MCP is an open protocol for connecting AI models to tools and data sources. Playwright MCP servers let AI agents control browsers, generate tests, and debug failures autonomously.
// GitHub Copilot can generate Playwright tests from natural language
// Example prompt in VS Code:
// "Write a Playwright test that logs into SauceDemo and adds an item to cart"
// Copilot generates:
test('add item to cart', async ({ page }) => {
await page.goto('https://www.saucedemo.com');
await page.fill('#user-name', 'standard_user');
await page.fill('#password', 'secret_sauce');
await page.click('#login-button');
await page.click('#add-to-cart-sauce-labs-backpack');
await expect(page.locator('.shopping_cart_badge')).toHaveText('1');
});
// An AI agent that plans test scenarios
// Prompt: "Plan E2E tests for an e-commerce checkout flow"
const plan = {
scenarios: [
{ name: 'Happy path', steps: ['Login', 'Search product', 'Add to cart', 'Checkout', 'Verify confirmation'] },
{ name: 'Invalid coupon', steps: ['Login', 'Add to cart', 'Apply invalid coupon', 'Verify error'] },
{ name: 'Empty cart', steps: ['Login', 'Go to cart', 'Verify empty message'] },
{ name: 'Guest checkout', steps: ['Add to cart', 'Proceed as guest', 'Fill shipping', 'Complete order'] },
]
};
// An AI agent that converts plain English to Playwright code
// Input: "Click the login button and wait for the dashboard"
// Output:
async function clickLoginAndWait(page: Page) {
await page.getByRole('button', { name: 'Login' }).click();
await page.waitForURL('**/dashboard');
await expect(page.getByText('Welcome')).toBeVisible();
}
// Auto-healing locators when selectors break
// If a locator fails, the healing agent tries alternative strategies:
// 1. Try getByRole with different accessible name
// 2. Try getByText with partial match
// 3. Try nearby element + relative locator
// 4. Try data-testid fallback
// 5. Report failure with suggested fix