About oxylabs-oxylabs-mcp
oxylabs-oxylabs-mcp is an MCP server for fetching and processing web content through the Oxylabs Web Scraper API and AI Studio. Its tools cover URL scraping, search, crawling, browser actions, structured extraction, and geo-targeted access.
Key features
- 01Scrape URLs with optional JavaScript rendering
- 02Search Google and Amazon results
- 03Extract AI-formatted content and structured data
- 04Crawl sites and map URLs
- 05Operate a browser through prompt-based actions
- 06Handle CAPTCHA and geo-targeting
Use cases
- 01Collect content from JavaScript-heavy websites
- 02Retrieve structured Google or Amazon results
- 03Crawl multiple pages for prompted data collection
- 04Let an AI assistant search and summarize web content
MCP support
Exposes Oxylabs Web Scraper API and AI Studio functions as MCP tools, including scraping, search, crawling, browser control, and schema generation. It can run as a hosted connection or as a locally configured server.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://server.smithery.ai/@oxylabs/oxylabs-mcp/mcpclaude mcp add --transport http ai-smithery-oxylabs-oxylabs https://server.smithery.ai/@oxylabs/oxylabs-mcp/mcp{"mcpServers":{"ai-smithery-oxylabs-oxylabs":{"type":"http","url":"https://server.smithery.ai/@oxylabs/oxylabs-mcp/mcp"}}}Open in Cursor{"servers":{"ai-smithery-oxylabs-oxylabs":{"type":"http","url":"https://server.smithery.ai/@oxylabs/oxylabs-mcp/mcp"}}}Open in VS Code{"mcpServers":{"ai-smithery-oxylabs-oxylabs":{"type":"http","url":"https://server.smithery.ai/@oxylabs/oxylabs-mcp/mcp"}}}{"mcpServers":{"ai-smithery-oxylabs-oxylabs":{"serverUrl":"https://server.smithery.ai/@oxylabs/oxylabs-mcp/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
https://server.smithery.ai/@oxylabs/oxylabs-mcp/mcpAuth requiredTools
Details
From the project README
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, 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.
mcp-name: io.oxylabs/oxylabs-mcp
🛠️ 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 — navigates, clicks, fills forms — 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.
✅ Prerequisites
Before you begin, make sure you have at least one of the following:
- Oxylabs Web Scraper API account: obtain an API token (or your username and password) from the Oxylabs dashboard (1-week free trial available);
- Oxylabs AI Studio API key: obtain your API key from Oxylabs AI Studio (1000 credits free).
To run the server locally (Option 2 below) you will also need the uv package manager:
# 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"
📦 Configuration
There are two ways to use the server: connect to the hosted instance (no installation) or run it locally with credentials in environment variables.
Option 1: Hosted server (no installation)
Oxylabs runs a hosted MCP server at:
https://mcp.oxylabs.io/mcp
Credentials are passed with request headers:
| Credential | Header |
|---|---|
| Web Scraper API token (recommended) | Authorization: Bearer <token> |
| Web Scraper API token (alternative) | X-Oxylabs-Api-Token |
| Web Scraper API username and password | Authorization: Basic <base64(username:password)> |
| Web Scraper API username and password (alt.) | X-Oxylabs-Username and X-Oxylabs-Password |
| AI Studio | X-Oxylabs-AI-Studio-Api-Key |
If both an API token and a username and password are passed, the token is used.
Setup with Claude Code:
claude mcp add --transport http oxylabs https://mcp.oxylabs.io/mcp \
--header "Authorization: Bearer YOUR_API_TOKEN" \
--header "X-Oxylabs-AI-Studio-Api-Key: YOUR_API_KEY"
Setup with Cursor or any client that supports remote MCP servers with custom headers:
{
"mcpServers": {
"oxylabs": {
"url": "https://mcp.oxylabs.io/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN",
"X-Oxylabs-AI-Studio-Api-Key": "YOUR_API_KEY"
}
}
}
}
The server is also listed on Smithery.
Note: clients that only support OAuth for remote servers (for example, adding a custom connector in the claude.ai web UI) cannot pass headers yet — OAuth sign-in is on our roadmap. Use the local setup below with those clients in the meantime.
Option 2: Run locally
Environment variables
Oxylabs MCP server supports the following environment variables:
| Name | Description | Default |
|---|---|---|
OXYLABS_API_TOKEN | Your Oxylabs Web Scraper API token | |
OXYLABS_USERNAME | Your Oxylabs Web Scraper API username | |
OXYLABS_PASSWORD | Your Oxylabs Web Scraper API password | |
OXYLABS_AI_STUDIO_API_KEY | Your Oxylabs AI Studio API key | |
LOG_LEVEL | Log level for the logs returned to the client | INFO |
For the Web Scraper API tools, set either OXYLABS_API_TOKEN or both OXYLABS_USERNAME and
OXYLABS_PASSWORD. If both are set, the token is used. For the AI Studio tools, set
OXYLABS_AI_STUDIO_API_KEY.
All tools are always listed; calling a tool without the credentials it needs returns an error message explaining what to configure.
❗ Important: only set the environment variables you have real credentials for. Placeholder values make tool calls fail.
Configure with uvx
Installs the package from PyPI and runs it automatically:
{
"mcpServers": {
"oxylabs": {
"command": "uvx",
"args": ["oxylabs-mcp"],
"env": {
"OXYLABS_API_TOKEN": "YOUR_API_TOKEN",
"OXYLABS_AI_STUDIO_API_KEY": "YOUR_API_KEY"
}
}
}
}
Configure with a local checkout
Useful for development — 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_API_TOKEN": "YOUR_API_TOKEN",
"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-mcp
With the HTTP transport, credentials are passed per request instead of environment variables:
| Credential | How to pass it |
|---|---|
| Web Scraper API token (recommended) | Authorization: Bearer <token> |
| Web Scraper API token (alternative) | X-Oxylabs-Api-Token header |
| Web Scraper API username and password | Authorization: Basic <base64(username:password)> (HTTP Basic auth) |
| Web Scraper API username and password (alt.) | X-Oxylabs-Username and X-Oxylabs-Password headers |
| AI Studio | X-Oxylabs-AI-Studio-Api-Key header |
Example client configuration:
{
"mcpServers": {
"oxylabs": {
"url": "https://your-host:8000/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN",
"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 → Settings → Developer → Edit Config and add one of the configurations above to the claude_desktop_config.json file.
Setup with Cursor AI
Navigate to Cursor → Settings → Cursor Settings → MCP. Click Add new global MCP server and add one of the configurations above.
📝 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"
}
}
✨ 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 more
Manage CAPTCHA & geo-restrictions
- 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
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
Why Oxylabs MCP? 🕸️ ➜ 📦 ➜ 🤖
Imagine telling your LLM "Summarise the latest Hacker News discussion about GPT‑5" – 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 | Single‑page apps, sorted |
| Cleans HTML → Markdown | Drop straight into vector DBs or prompts |
| Optional structured parsers (Google, Amazon, etc.) | One‑line access to popular targets |
🛡️ 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.
Solutions made based on this MCP:
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
