Playwright MCP Explorer
An intelligent tool that uses MCP to autonomously explore websites and generate Playwright tests from natural language descriptions.
WIP # - Currently under construction
Playwright_MCP_Explorer
Intelligent Playwright test generation tool using MCP that both autonomously explores websites and generates tests, as well as generates specific scenarios based on the user's verify statements.
MCP-Playwright is a revolutionary automated testing framework that combines the power of Model Context Protocol (MCP) with Playwright to generate comprehensive test suites using natural language descriptions and autonomous website exploration.
Key Features
-AI-Powered Test Generation: Convert natural language statements into robust Playwright tests
-Autonomous Website Exploration-Automatically discover and test website functionality Natural Language Scenarios
-Write tests using simple verify statements
-Smart Selector Generation-Automatically generates resilient, maintainable selectors
-Cross-Browser Testing-Run tests across Chromium, Firefox, and WebKit
1. Natural Language Test Generation Write simple verify statements and let AI generate comprehensive tests:
2. Autonomous Website Exploration Let the system explore websites and generate tests automatically:
Prerequisites Node.js 18+ npm or yarn Git
Installation
1. Clone the repository
git clone https://github.com/yourusername/mcp-playwright-suite.git
,cd mcp-playwright-suite
2. Install dependencies
npm install
3. Install Playwright browsers
npx playwright install --with-deps
4. Build the project
npm run build
Usage Examples
Natural Language Test Generation
1. Edit scenarios in test-data/scenarios.json:
"scenarios": [
{
"id": "login-flow",
"name": "User Login Flow",
"url": "https://myapp.com/login",
"verifyStatements": [
"Verify email field exists",
"Verify password field exists",
"Verify login button is present",
"Verify form validation shows error for invalid email"
]
}
]
}
2. Generate tests:
npm run mcp:generate scenarios
3. Run tests:
npm test tests/generated/login-flow.spec.ts
4. Website Exploration
npm run mcp:generate explore https://github.com "GitHub Homepage Test"
5. Interactive mode for multiple operations
npm run mcp:generate interactive
AI-Powered Features
Smart Natural Language Processing
The system understands various types of verify statements:
Presence checks: "is present", "exists", "is visible"
Text content: "contains", "displays", "shows"
State checks: "disabled", "enabled", "checked"
Validation: "shows error", "validation"
Intelligent Selector Generation Automatically maps natural language to robust selectors:
"header" → header, h1, h2, h3, h4, h5, h6
"navigation menu" → nav, .nav, .navigation, .menu
"submit button" → button[type="submit"], input[type="submit"]
"email field" → input[type="email"], input[name*="email"]
Test Quality Features
-Resilient Selectors - Prioritizes data-testid, aria-label, and semantic selectors
-Wait Conditions - Automatic handling of dynamic content loading
-Error Handling - Screenshot capture on test failures
-Cross-Browser - Tests run on Chromium, Firefox, and WebKit
-Parallel Execution - Fast test execution with worker processes
MCP Server Configuration ( mcp-config.json)
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-filesystem", "./tests", "./test-data"]
}
},
"testGeneration": {
"outputDir": "./tests/generated",
"defaultTimeout": 30000,
"browsers": ["chromium", "firefox", "webkit"]
}
}
Playwright Configuration Fully configurable through playwright.config.ts with sensible defaults for:
-Multi-browser testing
-Parallel execution
-HTML reporting
-Screenshot and video capture
Available Commands
Test Generation
npm run mcp:generate scenarios # Generate from scenarios file
npm run mcp:generate explore <url> <name> # Explore website and generate
npm run mcp:generate interactive # Interactive mode
Test Execution
npm test # Run all tests
npm run test:headed # Run with visible browser
npm run test:debug # Debug mode
npm run test:ui # Playwright UI mode
Example Generated Test From the verify statement "Verify header is present and contains 'Welcome'":
test.describe('Homepage Verification', () => {
test.beforeEach(async ({ page }) => {
await page.goto('https://example.com');
await page.waitForLoadState('networkidle');
});
test('Verify header is present and contains \'Welcome\'', async ({ page }) => {
// Navigate to the target URL
Contributing
I welcome contributions! Please see our Contributing Guide for details.
- Fork the repository
- Create a feature branch (git checkout -b feature/amazing-feature)
- Commit your changes (git commit -m 'Add amazing feature')
- Push to the branch (git push origin feature/amazing-feature)
- Open a Pull Request
Acknowledgments
-Playwright - For the excellent browser automation framework
-Model Context Protocol - For enabling AI-powered automation
-TypeScript - For type safety and developer experience
संबंधित सर्वर
Scout Monitoring MCP
प्रायोजकPut performance and error data directly in the hands of your AI assistant.
Alpha Vantage MCP Server
प्रायोजकAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
MCP-Allure
Reads Allure test reports and returns them in LLM-friendly formats for better test analysis and insights.
Tuteliq
AI-powered safety tools for detecting grooming, bullying, threats, and harmful interactions in conversations. The server integrates Tuteliq’s behavioral risk detection API via the Model Context Protocol (MCP), enabling AI assistants to analyze interaction patterns rather than relying on keyword moderation. Use cases include platform safety, chat moderation, child protection, and compliance with regulations such as the EU Digital Services Act (DSA), COPPA, and KOSA.
Together AI Image Server
A TypeScript-based server for generating images using the Together AI API.
MCP-Think
A Think Tool for LLMs to record and retrieve their thinking processes during reasoning.
MCP Servers Collection
A collection of MCP servers for Claude Desktop, providing access to network tools, code linters, and Proxmox virtualization management.
DeepSeek MCP Server
A server for code generation and completion using the DeepSeek API.
Repomix
Packs code repositories into a single, AI-friendly file using the repomix tool.
TestRail
Interact with TestRail's core entities such as test cases, runs, and results using a standardized protocol.
MCP Bridge API
A lightweight, LLM-agnostic RESTful proxy that unifies multiple MCP servers under a single API.
iOS MCP Server
An iOS mobile automation server using Appium and WebDriverAgent.