Playwright MCP 技能

SkillWeb & browsing

Browser automation via the Playwright MCP server. Navigate websites, click elements, fill forms, extract data, take screenshots, and execute complete browser automation workflows.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Playwright MCP 技能 skill

What this skill tells your AI

The instructions your AI receives, as published by l-lesteryu/openclaw-hot-skills-zh in skills/playwright-mcp-zh/SKILL.md and read by ahel’s review.

通过 Playwright MCP 服务器实现浏览器自动化。支持编程控制 Chrome、Firefox 或 WebKit 浏览器。

安装

npm install -g @playwright/mcp
# 或者
npx @playwright/mcp

首次使用需要安装浏览器:

npx playwright install chromium

快速开始

启动 MCP 服务器(STDIO 模式)

npx @playwright/mcp

带参数启动

# 无头模式
npx @playwright/mcp --headless

# 指定浏览器
npx @playwright/mcp --browser firefox

# 设置视口大小
npx @playwright/mcp --viewport-size 1280x720

# 忽略 HTTPS 错误
npx @playwright/mcp --ignore-https-errors

常见用例

1. 导航并提取数据

# 可用的 MCP 工具:
# - browser_navigate: 打开 URL
# - browser_click: 点击元素
# - browser_type: 输入文本
# - browser_select_option: 选择下拉选项
# - browser_get_text: 提取文本内容
# - browser_evaluate: 执行 JavaScript
# - browser_snapshot: 获取页面结构
# - browser_close: 关闭浏览器

2. 表单交互

1. browser_navigate 导航到表单 URL
2. browser_type 在输入框中输入内容
3. browser_click 提交表单
4. browser_get_text 验证结果

3. 数据提取

1. browser_navigate 导航到目标页面
2. browser_evaluate 执行数据提取脚本
3. 解析返回的 JSON 数据

MCP 工具参考

工具描述
browser_navigate导航到 URL
browser_click通过选择器点击元素
browser_type在输入框中输入文本
browser_select_option选择下拉选项
browser_get_text获取文本内容
browser_evaluate执行 JavaScript
browser_snapshot获取无障碍页面快照
browser_close关闭浏览器上下文
browser_choose_file上传文件
browser_press按下键盘按键

配置选项

# 安全设置
--allowed-hosts example.com,api.example.com
--blocked-origins malicious.com
--ignore-https-errors

# 浏览器设置
--browser chromium|firefox|webkit
--headless
--viewport-size 1920x1080
--user-agent "Custom Agent"

# 超时设置
--timeout-action 10000      # 操作超时(毫秒)
--timeout-navigation 30000  # 导航超时(毫秒)

# 输出设置
--output-dir ./playwright-output
--save-trace
--save-video 1280x720

示例

网站登录

browser_navigate: { url: "https://example.com/login" }
browser_type: { selector: "#username", text: "user" }
browser_type: { selector: "#password", text: "pass" }
browser_click: { selector: "#submit" }
browser_get_text: { selector: ".welcome-message" }

提取表格数据

browser_navigate: { url: "https://example.com/data" }
browser_evaluate: {
  script: "() => { return Array.from(document.querySelectorAll('table tr')).map(r => r.textContent); }"
}

截图

browser_navigate: { url: "https://example.com" }
browser_evaluate: { script: "() => { document.body.style.zoom = 1; return true; }" }
# 截图通过 --output-dir 保存或在响应中返回

安全注意事项

  • 默认限制文件系统访问范围为工作区根目录
  • 主机验证防止导航到不受信任的域名
  • 默认启用沙箱(谨慎使用 --no-sandbox
  • 默认阻止 Service Workers

故障排除

# 更新浏览器
npx playwright install chromium

# 调试模式
npx @playwright/mcp --headless=false --output-mode=stdout

# 检查安装
playwright-mcp --version

链接

Signals

GitHub stars
54
Forks
8
Last commit
Apr 2026
Advanced
Catalog kind
skill
Gateway key
playwright-mcp-zh
Source
github.com/l-lesteryu/openclaw-hot-skills-zh