oxylabs-mcp
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The Oxylabs MCP server provides a bridge between AI models and the web, enabling 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.
Oxylabs MCP Server
The missing link between AI models and the real‑world web: one API that delivers clean, structured data from any site.
📖 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.
Why Oxylabs MCP? 🕸️ ➜ 📦 ➜ 🤖
Imagine telling your LLM "Summarise the latest Hacker News discussion about GPT‑7" – and it simply answers.
MCP (Multi‑Client Proxy) makes that happen by doing the boring parts for you:
| What Oxylabs MCP does | Why it matters to you |
|---|---|
| Bypasses anti‑bot walls with the Oxylabs global proxy network | Keeps you unblocked and anonymous |
| Renders JavaScript in headless Chrome | Single‑page apps, sorted |
| Cleans HTML → JSON | Drop straight into vector DBs or prompts |
| Optional structured parsers (Google, Amazon, etc.) | One‑line access to popular targets |
✨ 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
🛠️ MCP Tools
Oxylabs MCP provides the following tools:
- universal_scraper: Uses Oxylabs Web Scraper API for general website scraping.
- google_search_scraper: Uses Oxylabs Web Scraper API to extract results from Google Search.
- amazon_search_scraper: Uses Oxylabs Web Scraper API to scrape Amazon search result pages.
- amazon_product_scraper: Uses Oxylabs Web Scraper API to extract data from individual Amazon product pages.
💡 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=aipage? - Scrape
https://www.amazon.de/-/en/Smartphone-Contract-Function-Manufacturer-Exclusive/dp/B0CNKD651Vwith parse enabled - Scrape
https://www.amazon.de/-/en/gp/bestsellers/beauty/ref=zg_bs_nav_beauty_0with 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+)
npxcommand-line tool
Via uv:
uvpackage manager – install it using this guide
Local/Dev Setup
- Python 3.12+
uvpackage manager – install it using this guide
🧩 API Parameters
The Oxylabs MCP Universal Scraper accepts these parameters:
| Parameter | Description | Values |
|---|---|---|
url | The URL to scrape | Any valid URL |
render | Use headless browser rendering | html or None |
geo_location | Sets the proxy's geo location to retrieve data. | Brasil, Canada, etc. |
user_agent_type | Device type and browser | desktop, tablet, etc. |
output_format | The format of the output | links, md, html |
🔧 Configuration
smithery
- Go to https://smithery.ai/server/@oxylabs/oxylabs-mcp
- Login with GitHub
- Find the Install section
- Follow the instructions to generate the config
Auto install with Smithery CLI
# example for Claude Desktop
npx -y @smithery/cli@latest install @upstash/context7-mcp --client claude --key <smithery_key>
uvx
- Install the uv
# macOS and Linux
curl -LsSf https://astral.sh/uv/install.sh | sh
# Windows
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
- Use the following config
{
"mcpServers": {
"oxylabs": {
"command": "uvx",
"args": ["oxylabs-mcp"],
"env": {
"OXYLABS_USERNAME": "OXYLABS_USERNAME",
"OXYLABS_PASSWORD": "OXYLABS_PASSWORD"
}
}
}
}
uv
- Install the uvx
# macOS and Linux
curl -LsSf https://astral.sh/uv/install.sh | sh
# Windows
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
- Use the following config
{
"mcpServers": {
"oxylabs": {
"command": "uv",
"args": [
"--directory",
"/<Absolute-path-to-folder>/oxylabs-mcp",
"run",
"oxylabs-mcp"
],
"env": {
"OXYLABS_USERNAME": "OXYLABS_USERNAME",
"OXYLABS_PASSWORD": "OXYLABS_PASSWORD"
}
}
}
}
Manual Setup with Claude Desktop
Navigate to Claude → Settings → Developer → Edit Config and add one of the configurations above to the claude_desktop_config.json file.
Manual Setup with Cursor AI
Navigate to Cursor → Settings → Cursor Settings → MCP. Click Add new global MCP server and add one of the configurations above.
⚙️ Environment variables
Oxylabs MCP server supports the following environment variables
| Name | Description | Mandatory | Default |
|---|---|---|---|
OXYLABS_USERNAME | Your Oxylabs username | true | |
OXYLABS_PASSWORD | Your Oxylabs password | true | |
LOG_LEVEL | Log level for the logs returned to the client | false | INFO |
📝 Logging
Server provides additional information about the tool calls in notification/message events
{
"method": "notifications/message",
"params": {
"level": "info",
"data": "Create job with params: {\"url\": \"https://ip.oxylabs.io\"}"
}
}
{
"method": "notifications/message",
"params": {
"level": "info",
"data": "Job info: job_id=7333113830223918081 job_status=done"
}
}
{
"method": "notifications/message",
"params": {
"level": "error",
"data": "Error: request to Oxylabs API failed"
}
}
🛡️ License
Distributed under the MIT License – see for details.
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.
