What is Scrapegraph Mcp

ScrapeGraph MCP is a production-ready Model Context Protocol (MCP) server that integrates seamlessly with the ScapeGraph AI API, enabling language models to utilize advanced AI-powered web scraping capabilities with enterprise-grade reliability.

Use cases

Use cases include analyzing and extracting features from the ScapeGraph API, generating structured markdown from webpages, extracting pricing information, researching AI-powered web scraping developments, and summarizing documentation.

How to use

To use ScrapeGraph MCP, obtain a ScapeGraph API key from the ScapeGraph Dashboard. Follow the setup instructions to configure your environment, including automated installation via Smithery and updating your Claude Desktop configuration file with your API key.

Key features

Key features include tools for transforming webpages into markdown format, extracting structured data from webpages using AI, and executing AI-powered web searches with actionable results.

Where to use

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ScrapeGraph MCP Server

A production-ready Model Context Protocol (MCP) server that provides seamless integration with the ScapeGraph AI API. This server enables language models to leverage advanced AI-powered web scraping capabilities with enterprise-grade reliability.

Available Tools

The server provides the following enterprise-ready tools:

• markdownify(website_url: str): Transform any webpage into clean, structured markdown format
• smartscraper(user_prompt: str, website_url: str): Leverage AI to extract structured data from any webpage
• searchscraper(user_prompt: str): Execute AI-powered web searches with structured, actionable results

Setup Instructions

To utilize this server, you’ll need a ScapeGraph API key. Follow these steps to obtain one:

1. Navigate to the ScapeGraph Dashboard
2. Create an account and generate your API key

Automated Installation via Smithery

For automated installation of the ScrapeGraph API Integration Server using Smithery:

npx -y @smithery/cli install @ScrapeGraphAI/scrapegraph-mcp --client claude

Claude Desktop Configuration

Update your Claude Desktop configuration file with the following settings (located on the top rigth of the Cursor page):

(remember to add your API key inside the config)

{
  "mcpServers": {
    "@ScrapeGraphAI-scrapegraph-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli@latest",
        "run",
        "@ScrapeGraphAI/scrapegraph-mcp",
        "--config",
        "\"{\\\"scrapegraphApiKey\\\":\\\"YOUR-SGAI-API-KEY\\\"}\""
      ]
    }
  }
}

The configuration file is located at:

• Windows: %APPDATA%/Claude/claude_desktop_config.json
• macOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json

Cursor Integration

Add the ScrapeGraphAI MCP server on the settings:

Example Use Cases

The server enables sophisticated queries such as:

• “Analyze and extract the main features of the ScapeGraph API”
• “Generate a structured markdown version of the ScapeGraph homepage”
• “Extract and analyze pricing information from the ScapeGraph website”
• “Research and summarize recent developments in AI-powered web scraping”
• “Create a comprehensive summary of the Python documentation website”

Error Handling

The server implements robust error handling with detailed, actionable error messages for:

• API authentication issues
• Malformed URL structures
• Network connectivity failures
• Rate limiting and quota management

Common Issues

Windows-Specific Connection

When running on Windows systems, you may need to use the following command to connect to the MCP server:

C:\Windows\System32\cmd.exe /c npx -y @smithery/cli@latest run @ScrapeGraphAI/scrapegraph-mcp --config "{\"scrapegraphApiKey\":\"YOUR-SGAI-API-KEY\"}"

This ensures proper execution in the Windows environment.

License

This project is distributed under the MIT License. For detailed terms and conditions, please refer to the LICENSE file.

Acknowledgments

Special thanks to tomekkorbak for his implementation of oura-mcp-server, which served as starting point for this repo.

Made with ❤️ by ScrapeGraphAI Team