What dependencies are required to run Scraperis_scraper?
You need Node.js installed and a valid Scraper.is API key.
@Ai-Quill
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"scraperis_scraper": {
"command": "scraperis-mcp",
"args": [],
"env": {
"SCRAPERIS_API_KEY": "your-api-key-here",
"DEBUG": "*"
}
}
}
}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。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
Scraperis_scraper is a Model Context Protocol (MCP) integration for Scraper.is—a web scraping tool that allows AI assistants to extract content from websites, capture screenshots, and retrieve data in multiple formats.
Install globally via npm or yarn, set the SCRAPERIS_API_KEY environment variable, then configure an MCP-compatible client (e.g., Claude Desktop) to use scraperis-mcp as a server. The AI assistant can then call the scrape tool to fetch web content.
You need Node.js installed and a valid Scraper.is API key.
Sign up or log in at scraper.is, go to the API Keys section in your dashboard, and create or copy an existing key.
It works with any AI assistant that supports the Model Context Protocol (MCP), such as Claude Desktop.
Yes. The scrape tool can return content as markdown, HTML, JSON, a screenshot, or the “quick” format.
Yes, the server provides real‑time progress updates during scrape operations.
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