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 Tools

Oxylabs MCP provides two sets of tools that can be used together or independently:

Oxylabs Web Scraper API tools

1. universal_scraper: scrapes any URL, with optional JavaScript rendering, geo-targeting, and Markdown/HTML/links output;
2. google_search_scraper: extracts results from Google Search, with optional parsing into structured JSON;
3. amazon_search_scraper: scrapes Amazon search result pages, with optional parsing into structured JSON;
4. amazon_product_scraper: extracts data from individual Amazon product pages.

Oxylabs AI Studio tools

5. ai_scraper: scrapes content from any URL with AI-powered extraction, in JSON, CSV, Markdown, or TOON format;
6. ai_crawler: crawls a website from a starting URL based on a prompt and collects data across multiple pages;
7. ai_browser_agent: controls a real browser based on a prompt — navigates, clicks, fills forms — and returns the result;
8. ai_search: searches the web and optionally returns Markdown content of each result;
9. ai_map: maps a website's URLs, filtered by keywords or a prompt;
10. 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 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"

📦 Configuration

Environment variables

Oxylabs MCP server supports the following environment variables:

Based on the provided credentials, the server automatically exposes the corresponding tools:

• If only OXYLABS_USERNAME and OXYLABS_PASSWORD are provided, the server exposes the Web Scraper API tools;
• If only OXYLABS_AI_STUDIO_API_KEY is provided, the server exposes the AI Studio tools;
• If all three are provided, the server exposes all tools.

❗ 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 — 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-mcp

With the HTTP transport, credentials are passed per request instead of environment variables:

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 → 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

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:

🛡️ 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.

mcp-name: io.oxylabs/oxylabs-mcp