Scrapegraph Mcp
Let your coding agent pull structured data from live websites without hand-writing scrapers or brittle selectors.
Overview
ScrapeGraph MCP is a MCP server for the Idea phase that exposes AI-powered web scraping and extraction through the ScrapeGraph API to coding agents.
What is this MCP server?
- stdio MCP bridge to the ScrapeGraph API for agent-driven scraping jobs
- PyPI package scrapegraph-mcp at server version 1.0.1
- Optional SGAI_API_KEY via environment or MCP config
- AI-oriented extraction instead of maintaining custom crawl scripts
- Fits competitor and landing-page research workflows from Claude Code or Cursor
- Server schema version 1.0.1
- Transport: stdio
- Registry: PyPI identifier scrapegraph-mcp
Community signal: 81 GitHub stars.
What problem does it solve?
You need fresh web data for research or integrations but do not want to maintain fragile scrapers or browser automation scripts yourself.
Who is it for?
Indie builders doing competitor research, lead lists, or proof-of-concept data pulls from Claude Code, Cursor, or similar MCP hosts.
Skip if: Teams that need fully offline scraping, strict compliance-only crawls without a third-party API, or heavy production crawl infrastructure without API budget.
What do I get? / Deliverables
Your agent can request structured extractions from target URLs via MCP tools backed by ScrapeGraph after you register the server and API key.
- Registered stdio MCP server entry pointing at scrapegraph-mcp
- Agent-callable scraping and extraction against ScrapeGraph-backed endpoints
- Structured datasets or page-derived fields for research or prototype pipelines
Recommended MCP Servers
Journey fit
Canonical shelf is Idea because solo builders most often add ScrapeGraph when validating markets, scraping competitor pages, or gathering reference material before they commit to a build. Research is the right subphase for AI-assisted extraction used in discovery, pricing pages, and lead lists rather than in-app product features.
How it compares
MCP integration to a hosted scraping API, not a local browser-automation skill or self-hosted crawl framework.
Common Questions / FAQ
Who is ScrapeGraph MCP for?
Solo builders and small teams who use AI coding agents and want ScrapeGraph’s extraction API callable from MCP without custom client code.
When should I use ScrapeGraph MCP?
Use it during market and competitor research, validation landing research, or early integration prototypes that need live page data.
How do I add ScrapeGraph MCP to my agent?
Install the scrapegraph-mcp PyPI package, add the server to your MCP config with stdio transport, and set SGAI_API_KEY if you are not passing the key in config.