A Model Context Protocol (MCP) server that enables AI assistants like Claude to seamlessly access web data through Oxylabs' powerful web scraping technology.
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 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.
Scrape content from any site
- Extract data from any URL, including complex single-page applications
- Fully render dynamic websites using headless browser support
- Handle JavaScript-heavy and client-rendered content
- 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 dedicated parsers extract structured data from popular targets like Google, Amazon, and etc.
- Define your custom parsing logic for any target
Bypass blocks & geo-restrictions
- Bypass sophisticated bot protection systems with high success rate
- Reliably scrape even the most complex websites
- Access geo-specific content from 195+ countries
- Automatically rotate IPs and target specific regions
Flexible setup, batch scraping & cross-platform support
- Customize rendering and parsing options per request
- Handle multiple URLs in a single job using Batch requests
- Feed data directly into AI models or analytics tools
- Works on macOS, Windows, and Linux
Built-in error handling and smart request management
- Comprehensive error handling and reporting
- Intelligent rate limiting and request management
When you've set up the MCP server with Claude or another AI assistant, 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
Before you begin, make sure you have:
- Oxylabs Account: Obtain your username and password from Oxylabs (1-week free trial available)
- Node.js (v16+)
npxcommand-line tool
- Python 3.12+
uvpackage manager – install it using this guide
Automatically install Oxylabs MCP server for Claude Desktop via Smithery:
npx -y @smithery/cli install @oxylabs/oxylabs-mcp --client claudeImportant
Requires Cursor version 0.45.6+
To configure Oxylabs in Cursor:
- Open Cursor Settings
- Go to Features > MCP Servers
- Click "+ Add New MCP Server"
- Enter the following:
- Name:
oxylabs(or your preferred name) - Type:
command - Command:
npx -y @smithery/cli@latest run @oxylabs/oxylabs-mcp --config "{\"oxylabsUsername\":\"YOUR_USERNAME\",\"oxylabsPassword\":\"YOUR_PASSWORD\"}"
- Name:
Replace your-username and your-password with your Oxylabs credentials.
Tip
If you're using Windows and run into issues, try this:
cmd /c "set OXYLABS_USERNAME=your-username && set OXYLABS_PASSWORD=your-password && npx -y oxylabs-mcp"
After that, refresh the MCP server list to see the new tools. The Composer Agent will automatically use Oxylabs when appropriate, but you can explicitly request it by describing your web scraping needs. Access the Composer via Command+L (Mac), select "Agent" next to the submit button, and enter your query.
Enable Developer Mode and then 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"
}
}
}
}git clone <git:url>
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 syncEnable Developer Mode and then 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"
}
}
}
}make runThen 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.
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 |
This server provides two main tools:
- oxylabs_scraper: Uses Oxylabs Web Scraper API for general website scraping
- 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.
Warning
Usage with the MCP Inspector is affected by an ongoing issue with the Python SDK for MCP, see: modelcontextprotocol/python-sdk#85. For Claude, a forked version of the SDK is used as a temporary fix.
This project is licensed under the MIT License.
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.
