@scrapezy/mcp MCP Server

Name: @scrapezy/mcp MCP Server
Author: scrapezy

@scrapezy

代码仓库

关于 @scrapezy/mcp MCP Server

暂无概览

基本信息

分类

其他

许可证

MIT

运行时

node

传输方式

stdio

发布者

scrapezy

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

Extract structured data from a website

概览

What is @scrapezy/mcp MCP Server?

@scrapezy/mcp MCP Server is a Model Context Protocol server for Scrapezy that enables AI models, such as Claude, to extract structured data from websites. It provides a single tool (extract_structured_data) that takes a URL and a prompt, returning structured information based on the prompt.

How to use @scrapezy/mcp MCP Server?

Install the server globally via npm (npm install -g @scrapezy/mcp) or automatically via Smithery. Set your Scrapezy API key either as an environment variable (SCRAPEZY_API_KEY) or by passing it as a command-line argument (--api-key). Configure the server in Claude Desktop by adding a entry to claude_desktop_config.json with the command npx @scrapezy/mcp --api-key=your_api_key.

Key features of @scrapezy/mcp MCP Server

Extracts structured data from any website using a URL and prompt.
Returns data directly to the AI model for further processing.
Simple API key configuration via environment variable or command line.
Easy integration with Claude Desktop and other MCP-compatible clients.
Debugging support via the MCP Inspector tool.

Use cases of @scrapezy/mcp MCP Server

Extracting product details (name, price, description, colors) from e-commerce pages.
Gathering structured data from web pages for analysis or reporting.
Feeding extracted website data into an AI assistant for summarization or comparison.

FAQ from @scrapezy/mcp MCP Server

What tool does @scrapezy/mcp MCP Server provide?

It provides one tool: extract_structured_data. This tool accepts a URL and a prompt describing what data to extract, then returns the structured data from the website.