What do I need to use this server?
A Scrappey API key from scrappey.com and Node.js installed.
@pim97
基本信息
Allow LLMs to control a browser with Scrappey
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-server-scrappey": {
"command": "npx",
"args": [
"@anthropic/smithery-cli",
"deploy"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
A Model Context Protocol server for interacting with Scrappey.com's browser-backed web automation and data-extraction platform. It bridges AI models with real browser sessions to handle JavaScript-dependent pages, challenge pages from bot-management systems (Cloudflare, Datadome, Kasada, etc.), and interactive captchas.
Install via npm install and npm run build, then set the SCRAPPEY_API_KEY environment variable. Configure Claude Desktop or Cursor IDE with the server’s path and API key. Use tools like scrappey_create_session, scrappey_request, scrappey_browser_action, and scrappey_screenshot to create sessions, send browser-backed HTTP requests, execute automation actions, and take screenshots.
A Scrappey API key from scrappey.com and Node.js installed.
Scrappey renders challenge pages in a real browser; you can enable bypass per request with fields like `cloudflareBypass`, `datadomeBypass`, and `kasadaBypass`.
Yes, sessions persist cookies and state across requests. Reuse sessions for related work and destroy them when finished.
You can specify a custom proxy, proxy country, premium proxy, or mobile proxy. Supported countries include UnitedStates, UnitedKingdom, Germany, France, and more.
Session limits are shown in the list response. Error codes (e.g., CODE-0001 for capacity full, CODE-0029 for too many sessions) provide specific failure details.
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