Oxylabs MCP • Metorial Index

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=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 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

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"
      }
    }
  }
}

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",
        "//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 LICENSE 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.

Made with ☕ by Oxylabs. Feel free to give us a ⭐ if MCP saved you a weekend.