io.github.telsav/flutter-skill MCP Server
io.github.telsav/flutter-skill
Give any AI agent eyes and hands inside your app — E2E testing across 10 platforms with zero test code.
What is the io.github.telsav/flutter-skill MCP server?
flutter-skill is an MCP server that gives AI agents (Claude, Cursor, Windsurf, Copilot, etc.) direct control over running apps for E2E testing — screenshots, taps, typing, navigation, and assertions — without writing test code. It works across 10 platforms including Flutter, React Native, Electron, Tauri, Android, iOS, .NET MAUI, KMP Desktop, and any website, exposing 40+ (up to 253) tools over MCP or HTTP.
flutter-skill turns any running app into an AI-testable surface by bridging AI agents to app runtimes via the Model Context Protocol. Instead of writing Page Objects, XPath selectors, or brittle test scripts, developers describe test scenarios in plain English and the AI agent uses flutter-skill's tools to see the screen (screenshots, accessibility snapshots), interact (tap, type, scroll, swipe), and assert outcomes. It supports 10 platforms (Flutter, React Native, Electron, Tauri, Android, iOS, .NET MAUI, KMP Desktop, web, and web via CDP with zero config), and offers advanced capabilities like self-healing smart actions, visual regression, network mocking, accessibility audits, i18n testing, performance monitoring, and multi-device testing. It can run as an MCP stdio server for IDE integration or as an HTTP server for CLI/CI automation, and uses accessibility-tree snapshots instead of screenshots to cut token usage by ~95%.
How to install io.github.telsav/flutter-skill
Copy-paste configuration for popular MCP clients.
{
"mcpServers": {
"flutter-skill": {
"command": "npx",
"args": [
"-y",
"flutter-skill"
]
}
}
}{
"mcpServers": {
"flutter-skill": {
"command": "npx",
"args": [
"-y",
"flutter-skill"
]
}
}
}{
"mcpServers": {
"flutter-skill": {
"command": "npx",
"args": [
"-y",
"flutter-skill"
]
}
}
}{
"servers": {
"flutter-skill": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"flutter-skill"
]
}
}
}claude mcp add flutter-skill -- npx -y flutter-skillUse cases
- Autonomously explore an app's screens and report bugs via natural-language prompts
- Automate checkout/login/form flows across web, mobile, and desktop apps without writing test scripts
- Run monkey/fuzz testing to find crashes with configurable seeds and action counts
- Perform visual regression testing by saving and comparing screenshot baselines
- Audit accessibility (contrast, tab order, screen reader) and verify i18n translations
- Mock and record network requests/APIs during UI test flows
README (reference)
Source of truth, from the repository.
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>| 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) |
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"]
}
}
}
| 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 | ✅ |
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
| 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.
Two Modes Compared
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
10 Platforms, One Tool
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.
⚡ Performance
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.
Heavy DOM Sites (Real-World)
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.
Why Not Playwright / Appium / Detox?
| 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 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-skill | Screenshot-based tools | |
|---|---|---|
| Tokens per page | ~200 | ~4,000 |
| Actions per call | 5+ | 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 screeninspect_interactive— all tappable/typeable elements with semantic refsfind_element/wait_for_elementget_elements— full element tree
👆 Interact
tap/long_press/swipe/dragenter_text/set_text/clear_textscroll— all directionsgo_back/press_key
🔍 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
🚀 Control
launch_app— launch with flavorshot_reload/hot_restartget_logs/get_errorsscan_and_connect— auto-find apps
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
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.
Add NuGet package — see sdks/dotnet-maui for details.
Example Prompts
Just tell your AI what to test:
| Prompt | What 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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