This MCP server offers AI-powered web scraping functionality with a rich set of tools covering scrape, extract, search, crawl, and monitor. Setup is easy but requires a paid API key. Note that tool names were renamed in v3; consult the documentation when upgrading.
The ScrapeGraph MCP Server is a production-ready Model Context Protocol (MCP) server that provides seamless integration with the ScrapeGraph AI API. It enables language models to leverage advanced AI-powered web scraping capabilities, offering tools for scraping (multi-format), prompt-based extraction, search, async multi-page crawling (start/status/stop/resume), JSON schema generation, scheduled monitoring (create/list/get/pause/resume/delete/activity), account credits, and history. The server uses stdio transport and can be configured via environment variables (SGAI_API_KEY, SGAI_API_URL, SGAI_TIMEOUT). Note that v3 has renamed tools, e.g., smartscraper to extract, smartcrawler_initiate to crawl_start.
npx -y @smithery/cli install @ScrapeGraphAI/scrapegraph-mcp --client claude. 3. Or install locally: clone repo, pip install -e ., then set environment variable SGAI_API_KEY and run with scrapegraph-mcp or python -m scrapegraph_mcp.server. 4. Configure Claude Desktop or Cursor using the JSON configs provided in the README.{
"mcpServers": {
"scrapegraph-mcp": {
"command": "npx",
"args": [
"-y",
"@smithery/cli@latest",
"run",
"@ScrapeGraphAI/scrapegraph-mcp",
"--config",
"\"{\\\"scrapegraphApiKey\\\":\\\"YOUR-SGAI-API-KEY\\\"}\""
]
}
}
}