We already help you get data from any website. Now your AI assistant can do it for you, without ever leaving the conversation.
If you’ve ever asked Claude, Cursor, or any AI agent to fetch data from a website, you’ve likely seen the same frustrating result: "I’m sorry, I cannot access this page due to security restrictions."
We're closing that gap with the ZenRows MCP, a simple way to connect ZenRows with the AI tools you use, including Claude Desktop, Claude Code, Cursor, and VS Code Copilot, as well as other MCP-compatible AI tools. Tell your AI assistant to get data from any website in plain English, and it does just that.
Taking Web Data Access Further
ZenRows already handles web data access limitations for you, including websites that block bots, pages that won't load completely, and content locked to certain regions, so you don't have to think about it.
The ZenRows MCP takes that same idea one step further. Instead of switching between your browser, a script, and your AI tool, you can now stay inside your workflow. You tell your AI assistant to fetch data in plain English, and it fetches it in real-time using the ZenRows Universal Scraper API infrastructure under the hood.
For a deeper understanding of how it all works under the hood, see our detailed guide on giving your AI agent real-time web access with the ZenRows MCP.
How This Changes Your AI Workflow
Connecting your AI tool to ZenRows gives your agent a professional-grade suite for accessing and extracting real-time web data without limitations.
Before Connecting the ZenRows MCP:
❌ Your AI tries to fetch a page and gets blocked.
❌ Dynamic pages return empty or incomplete content.
❌ Your AI makes up a response from historical stale data it was trained on.
❌ You waste valuable business time manually copying and pasting data into the chat.
❌ Your AI workflow stalls every time a website pushes back.
After Connecting the ZenRows MCP:
âś… Your AI fetches any page, including protected ones.
âś… Dynamic and complex pages load fully before returning data.
âś… Content comes back clean and ready to work with.
âś… Your workflow keeps moving, no interruptions, no workarounds.
âś… You focus on core business while your AI agent does the hard scraping job using ZenRows.
What the ZenRows MCP Does for You
Most websites are built for humans, not AI tools. ZenRows has spent years solving that gap for developers. The MCP brings those same capabilities directly into your AI assistant:
✔️ Get data from any website: Whether it's a product page, a news site, a competitor's pricing table, or anything else, your AI can now access it. If a real person can open it in a browser, your AI can get it.
✔️ No more blocked requests: Some websites try to keep automated tools out. ZenRows handles that automatically, so your AI never hits a wall, and you never have to step in to fix it.
✔️ Pages that load slowly aren't a problem anymore: Many modern websites only display their content after the page has finished loading. The ZenRows MCP waits for everything to appear before sending the data back, so your AI always gets the full picture.
✔️ Clean, LLM-ready data, not raw webpage noise: ZenRows strips away all the clutter and returns clean, structured content. Your AI understands it better, and you save up significant token costs compared to processing a raw page.
✔️ Access content from anywhere in the world: Some websites show different content depending on your location. With 55M+ residential IPs across 185+ countries, ZenRows can reach content that would otherwise be locked.
✔️ Nothing to manage: No proxies to buy. No infrastructure to set up. One API key, One Integration, and it all works, at any scale.
How to Set It Up
Add the ZenRows MCP to your AI tool's configuration file once, then restart the tool. That's the entire setup.
Most MCP-compatible tools connect using the same configuration snippet. Just replace <YOUR_ZENROWS_API_KEY> with your actual key from the ZenRows dashboard:
{
"mcpServers": {
"zenrows": {
"command": "npx",
"args": ["-y", "@zenrows/mcp"],
"env": {
"ZENROWS_API_KEY": "<YOUR_ZENROWS_API_KEY>"
}
}
}
}
Step-by-step setup guides for specific tools are available in the ZenRows MCP documentation.
Supported AI Tools
The ZenRows MCP works with all major MCP-compatible AI assistants and coding environments:
| Tool | Best For |
|---|---|
| Claude Desktop | Research, competitive intel, and non-developer workflows. |
| Cursor | In-IDE coding with live web data and real-time documentation. |
| Claude Code | Agentic CLI workflows and automated terminal tasks. |
| Windsurf | Advanced IDE-based development and agentic coding. |
| VS Code | An advanced IDE for writing application code and managing code base architecture. |
| Zed | High-performance code editing with low-latency AI assistance. |
| JetBrains IDEs | Enterprise Java, Python, and web development across IntelliJ, PyCharm, and WebStorm. |
From Competitive Intelligence to Live RAG
Once your AI can read the live web, the workflows you can build change entirely. A few examples:
In Cursor:
Scrape the latest documentation from [URL] and help me refactor this function based on their new API version.
In Claude:
Scrape these three competitor sites and summarize how their pricing has changed since last week.
In n8n/LangChain:
Scrape the latest content from [URL] and trigger the next step in my workflow only if the price has changed since yesterday.
Give your AI access to the whole web in real-time. Try the ZenRows MCP for free or speak with our Sales Team for custom requirements or enquiries.