Model Context Protocol (MCP)

// MCP Server setup for QA testing
import { MCPServer } from '@model-context-protocol/server';
import { PlaywrightTool } from '@mcp/tools-playwright';
import { APITool } from '@mcp/tools-api';
// Create MCP Server
const server = new MCPServer({
  name: 'qa-test-assistant',
  version: '1.0.0',
  description: 'AI-powered QA testing assistant'
});
// Register testing tools
server.registerTool(new PlaywrightTool({
  browser: 'chromium',
  headless: true
}));
server.registerTool(new APITool({
  baseURL: process.env.API_BASE_URL,
  timeout: 30000
}));
// Start server
server.start(3000);
console.log('MCP Server running on port 3000');

// MCP Client integration with Playwright
import { test, expect } from '@playwright/test';
import { MCPClient } from '@model-context-protocol/client';
const client = new MCPClient({
  serverUrl: 'http://localhost:3000',
  capabilities: ['test-generation', 'failure-analysis']
});
test.describe('AI-Powered Test Suite', () => {
  test('should login using AI-generated steps', async ({ page }) => {
    // Get AI-generated test steps
    const steps = await client.generateTestSteps({
      userStory: 'Login with valid credentials',
      framework: 'playwright'
    });
    // Execute AI-generated steps
    for (const step of steps) {
      await step.execute(page);
    }
    await expect(page).toHaveURL('/dashboard');
  });
});

// AI Agent using MCP for test automation
import { MCPAgent } from '@model-context-protocol/agent';
import { OpenAIConfig } from '@ai/provider';
const agent = new MCPAgent({
  model: new OpenAIConfig({
    apiKey: process.env.OPENAI_API_KEY,
    model: 'gpt-4'
  }),
  serverUrl: 'http://localhost:3000'
});
// Agent autonomously runs tests
const result = await agent.run({
  task: 'Run regression tests for login flow',
  context: {
    environment: 'staging',
    browser: 'chromium'
  }
});
console.log(`Test results: ${result.passed}/${result.total} passed`);
// Agent analyzes failures
if (result.failures.length > 0) {
  const analysis = await agent.analyzeFailures(result.failures);
  console.log(`Failure analysis: ${analysis.summary}`);
}