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jiin-kim109

Building a Browser Harness MCP for AI Agents

by jiin-kim109

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 chromium

Establece 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 amazon

El 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.

A
license - permissive license
Not graded
quality - not tested
C
maintenance

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