MCP Server for Oxylabs Scraper

A Model Context Protocol (MCP) server that enables AI assistants like Claude to seamlessly access web data through Oxylabs' powerful web scraping technology.

📖 Overview

The Oxylabs MCP server provides a bridge between AI models and the web. It enables them to scrape any URL, render JavaScript-heavy pages, extract and format content for AI use, bypass anti-scraping measures, and access geo-restricted web data from 195+ countries.

This implementation leverages the Model Context Protocol (MCP) to create a secure, standardized way for AI assistants to interact with web content.

✨ Key Features

Scrape content from any site

• Extract data from any URL, including complex single-page applications
• Fully render dynamic websites using headless browser support
• Choose full JavaScript rendering, HTML-only, or none
• Emulate Mobile and Desktop viewports for realistic rendering

Automatically get AI-ready data

• Automatically clean and convert HTML to Markdown for improved readability
• Use automated parsers for popular targets like Google, Amazon, and etc.

Bypass blocks & geo-restrictions

• Bypass sophisticated bot protection systems with high success rate
• Reliably scrape even the most complex websites
• Get automatically rotating IPs from a proxy pool covering 195+ countries

Flexible setup & cross-platform support

• Set rendering and parsing options if needed
• Feed data directly into AI models or analytics tools
• Works on macOS, Windows, and Linux

Built-in error handling and request management

• Comprehensive error handling and reporting
• Smart rate limiting and request management

💡 Example Queries

When you've set up the MCP server with Claude, you can make requests like:

• Could you scrape https://www.google.com/search?q=ai page?
• Scrape https://www.amazon.de/-/en/Smartphone-Contract-Function-Manufacturer-Exclusive/dp/B0CNKD651V with parse enabled
• Scrape https://www.amazon.de/-/en/gp/bestsellers/beauty/ref=zg_bs_nav_beauty_0 with parse and render enabled
• Use web unblocker with render to scrape https://www.bestbuy.com/site/top-deals/all-electronics-on-sale/pcmcat1674241939957.c

✅ Prerequisites

Before you begin, make sure you have:

• Oxylabs Account: Obtain your username and password from Oxylabs (1-week free trial available)

Basic Usage

Via Smithery CLI:

• Node.js (v16+)
• npx command-line tool

Via uv:

• uv package manager – install it using this guide

Local/Dev Setup

• Python 3.12+
• uv package manager – install it using this guide

🧩 API Parameters

The Oxylabs MCP server supports these parameters:

Parameter	Description	Values
url	The URL to scrape	Any valid URL
parse	Enable structured data extraction	True or False
render	Use headless browser rendering	html or None

⚙️ Basic Setup Instructions

Install via Smithery

Automatically install Oxylabs MCP server for Claude Desktop via Smithery:

npx -y @smithery/cli install @oxylabs/oxylabs-mcp --client claude

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Install using uv in Claude Desktop

With uv installed, this method will automatically set up the Oxylabs MCP server in Claude Desktop. Navigate to Claude → Settings → Developer → Edit Config and edit your claude_desktop_config.json file as follows:

{
  "mcpServers": {
    "oxylabs_scraper": {
      "command": "uvx",
      "args": ["oxylabs-mcp"],
      "env": {
        "OXYLABS_USERNAME": "YOUR_USERNAME_HERE",
        "OXYLABS_PASSWORD": "YOUR_PASSWORD_HERE"
      }
    }
  }
}

[!TIP] If you run into errors, try using the full path to uvx in the command field. For example, /Users/my-user/.local/bin/uvx.

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💻 Local/Dev Setup Instructions

Clone repository

git clone <git:url>

Install dependencies

Install MCP server dependencies:

cd mcp-server-oxylabs

# Create virtual environment and activate it
uv venv

source .venv/bin/activate # MacOS/Linux
# OR
.venv/Scripts/activate # Windows

# Install dependencies
uv sync

Setup with Claude Desktop

Navigate to Claude → Settings → Developer → Edit Config and edit your claude_desktop_config.json file as follows:

{
  "mcpServers": {
    "oxylabs_scraper": {
      "command": "uv",
      "args": [
        "--directory",
        "/<Absolute-path-to-folder>/oxylabs-mcp",
        "run",
        "oxylabs-mcp"
      ],
      "env": {
        "OXYLABS_USERNAME": "YOUR_USERNAME_HERE",
        "OXYLABS_PASSWORD": "YOUR_PASSWORD_HERE"
      }
    }
  }
}

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🐞 Debugging

make run

Then access MCP Inspector at http://localhost:5173. You may need to add your username and password as environment variables in the inspector under OXYLABS_USERNAME and OXYLABS_PASSWORD.

🛠️ Technical Details

This server provides two main tools:

1. oxylabs_scraper: Uses Oxylabs Web Scraper API for general website scraping
2. oxylabs_web_unblocker: Uses Oxylabs Web Unblocker for hard-to-access websites

Web Scraper API supports JavaScript rendering, parsed structured data, and cleaned HTML in Markdown format. Web Unblocker offers JavaScript rendering and cleaned HTML, but doesn’t return parsed data.

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[!WARNING] Usage with the MCP Inspector is affected by an ongoing issue with the Python SDK for MCP, see: https://github.com/modelcontextprotocol/python-sdk/pull/85. For Claude, a forked version of the SDK is used as a temporary fix.

License

This project is licensed under the MIT License.

About Oxylabs

Established in 2015, Oxylabs is a market-leading web intelligence collection platform, driven by the highest business, ethics, and compliance standards, enabling companies worldwide to unlock data-driven insights.