Building a Browser Harness MCP for AI Agents
Construcción de un arnés de navegador/MCP para agentes de IA
Un arnés de navegador construido con Playwright, MCP y el SDK de GitHub Copilot.
Configuración
npm install
npx playwright install chromiumEstablece las variables de entorno de Azure OpenAI:
export AZURE_OPENAI_ENDPOINT="https://..."
export AZURE_OPENAI_API_KEY="..."
export AZURE_OPENAI_API_VERSION="2025-04-01-preview"
export AZURE_OPENAI_DEPLOYMENT="gpt-5.4"Por defecto, el arnés inicia Playwright Chromium. Para conectar con Chrome en su lugar, inícialo con un perfil dedicado y exporta su endpoint CDP:
google-chrome \
--remote-debugging-port=9222 \
--user-data-dir="$PWD/.agent-browser" \
--no-first-run
export BROWSER_CDP_URL="http://127.0.0.1:9222"Related MCP server: playwright-browser
Ejecución
npm start -- "Open example.com and print the page title."Ejecuta las tareas en directo:
npm run eval
npm run eval -- --task amazonEl entorno de ejecución de código no es un límite de seguridad. Ejecuta el código generado en un proceso aislado o en una VM antes de usar este patrón con entrada no fiable.
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