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ScrapeGraph MCP Server

@ScrapeGraphAI

Repository

Basic information

Category

Other

License

MIT

Transports

stdio

Author

ScrapeGraphAI

About ScrapeGraph MCP Server

ScapeGraph MCP Server

ScrapeGraph MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "scrapegraph-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "@ScrapeGraphAI/scrapegraph-mcp",
        "--client",
        "claude"
      ]
    }
  }
}

ScrapeGraph MCP Server tools

9

POST /scrape (`output_format`: markdown, html, screenshot, branding, links, images, summary)

POST /extract (requires `website_url` + `user_prompt`; optional `output_schema`)

POST /search (`num_results` 1–20; supports `country_search`, `time_range`, `output_schema`)

POST /crawl — `extraction_mode` markdown / html / links / images / summary / branding / screenshot

GET /crawl/:id (poll until `status: completed`)

POST /schema (generate or augment a JSON Schema from a prompt)

GET /credits

GET /history (paginated, `service` filter)

GET /monitor/:id/activity (paginated tick history: `id`, `createdAt`, `status`, `changed`, `elapsedMs`, `diffs`)

Overview

What is ScrapeGraph MCP Server?

The ScrapeGraph MCP Server is a production-ready Model Context Protocol (MCP) server that integrates with the ScrapeGraph AI API. It enables language models to perform AI-powered web scraping tasks such as scraping, extracting structured data, searching, crawling multi-page sites, generating schemas, and managing monitors—all with enterprise-grade reliability.

How to use ScrapeGraph MCP Server?

Obtain a ScrapeGraph API key from the ScrapeGraph Dashboard. Then install via Smithery (npx -y @smithery/cli install @ScrapeGraphAI/scrapegraph-mcp --client claude) or manually for local use. Configure the server in Claude Desktop, Cursor, or Google ADK with your API key. The server communicates over stdio or HTTP (remote) and exposes tools like scrape, extract, search, crawl_start, monitor_create, and credits.

Key features of ScrapeGraph MCP Server

  • Scrape webpages in multiple output formats (markdown, HTML, screenshot, etc.)
  • Extract structured data using AI prompts and optional JSON schemas
  • Perform web searches with configurable country and time filters
  • Asynchronous multi-page crawling with start, status, stop, and resume
  • Generate and augment JSON schemas from prompts
  • Manage scheduled monitoring jobs with activity history
  • Check account credits and paginated history

Use cases of ScrapeGraph MCP Server

  • Convert a webpage to markdown for summarization
  • Extract all product prices and descriptions from an e-commerce site
  • Research the latest AI developments and summarize findings
  • Monitor a set of pages for changes over time
  • Crawl an entire documentation site to extract structured data

Frequently asked questions

1

What runtime does the ScrapeGraph MCP Server require?

Python 3.13 or higher is required for local usage. For remote server usage, only Node.js is needed to run the MCP remote client.

2

How do I get an API key for ScrapeGraph AI?

Sign up and generate your API key from the [ScrapeGraph Dashboard](https://dashboard.scrapegraphai.com). Set it as the `SGAI_API_KEY` environment variable or pass it via the `scrapegraphApiKey` or `X-API-Key` header.

3

Can I use the server without installing anything locally?

Yes, you can connect to the hosted remote MCP server at `https://mcp.scrapegraphai.com/mcp` by configuring your MCP client with the URL and your API key.

4

What tools are available in the latest v3 version?

Tools include `scrape`, `extract`, `search`, `crawl_start`, `crawl_get_status`, `crawl_stop`, `crawl_resume`, `schema`, `credits`, `history`, `monitor_create`, `monitor_list`, `monitor_get`, `monitor_pause`, `monitor_resume`, `monitor_delete`, and `monitor_activity`.

5

What should I do if tools are not appearing in my AI assistant?

Check Claude Desktop logs (macOS: `~/Library/Logs/Claude/`, Windows: `%APPDATA%\Claude\Logs\`), verify the server starts without errors, and ensure your configuration JSON is valid. Also confirm that Python and the package are properly installed.

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