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Overview

The Model Context Protocol (MCP) integration connects your code editor directly to ZenRows documentation. This enables AI-powered assistance right in your development environment, giving you instant access to ZenRows APIs, code examples, and best practices without leaving your editor.

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What is MCP?

The Model Context Protocol (MCP) is a standardized communication method that allows AI applications to connect to external data sources and tools. Think of it as a bridge between your AI assistant and live documentation. Anthropic released MCP in November 2024 to enable two-way interactions. AI assistants can both retrieve accurate information and perform actions using this protocol.

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How ZenRows MCP Integration Helps You

With ZenRows’ Documentation MCP integration, your AI assistant can:
  • Query documentation in real-time - Get up-to-date answers about ZenRows features and APIs
  • Generate code examples - Create working code snippets for your specific use case
  • Provide API guidance - Access exact API references and parameter details
  • Suggest best practices - Get recommendations based on ZenRows documentation

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Supported Editors

ZenRows Documentation MCP integration works with any MCP-compatible code editor, including:
  • Cursor - AI-powered code editor
  • Visual Studio Code - With compatible AI extensions

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Installation Instructions

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For Cursor (One-Click Install)

The easiest way to connect ZenRows documentation to Cursor is with our one-click install link:

Install ZenRows MCP for Cursor

Click to install
 Click the link above. Cursor will ask you to finish the installation by adding the server to your MCP settings.

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For Visual Studio Code (One-Click Install)

For VS Code users, you can use our direct install link:

Install ZenRows MCP for VS Code

Click to install
 Click the link above. VS Code will ask you to finish the installation by adding the server to your MCP settings.

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For Other Editors (Manual Installation)

Follow your code editor’s documentation to add a new Remote MCP server with this URL: https://docs.zenrows.com/mcp.

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Example Prompts to Try

Once you have MCP connected, try these prompts in your editor’s AI chat:

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Getting Started

Show me how to make my first request to ZenRows Universal Scraper API with Python, using 'SearchZenRowsDocs'

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API Integration

Generate a Node.js function that uses ZenRows to scrape a product page with CAPTCHA bypass enabled, using 'SearchZenRowsDocs'

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Proxy Configuration

How do I configure rotating residential proxies with ZenRows? Show me code examples for different programming languages, using 'SearchZenRowsDocs'

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Browser Automation

Create a Puppeteer script that works with ZenRows Scraping Browser to handle dynamic content, using 'SearchZenRowsDocs'

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Error Handling

What are the common ZenRows API error codes and how should I handle them in my application?, using 'SearchZenRowsDocs'

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Advanced Use Cases

Show me how to maintain sessions across multiple requests using ZenRows Universal Scraper API, using 'SearchZenRowsDocs'

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Rate Limits and Optimization

What are the rate limits for ZenRows products and how can I optimize my scraping performance?, using 'SearchZenRowsDocs'

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Pricing and Plans

Compare ZenRows pricing plans and help me choose the right one for scraping 10,000 pages per month, using 'SearchZenRowsDocs'

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Benefits of Using MCP with ZenRows

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Real-time Documentation Access

Access ZenRows documentation directly in your editor. No more switching between your editor and browser to find API information.

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Context-Aware Code Generation

The AI understands your current project context. It generates ZenRows integration code that fits your specific needs and coding patterns.

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Always Up-to-Date Information

MCP queries live documentation, ensuring you always get the latest information about ZenRows APIs and features. Unlike static documentation copies, the information stays current.

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Faster Development Workflow

Reduce context switching and speed up development. ZenRows expertise is available directly in your coding environment.

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Interactive Problem Solving

Ask follow-up questions and iterate on solutions without losing context. This makes it easier to implement complex scraping scenarios.

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Troubleshooting

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Connection Issues

  • Ensure your editor supports MCP
  • Verify the MCP server URL is correct: https://docs.zenrows.com/mcp
  • Check your internet connection and firewall settings

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Outdated Responses

  • MCP provides real-time access to documentation
  • If responses seem outdated, try restarting your editor
  • Verify the MCP connection is active in your editor settings

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Limited Functionality

  • Ensure you’re using specific ZenRows-related prompts
  • The MCP server focuses on ZenRows documentation and APIs
  • For general programming questions, your editor’s default AI will handle those

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Next Steps

Now that you have ZenRows documentation connected to your editor:
  1. Explore the Universal Scraper API - Start with simple scraping requests and gradually add advanced features
  2. Try Browser Automation - Experiment with Puppeteer/Playwright scripts using ZenRows Scraping Browser
  3. Test Proxy Integration - Implement geo-targeted scraping with residential proxies
  4. Build Production Workflows - Use the AI assistant to help design robust, scalable scraping solutions
The combination of ZenRows’ scraping infrastructure and AI-powered development assistance helps you build better web scraping applications faster.