ZenRows MCP

Scrape any webpage and return clean, LLM-ready content using the ZenRows API.

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What it can do

  • Scrape: Scrape any webpage and return its content using ZenRows. Use this tool to fetch webpage content for analysis. By default it returns clean markdown, which is ideal for LLM processing. When to e

What data it sees

Do you need an account

No: the server works without sign-in

Scrape any webpage and return clean, LLM-ready content using the ZenRows API.

What it does:

  • Fetches static and JavaScript-rendered pages (React, Vue, Angular)
  • Bypasses anti-bot protection and CAPTCHAs automatically
  • Returns clean markdown by default — no HTML noise for the LLM
  • Supports CSS extraction for structured data (products, prices, listings)
  • Auto-parse mode for articles and e-commerce pages
  • Premium residential proxies for heavily protected sites

When to use it: Use scrape when you need to read a webpage, extract data from a site, monitor prices, research competitors, or gather any content from the web.

Authentication: Connect with your ZenRows API key via OAuth — no manual key copying required.

How to connect

How to connect ZenRows MCP to Claude

The server address to paste into Claude settings:

https://zenrows-mcp.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect ZenRows MCP to ChatGPT

The server address to paste into ChatGPT settings:

https://zenrows-mcp.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect ZenRows MCP to Cursor

The server address to paste into Cursor settings:

https://zenrows-mcp.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (1)

Raw names from tools/list. Only developers need these.

scrapeScrape any webpage and return its content using ZenRows. Use this tool to fetch webpage content for analysis. By default it returns clean markdown, which is ideal for LLM processing. When to enable options: - js_render: page uses React/Vue/Angular, loads content dynamically, or content appears missing on the first attempt - premium_proxy: site returns 403/blocked errors even with js_render enabled - wait_for: specific content loads after initial render (requires js_render) - css_extractor: you only need specific elements, not the whole page - autoparse: structured data pages like products or articles Examples: Basic: { url: "https://example.com" } Dynamic: { url: "https://spa.com", js_render: true } Protected:{ url: "https://protected.com", js_render: true, premium_proxy: true } Extract: { url: "https://shop.com", css_extractor: '{"title":"h1","price":".price"}' }