@scrapezy/mcp MCP Server

<a href="https://glama.ai/mcp/servers/rnktqsouvy"> <img width="380" height="200" src="https://glama.ai/mcp/servers/rnktqsouvy/badge" alt="Scrapezy MCP server" /> </a>

A Model Context Protocol server for Scrapezy that enables AI models to extract structured data from websites.

Features

Tools

• extract_structured_data - Extract structured data from a website
  • Takes URL and prompt as required parameters
  • Returns structured data extracted from the website based on the prompt
  • The prompt should clearly describe what data to extract from the website

Installation

Installing via Smithery

To install Scrapezy MCP Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @Scrapezy/mcp --client claude

Manual Installation

npm install -g @scrapezy/mcp

Usage

API Key Setup

There are two ways to provide your Scrapezy API key:

1. Environment Variable:

   export SCRAPEZY_API_KEY=your_api_key
   npx @scrapezy/mcp
   

2. Command-line Argument:

   npx @scrapezy/mcp --api-key=your_api_key
   

To use with Claude Desktop, add the server config:

On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json On Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "scrapezy": {
      "command": "npx @scrapezy/mcp --api-key=your_api_key"
    }
  }
}

Example Usage in Claude

You can use this tool in Claude with prompts like:

Please extract product information from this page: https://example.com/product
Extract the product name, price, description, and available colors.

Claude will use the MCP server to extract the requested structured data from the website.

Debugging

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:

npm run inspector

The Inspector will provide a URL to access debugging tools in your browser.

License

MIT