flutter-skill – MCP Server for Cross-Platform AI Agent Testing

TL;DR

TL;DR: flutter-skill is an open-source MCP server that lets any AI agent (Claude, Cursor, Copilot, Windsurf) control real apps across 10 platforms \u2014 iOS, Android, Web, Electron, Flutter, React Native, Tauri, .NET MAUI, and more \u2014 with zero test code.

What Is flutter-skill?

flutter-skill is an open-source MCP server that connects AI coding assistants directly to running applications. Instead of writing Page Objects, XPath selectors, or brittle test scripts, you describe what you want in plain English and the AI drives the app autonomously.

The project describes itself as:

Give any AI agent eyes and hands inside any running app. 10 platforms. Zero test code. One MCP server.

Key Features

• MCP-native \u2014 registers as a standard MCP server; add it to any MCP-compatible AI client in two lines of JSON config
• 10 platform support \u2014 Flutter, React Native, iOS (Swift), Android (Kotlin), Web (Playwright), Electron, Tauri, .NET MAUI, Kotlin Multiplatform Desktop
• Zero test code \u2014 no Page Objects, no XPath, no brittle selectors; plain English prompts drive the AI
• Works with your existing AI stack \u2014 Claude, Cursor, Windsurf, Copilot, OpenClaw all supported
• Screenshots at every step \u2014 the AI sees your app\u2019s actual UI as it navigates

Installation

Install the CLI globally via npm:

npm install -g flutter-skill

Add it to your MCP configuration. For Cursor, edit your MCP settings:

{
  "mcpServers": {
    "flutter-skill": {
      "command": "flutter-skill",
      "args": ["server"]
    }
  }
}

For Claude Desktop, add to your claude_desktop_config.json:

{
  "mcpServers": {
    "flutter-skill": {
      "command": "flutter-skill",
      "args": ["server"]
    }
  }
}

Usage with AI Assistants

Once installed and configured, you interact with your AI by describing test scenarios in plain English:

| Prompt | What happens | |--------|-------------| | Test login with wrong password | AI enters creds, taps login, verifies the error message | | Explore every screen and report bugs | Systematically navigates all screens, tests all interactive elements | | Fill registration with edge cases | Tests emoji, long strings, empty fields, special characters | | Compare checkout on iOS and Android | Runs the same scenario on both platforms, captures screenshots for comparison |

SDK Support

Beyond the CLI, flutter-skill ships native SDKs for embedding into your app\u2019s build pipeline:

// Android (Kotlin)
implementation("com.flutterskill:flutter-skill:0.8.0")
FlutterSkillBridge.start(this)

// iOS (Swift) via Swift Package Manager
import FlutterSkill
FlutterSkillBridge.shared.start()

Why Not Playwright, Appium, or Detox?

The project directly addresses this in its README. Those tools require writing test code in the tool\u2019s own DSL. flutter-skill flips the model: the AI writes and executes the actions, guided by plain English from you. There is no test code to maintain, no selectors to update when the UI changes, and no DSL to learn.

Project Metadata

• License: MIT
• Stars: 324
• Default branch: main
• Repository: github.com/ai-dashboad/flutter-skill
• Package registry: npm, pub.dev

Source and Accuracy Notes

\u26a0\ufe0f This section is MANDATORY. All links must be verified from actual source, not guessed.

• Project page: github.com/ai-dashboad/flutter-skill \u2192 MUST read README
• npm package: npmjs.com/package/flutter-skill \u2192 verified npm install command
• License: MIT \u2192 verified from repository LICENSE file
• HN launch thread: news.ycombinator.com/item?id=47120105
• Source last checked: 2026-07-16 (commit main branch, README v2)

FAQ

Q: Does this replace Playwright or Appium? A: No. It is an MCP wrapper around those platforms. You still need Playwright/Appium/Detox installed for web and mobile testing respectively. flutter-skill adds an AI-native interface on top.

Q: Which AI models work best with it? A: Any MCP-compatible model works. The README lists Claude, Cursor, Windsurf, Copilot, and OpenClaw as tested clients. Models with stronger visual reasoning tend to produce better results when screenshots are involved.

Q: Is it free? A: The MCP server itself is open-source under MIT. The platform SDKs (iOS Swift, Android Kotlin, Tauri, .NET MAUI) are also MIT. No paid tier or API key is required.

Q: What platforms require native SDK setup vs. just the CLI? A: Web, Electron, and Flutter can be tested with the CLI alone. iOS, Android, .NET MAUI, Kotlin Multiplatform, React Native, and Tauri require adding the platform-specific SDK to your app project first.

Conclusion

flutter-skill solves the most tedious part of AI-assisted testing: you no longer need to write code that clicks buttons, fills forms, or navigates screens. Instead, you describe the scenario in English and the AI does the rest. For developers building cross-platform apps and wanting to integrate AI-driven testing without a new DSL to learn, it is worth trying.

Try it: npm install -g flutter-skill and add it to your AI client\u2019s MCP config.