PluginBench
MCP Server
Active
MIT

io.oxylabs/oxylabs-mcp MCP Server

io.oxylabs/oxylabs-mcp

Fetch and process web content from any URL using Oxylabs Web Scraper API and AI Studio tools.

What is the io.oxylabs/oxylabs-mcp MCP server?

The Oxylabs MCP server bridges AI models and the web by providing tools to scrape any URL, render JavaScript-heavy pages, extract structured data, and access geo-restricted content from 195+ countries. It offers both Web Scraper API tools (universal scraper, Google/Amazon search, product pages) and AI Studio tools (AI scraper, crawler, browser agent, search, mapping).

Oxylabs MCP enables AI assistants to reliably fetch and process real-world web content. It handles CAPTCHA, JavaScript rendering, HTML-to-Markdown conversion, and automated request management so you can focus on what to do with the data. Use it to let Claude or Cursor summarize web pages, extract structured data, search Google, scrape Amazon, or navigate complex websites.

How to install io.oxylabs/oxylabs-mcp

Copy-paste configuration for popular MCP clients.

transport: stdio
Config generated by PluginBench — verify against the source before use.
Environment / auth
  • OXYLABS_USERNAME
    secret

    Your Oxylabs username

  • OXYLABS_PASSWORD
    secret

    Your Oxylabs password

  • OXYLABS_AI_STUDIO_API_KEY
    secret

    Your Oxylabs AI Studio api key

  • Authorization
    secret

    HTTP Basic auth with your Oxylabs Web Scraper API username and password: 'Basic <base64(username:password)>'

  • X-Oxylabs-AI-Studio-Api-Key
    secret

    Your Oxylabs AI Studio API key

~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "oxylabs-mcp": {
      "command": "uvx",
      "args": [
        "oxylabs-mcp"
      ],
      "env": {
        "OXYLABS_USERNAME": "<YOUR_OXYLABS_USERNAME>",
        "OXYLABS_PASSWORD": "<YOUR_OXYLABS_PASSWORD>",
        "OXYLABS_AI_STUDIO_API_KEY": "<YOUR_OXYLABS_AI_STUDIO_API_KEY>",
        "Authorization": "<YOUR_AUTHORIZATION>",
        "X-Oxylabs-AI-Studio-Api-Key": "<YOUR_X_OXYLABS_AI_STUDIO_API_KEY>"
      }
    }
  }
}

Tools & capabilities

Tools this server exposes to the agent.

  • universal_scraper — Scrapes any URL with optional JavaScript rendering, geo-targeting, and output in Markdown/HTML/links format.
  • 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.
  • 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 AI tools.

Use cases

  • Summarize latest news or discussions from any website by scraping and processing content
  • Extract product data and prices from Amazon search results and product pages
  • Search Google and retrieve structured results for research or data collection
  • Scrape JavaScript-heavy single-page applications and dynamic websites
  • Navigate complex websites with a browser agent to fill forms, click buttons, and collect data across multiple pages

io.oxylabs/oxylabs-mcp MCP server FAQ

What is the Oxylabs MCP server?

It's an MCP server that connects AI models to web scraping and data extraction capabilities. It provides tools to scrape any URL, render JavaScript, extract structured data, and access geo-restricted content using Oxylabs' Web Scraper API and AI Studio.

Is it free?

Oxylabs offers a 1-week free trial for the Web Scraper API and 1000 free credits for AI Studio. After that, you need a paid account.

How do I install it in Cursor or Claude?

You can use the hosted instance at https://mcp.oxylabs.io/mcp (no installation needed) by adding it to your MCP config with your credentials as headers. Alternatively, install locally via `uvx oxylabs-mcp` with environment variables for your credentials.

What authentication is required?

You need either Oxylabs Web Scraper API credentials (username/password from dashboard.oxylabs.io) or an AI Studio API key (from aistudio.oxylabs.io). You can use one or both depending on which tools you need.

Can I run it locally or only use the hosted version?

You can do both. Use the hosted instance at https://mcp.oxylabs.io/mcp with headers, or run it locally with the `uv` package manager and environment variables. You can also self-host it as an HTTP server.

What output formats does it support?

The server supports Markdown, HTML, JSON, CSV, and TOON formats depending on the tool. The universal_scraper outputs Markdown/HTML/links, while AI tools support JSON, CSV, Markdown, and TOON.

README (reference)

Source of truth, from the repository.

<p align="center"> <img src="https://storage.googleapis.com/oxylabs-public-assets/oxylabs_mcp.svg" alt="Oxylabs + MCP"> </p> <h1 align="center" style="border-bottom: none;"> Oxylabs MCP Server </h1> <p align="center"> <em>The missing link between AI models and the real‑world web: one API that delivers clean, structured data from any site.</em> </p> <div align="center">

pypi package eWsVUJrnG5 Licence Verified on MseeP Coverage badge

<br/> <a href="https://glama.ai/mcp/servers/@oxylabs/oxylabs-mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@oxylabs/oxylabs-mcp/badge" alt="Oxylabs Server MCP server" /> </a> </div>

📖 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

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

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:

CredentialHeader
Web Scraper APIAuthorization: Basic <base64(username:password)>
Web Scraper API (alternative)X-Oxylabs-Username and X-Oxylabs-Password
AI StudioX-Oxylabs-AI-Studio-Api-Key

Setup with Claude Code:

claude mcp add --transport http oxylabs https://mcp.oxylabs.io/mcp \
  --header "Authorization: Basic $(echo -n 'YOUR_USERNAME:YOUR_PASSWORD' | base64)" \
  --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": "Basic <base64 of username:password>",
        "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:

NameDescriptionDefault
OXYLABS_USERNAMEYour Oxylabs Web Scraper API username
OXYLABS_PASSWORDYour Oxylabs Web Scraper API password
OXYLABS_AI_STUDIO_API_KEYYour Oxylabs AI Studio API key
LOG_LEVELLog level for the logs returned to the clientINFO

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:

CredentialHow to pass it
Web Scraper APIAuthorization: Basic <base64(username:password)> (standard HTTP Basic auth)
Web Scraper API (alternative)X-Oxylabs-Username and X-Oxylabs-Password headers
AI StudioX-Oxylabs-AI-Studio-Api-Key header

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

<details> <summary><strong> Scrape content from any site</strong></summary> <br>
  • 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
</details> <details> <summary><strong> Automatically get AI-ready data</strong></summary> <br>
  • Automatically clean and convert HTML to Markdown for improved readability
  • Use automated parsers for popular targets like Google, Amazon, and more
</details> <details> <summary><strong> Manage CAPTCHA & geo-restrictions</strong></summary> <br>
  • 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
</details> <details> <summary><strong> Flexible setup & cross-platform support</strong></summary> <br>
  • Set rendering and parsing options if needed
  • Feed data directly into AI models or analytics tools
  • Works on macOS, Windows, and Linux
</details> <details> <summary><strong> Built-in error handling and request management</strong></summary> <br>
  • Comprehensive error handling and reporting
  • Smart rate limiting and request management
</details>

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 doesWhy it matters to you
Manages automated request walls with the Oxylabs global proxy networkEnables website access and anonymity
Renders JavaScript in headless ChromeSingle‑page apps, sorted
Cleans HTML → MarkdownDrop 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.

image

<div align="center"> <sub> Made with ☕ by <a href="https://oxylabs.io">Oxylabs</a>. Feel free to give us a ⭐ if MCP saved you a weekend. </sub> </div>

mcp-name: io.oxylabs/oxylabs-mcp

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