Introducing MCP Server Integration (Beta) - Connect Scrapezy to Claude Desktop & Cursor

We're thrilled to announce the beta launch of the Scrapezy MCP (Model Context Protocol) Server! This groundbreaking integration brings Scrapezy's powerful web scraping and data extraction capabilities directly into your favorite AI tools like Claude Desktop and Cursor.

🚀 What's New

The Scrapezy MCP Server is a remote service that enables AI applications to:

• Extract structured data from any public website using natural language prompts
• Trigger configured scrapers and monitor their progress
• Retrieve extraction results in structured formats
• Access recent scraper data without needing specific job IDs

🎯 Key Features

Natural Language Data Extraction

Simply tell your AI tool what data you want:

"Extract the top 10 news headlines from TechCrunch with their publication dates"

Seamless Integration

No complex setup - just add your Scrapezy API key to your AI tool's configuration and you're ready to go.

Real-time Job Monitoring

Track extraction progress and get notified when jobs complete, all within your AI conversation.

Multiple Tool Support

Works with Claude Desktop, Cursor, and any MCP-compatible AI application.

🔧 Getting Started

Prerequisites

• A Scrapezy account with API access
• Claude Desktop, Cursor, or another MCP-compatible AI tool

Quick Setup

1. Get your API key from your Scrapezy Dashboard
2. Configure your AI tool with our MCP server endpoint
3. Start extracting data using natural language

Example Configuration (Claude Desktop):

{
  "mcpServers": {
    "scrapezy": {
      "command": "node",
      "args": ["-e", "/* MCP client code */"],
      "env": {
        "SCRAPEZY_API_KEY": "sk-your-api-key-here"
      }
    }
  }
}

📖 Documentation & Examples

We've created comprehensive documentation to help you get started:

• MCP Server Integration Guide - Complete setup and usage guide
• Configuration Examples - Ready-to-use configs for popular AI tools
• API Authentication Guide - Managing your API keys

🧪 Beta Status & What to Expect

This is a beta release, which means:

✅ What Works Well

• Basic data extraction from public websites
• Job status monitoring and result retrieval
• Integration with Claude Desktop and Cursor
• API key authentication and rate limiting

🚧 Known Limitations

• Limited error handling for edge cases
• Configuration requires some technical setup
• Not all MCP client features are supported yet
• Documentation is still being refined

🔄 Coming Soon

• Simplified configuration process
• Enhanced error messages and debugging
• Support for more AI tools and MCP clients
• Advanced schema validation features
• Webhook notifications for job completion

💡 Use Cases

The MCP integration opens up exciting new possibilities:

Research & Analysis

"Extract competitor pricing data and create a comparison report"

Content Aggregation

"Gather all blog posts from company websites and summarize the key trends"

Market Intelligence

"Monitor product launches across industry websites and alert me to new releases"

Data Collection

"Extract contact information from business directories for lead generation"

🔐 Security & Privacy

Our MCP server follows enterprise-grade security practices:

• API Key Authentication - Secure access using your existing Scrapezy credentials
• Rate Limiting - Built-in protection against abuse
• No Data Storage - We don't store your extracted data on our MCP servers
• Encrypted Communication - All data transmission uses HTTPS/TLS

🤝 Community & Feedback

As a beta feature, your feedback is invaluable! We're actively monitoring:

• Performance - Response times and reliability
• Usability - Configuration complexity and user experience
• Feature Requests - What tools and capabilities you need most
• Bug Reports - Any issues or unexpected behavior

How to Provide Feedback

• GitHub Issues - Report bugs or request features
• Community Discord - Join discussions with other beta users
• Support Email - Direct feedback to our team
• Documentation Feedback - Help us improve our guides

🗺️ Roadmap

Here's what we're working on for future releases:

Q1 2025

• Stable Release - Move out of beta with improved reliability
• Enhanced Documentation - More examples and troubleshooting guides
• Visual Schema Builder - GUI for creating extraction schemas
• Webhook Integration - Real-time notifications for job completion

Q2 2025

• Multi-language Support - Python, JavaScript SDK equivalents
• Batch Operations - Process multiple URLs in single requests
• Advanced Filtering - More sophisticated data extraction options
• Enterprise Features - Team management and usage analytics

🎉 Try It Today

Ready to experience the future of AI-powered web scraping?

1. Read the Integration Guide - Get detailed setup instructions
2. View Configuration Examples - Copy-paste configurations
3. Join Our Community - Connect with other beta users
4. Get Support - We're here to help you succeed

🙏 Thank You

This beta launch wouldn't be possible without our amazing community of developers and early adopters. Your feedback, bug reports, and feature requests continue to shape Scrapezy into the best web scraping platform available.

We can't wait to see what you build with this new integration!

Have questions? Reach out to our team at [email protected] or check out our help center.

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