Browser Intelligence MCP
Browser Intelligence MCP
一个模型上下文协议(MCP)服务器,为 AI 代理提供真实的浏览器能力: 截取屏幕截图、抓取结构化内容以及运行可视化页面测试。
概述
Browser Intelligence MCP 是一个使用 Node.js 和 TypeScript 构建的标准 MCP 服务器。 它提供了三个强大的工具,使 AI 代理能够通过由 Playwright 驱动的无头 Chromium 浏览器 与真实网页进行交互。
该服务器是按使用量计费的代理原生服务基础设施的演示组件。
Related MCP server: MCP Browser Screenshot Server
工具
工具 | 描述 |
| 将任意 URL 的完整页面或视口截图捕获为 PNG 图像 |
| 从任意 URL 提取结构化内容(标题、描述、链接) |
| 对页面运行一组检查并返回通过/失败结果 |
环境要求
Node.js >= 22
npm >= 10
快速开始
# 1. Clone the repository
git clone https://github.com/your-org/browser-intelligence-mcp.git
cd browser-intelligence-mcp
# 2. Install dependencies
npm install
# 3. Install Playwright browsers
npx playwright install chromium
# 4. Copy environment variables
cp .env.example .env
# 5. Run in development mode
npm run devMCP 配置
添加到您的 MCP 客户端配置中(例如,Claude Desktop 的 claude_desktop_config.json):
{
"mcpServers": {
"browser-intelligence": {
"command": "node",
"args": ["dist/index.js"],
"cwd": "/path/to/browser-intelligence-mcp"
}
}
}脚本
命令 | 描述 |
| 以开发模式运行,支持热重载 |
| 将 TypeScript 编译为 JavaScript |
| 运行编译后的生产构建 |
| 运行 ESLint 检查 |
许可证
MIT
Maintenance
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