)
</details> <details> <summary><strong>Tauri (Rust)</strong></summary>
[dependencies]
flutter-skill-tauri = "0.8.0"
</details> <details> <summary><strong>KMP Desktop</strong></summary>

Add Gradle dependency — see sdks/kmp for details.

</details> <details> <summary><strong>.NET MAUI</strong></summary>

Add NuGet package — see sdks/dotnet-maui for details.

</details>

Example Prompts

Just tell your AI what to test:

PromptWhat happens
"Test login with wrong password"Screenshots → enters creds → taps login → verifies error
"Explore every screen and report bugs"Systematically navigates all screens, tests all elements
"Fill registration with edge cases"Tests emoji 🌍, long strings, empty fields, special chars
"Compare checkout flow on iOS and Android"Runs same test on both platforms, compares screenshots
"Take screenshots of all 5 tabs"Taps each tab, captures state

Contributing

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

Links

📦 pub.dev🧩 VSCode
📦 npm🧩 JetBrains
🍺 Homebrew📖 Docs
🤖 Agent Skill📋 Changelog

<p align="center"> <strong>⭐ If flutter-skill saves you time, star it so others can find it too!</strong> </p> <p align="center">MIT License © 2025</p>

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