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ScrapeGraph MCP Server

@ScrapeGraphAI

リポジトリ

ScrapeGraph MCP Server について

ScapeGraph MCP Server

基本情報

カテゴリ

その他

ライセンス

MIT

ランタイム

python

トランスポート

stdio

公開者

ScrapeGraphAI

設定

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

ツール

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`)

概要

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

FAQ from ScrapeGraph MCP Server

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.

How do I get an API key for ScrapeGraph AI?

Sign up and generate your API key from the ScrapeGraph Dashboard. Set it as the SGAI_API_KEY environment variable or pass it via the scrapegraphApiKey or X-API-Key header.

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.

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.

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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