F
licenseNot graded
qualityD
maintenanceEnables AI assistants to control browser automation through natural language prompts using Playwright, supporting visual element interaction, PDF generation, screenshots, and testing assertions.
Building a Browser Harness MCP for AI Agents
by jiin-kim109
AIエージェント向けブラウザハーネス/MCPの構築
Playwright、MCP、GitHub Copilot SDKで構築されたブラウザハーネスです。
セットアップ
npm install
npx playwright install chromiumAzure OpenAIの環境変数を設定します：
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"デフォルトでは、ハーネスはPlaywright Chromiumを起動します。代わりにChromeに接続するには、専用プロファイルで起動し、CDPエンドポイントをエクスポートします：
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
実行
npm start -- "Open example.com and print the page title."ライブタスクを実行します：
npm run eval
npm run eval -- --task amazonコード実行ランタイムはセキュリティ境界ではありません。信頼できない入力でこのパターンを使用する前に、生成されたコードを分離されたプロセスまたはVMで実行してください。
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