Oxylabs MCP Server
OfficialThe Oxylabs MCP Server enables AI models to interact with web content by scraping and processing data from any URL. Key capabilities include:
Scrape content from any site, including JavaScript-heavy single-page applications
Process data into AI-ready formats by cleaning HTML and converting to Markdown
Extract structured data using automated parsers for popular sites like Google and Amazon
Bypass protection systems and access geo-restricted content using proxies from 195+ countries
Configure rendering options with flexible setup for headless browsing or direct scraping
Integrate across platforms with macOS, Windows, and Linux support
Handle errors intelligently with built-in error reporting and smart rate limiting
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Oxylabs MCP Serverscrape the latest iPhone reviews from Amazon and summarize them"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
π 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, manage CAPTCHA, and access geo-restricted web data from 195+ countries.
It is built on the Model Context Protocol (MCP), the open standard for connecting AI assistants to external tools and data.
Related MCP server: FreeCrawl MCP Server
π οΈ MCP Tools
Oxylabs MCP provides two sets of tools that can be used together or independently:
Oxylabs Web Scraper API tools
universal_scraper: scrapes any URL, with optional JavaScript rendering, geo-targeting, and Markdown/HTML/links output;
google_search_scraper: extracts results from Google Search, with optional parsing into structured JSON;
amazon_search_scraper: scrapes Amazon search result pages, with optional parsing into structured JSON;
amazon_product_scraper: extracts data from individual Amazon product pages.
Oxylabs AI Studio tools
ai_scraper: scrapes content from any URL with AI-powered extraction, in JSON, CSV, Markdown, or TOON format;
ai_crawler: crawls a website from a starting URL based on a prompt and collects data across multiple pages;
ai_browser_agent: controls a real browser based on a prompt β navigates, clicks, fills forms β and returns the result;
ai_search: searches the web and optionally returns Markdown content of each result;
ai_map: maps a website's URLs, filtered by keywords or a prompt;
generate_schema: generates an OpenAPI-format JSON schema for structured extraction with the AI tools above.
β Prerequisites
Before you begin, make sure you have at least one of the following:
Oxylabs Web Scraper API account: obtain your username and password from Oxylabs (1-week free trial available);
Oxylabs AI Studio API key: obtain your API key from Oxylabs AI Studio (1000 credits free).
You will also need the uv package manager to run the server:
# 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"π¦ Configuration
Environment variables
Oxylabs MCP server supports the following environment variables:
Name | Description | Default |
| Your Oxylabs Web Scraper API username | |
| Your Oxylabs Web Scraper API password | |
| Your Oxylabs AI Studio API key | |
| Log level for the logs returned to the client |
|
Based on the provided credentials, the server automatically exposes the corresponding tools:
If only
OXYLABS_USERNAMEandOXYLABS_PASSWORDare provided, the server exposes the Web Scraper API tools;If only
OXYLABS_AI_STUDIO_API_KEYis provided, the server exposes the AI Studio tools;If all three are provided, the server exposes all tools.
β Important: only set the environment variables you have real credentials for. Leaving placeholder values will result in exposed tools that do not work.
