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@scrapezy/mcp MCP Server

@scrapezy/mcp MCP Server

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github.com/scrapezyBrowser Automation14Updated 85w ago
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About @scrapezy/mcp MCP Server

@scrapezy/mcp MCP Server lets AI models extract structured data from websites using a URL and a description of the requested data. It is for MCP clients that need prompt-guided website extraction.

Key features

  1. 01Prompt-guided website extraction
  2. 02Structured data results
  3. 03URL and prompt inputs

Use cases

  1. 01Extract product details from a page
  2. 02Collect specified fields from a website

MCP support

It exposes the `extract_structured_data` tool to MCP clients, accepting a URL and prompt and returning extracted data.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "scrapezy": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli"
      ]
    }
  }
}
Run commandnpx -y @smithery/cli

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@smithery/cli

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

@scrapezy/mcp MCP Server

Scrapezy MCP server

smithery badge

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

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.