The ScrapeGraph MCP Server is a production-ready Model Context Protocol server that integrates with the ScrapeGraph AI API to enable language models to perform advanced AI-powered web scraping with enterprise-grade reliability.
From the registry: Enable language models to perform advanced AI-powered web scraping with enterprise-grade reliabili…

Please install the `scrapegraphai-scrapegraph-mcp` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Python** — Python 3.13+ required. Run: `pip install scrapegraph-mcp` (https://pypi.org/project/scrapegraph-mcp/)
- **ScrapeGraph AI API Key** — Get API key from dashboard.scrapegraphai.com (https://dashboard.scrapegraphai.com)
Canonical MCP server config (stdio transport):
- command: `python`
- args: ["-m","scrapegraph_mcp.server"]
- required environment variables:
- `SGAI_API_KEY`: ScrapeGraph AI API key. (example: `<your-sgai-api-key>`)
Note: Same as scrapegraph-mcp (same repo: ScrapeGraphAI/scrapegraph-mcp). AI-powered web scraping: markdownify, smartscraper, searchscraper, sitemap, smartcrawler, agentic_scraper. 8 tools.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.SGAI_API_KEYrequiredAPI key for accessing the ScrapeGraph API.AI-powered browser automation — navigate, click, fill forms, and extract data from any website.