Configure with uvx
Installs the package from PyPI and runs it automatically:
{
"mcpServers": {
"oxylabs": {
"command": "uvx",
"args": ["oxylabs-mcp"],
"env": {
"OXYLABS_USERNAME": "YOUR_USERNAME",
"OXYLABS_PASSWORD": "YOUR_PASSWORD",
"OXYLABS_AI_STUDIO_API_KEY": "YOUR_API_KEY"
}
}
}
}Configure with a local checkout
Useful for development β runs the server from a local clone of this repository:
{
"mcpServers": {
"oxylabs": {
"command": "uv",
"args": [
"--directory",
"/<absolute-path-to-folder>/oxylabs-mcp",
"run",
"oxylabs-mcp"
],
"env": {
"OXYLABS_USERNAME": "YOUR_USERNAME",
"OXYLABS_PASSWORD": "YOUR_PASSWORD",
"OXYLABS_AI_STUDIO_API_KEY": "YOUR_API_KEY"
}
}
}
}Running as a remote HTTP server (self-hosting)
The server also supports the MCP streamable-HTTP transport. Start it with:
MCP_TRANSPORT=streamable-http MCP_HOST=0.0.0.0 MCP_PORT=8000 uvx oxylabs-mcpWith the HTTP transport, credentials are passed per request instead of environment variables:
Credential | How to pass it |
Web Scraper API |
|
Web Scraper API (alternative) |
|
AI Studio |
|
Example client configuration:
{
"mcpServers": {
"oxylabs": {
"url": "https://your-host:8000/mcp",
"headers": {
"Authorization": "Basic <base64 of username:password>",
"X-Oxylabs-AI-Studio-Api-Key": "YOUR_API_KEY"
}
}
}
}All tools are always listed regardless of provided credentials; calling a tool without the credentials it needs returns an error message explaining exactly what to configure.
Setup with Claude Desktop
Navigate to Claude β Settings β Developer β Edit Config and add one of the configurations above to the claude_desktop_config.json file.
Setup with Cursor AI
Navigate to Cursor β Settings β Cursor Settings β MCP. Click Add new global MCP server and add one of the configurations above.
π Logging
The 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"
}
}β¨ Key Features
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 clean and convert HTML to Markdown for improved readability
Use automated parsers for popular targets like Google, Amazon, and more
Navigate sophisticated automated request management systems with high success rate
Reliably scrape even the most complex websites
Get automatically rotating IPs from a proxy pool covering 195+ countries
Set rendering and parsing options if needed
Feed data directly into AI models or analytics tools
Works on macOS, Windows, and Linux
Comprehensive error handling and reporting
Smart rate limiting and request management
Why Oxylabs MCP? πΈοΈ β π¦ β π€
Imagine telling your LLM "Summarise the latest Hacker News discussion about GPTβ5" β and it simply answers. The Oxylabs MCP server makes that happen by doing the boring parts for you:
What Oxylabs MCP does | Why it matters to you |
Manages automated request walls with the Oxylabs global proxy network | Enables website access and anonymity |
Renders JavaScript in headless Chrome | Singleβpage apps, sorted |
Cleans HTML β Markdown | Drop straight into vector DBs or prompts |
Optional structured parsers (Google, Amazon, etc.) | Oneβline access to popular targets |
π‘οΈ License
Distributed under the MIT License β 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.

mcp-name: io.oxylabs/oxylabs-mcp
Maintenance
Related MCP Servers
- AlicenseCqualityDmaintenanceA powerful tool for fetching and extracting text content from web pages and APIs, supporting web scraping, REST API requests, and Google Custom Search integration.510MIT
- Alicense-qualityDmaintenanceEnables web scraping and document processing with JavaScript execution, anti-detection measures, batch processing, and structured data extraction. Supports multiple formats including markdown, HTML, screenshots, and handles PDFs with OCR capabilities.3MIT
- AlicenseBqualityCmaintenanceEnables web scraping and data extraction from websites with geographic flexibility, privacy features, and anti-detection capabilities. Supports scraping general websites, Google Search, Amazon Search, and Reddit with customizable parameters for rendering, geolocation, and locale.3015334ISC
- AlicenseAqualityBmaintenanceEnables AI agents to scrape any website by providing tools for JavaScript rendering, antibot bypass, and automatic captcha solving. It supports synchronous, asynchronous, and batch scraping operations with built-in proxy rotation.5207MIT
Related MCP Connectors
FineData web scraping MCP β JavaScript rendering, captcha solving, markdown for AI agents
Automate cloud browsers to navigate websites, interact with elements, and extract structured data.β¦
Enable language models to perform advanced AI-powered web scraping with enterprise-grade reliabiliβ¦
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/oxylabs/oxylabs-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server