Stop Chatting. Start Acting.

The ScrapingBee MCP Server connects your AI models to the live web, empowering them to browse, search, and extract data using our robust API that handles proxies, CAPTCHAs, and JavaScript rendering.

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MODEL CONTEXT PROTOCOL

The Power of a Universal Language for AI

The Model Context Protocol (MCP) is an open-source specification that allows AI models to reliably interact with external tools. It's a universal language between an AI (the client) and a tool provider like us (the server).

Instead of being limited to static training data, an MCP-enabled AI can request real-time actions and receive structured data back. This is the key to building powerful, autonomous agents.

Live Data Access

Access real-time information from any website.

Perform Actions

Go beyond text generation. Search, extract, and more.

Standardized & Reliable

A robust protocol ensures predictable results.

THE TOOLBOX

A Comprehensive Suite of Tools

GETTING STARTED

Connect to Your AI in Minutes

Cursor

Claude Desktop

ChatGPT

Python

Connect Cursor

Add the server to your Cursor MCP settings (Settings → Features → MCP → "Add New MCP Server", type streamableHttp), or use the JSON configuration:

// In Cursor MCP settings
{
  "mcpServers": {
    "scrapingbee": {
      "url": "https://mcp.scrapingbee.com/mcp?api_key=<your_api_key>"
    }
  }
}

Connect Claude Desktop

Open Settings → Developer → MCP Servers → Edit Config, add the entry below, then restart Claude Desktop.

// In claude_desktop_config.json
{
  "mcpServers": {
    "scrapingbee": {
      "url": "https://mcp.scrapingbee.com/mcp?api_key=<your_api_key>"
    }
  }
}

Connect ChatGPT

In ChatGPT, open Settings → Connected apps (MCP) → add a new MCP server, then enter the URL below, save, and enable the connection.

https://mcp.scrapingbee.com/mcp?api_key=<your_api_key>

Connect from Python

Use the official mcp Python SDK with its Streamable HTTP client:

import asyncio
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client

async def main():
    url = "https://mcp.scrapingbee.com/mcp?api_key=<your_api_key>"
    async with streamablehttp_client(url) as (read, write, _):
        async with ClientSession(read, write) as session:
            await session.initialize()
            tools = await session.list_tools()
            print(tools)

asyncio.run(main())

QUESTIONS?

Frequently Asked Questions

How do I get a ScrapingBee API key?

An API key is required to use these tools. You can get a free key with 1,000 credits by registering here. The key should be passed as a query parameter in the MCP URL.

When should I use `premium_proxy` or `stealth_proxy`?

Start without them. If you get blocked (e.g., receive an error or CAPTCHA page), try premium_proxy: true. If you are still blocked, stealth_proxy: true will help you to unblock it.

Can I scrape more than just text?

Yes. The server provides tools to get the full `get_page_html`, take a `get_screenshot` of the page (or a specific element), and even download files like images or PDFs using the `get_file` tool.

How much does each request cost?

Each requests will be charged based on the proxy and features you are using. For more details, you can refer to this link.

Ready to Build?

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