What dependencies are required to run Scraperis_scraper?
You need Node.js installed and a valid Scraper.is API key.
@Ai-Quill
基本情報
概要はまだありません
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"scraperis_scraper": {
"command": "scraperis-mcp",
"args": [],
"env": {
"SCRAPERIS_API_KEY": "your-api-key-here",
"DEBUG": "*"
}
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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