Oxylabs Mcp 伺服器

Oxylabs MCP 是什麼？

Oxylabs MCP（管理雲代理）是一個強大的解決方案，旨在通過住宅和數據中心代理網絡為用戶提供無縫訪問網絡數據的能力。這項服務專為需要可靠和高效的網絡爬蟲功能的企業和開發者量身定制，確保他們能夠從各種在線來源收集數據，而不會被封鎖或限制。

Oxylabs MCP 的特點

• 廣泛的代理網絡：Oxylabs MCP 擁有超過 1 億個住宅 IP 和數據中心代理的龐大網絡，使用戶能夠訪問地理定位內容並繞過限制。
• 高匿名性：該服務確保用戶的匿名性，使網站難以檢測爬蟲活動，從而降低 IP 被封鎖的風險。
• 用戶友好的儀表板：直觀的儀表板使用戶能輕鬆管理其代理設置、使用統計和帳單信息。
• 靈活的定價計劃：Oxylabs 提供多種定價計劃，以滿足不同需求，無論是小型項目還是大規模數據爬取操作。
• 24/7 客戶支持：用戶可以隨時獲得支持，以協助解決任何問題或查詢。

如何使用 Oxylabs MCP

1. 註冊：在 Oxylabs 網站上創建一個帳戶，以獲得 MCP 服務的訪問權限。
2. 選擇計劃：選擇適合您數據爬取需求的定價計劃。
3. 配置您的代理：使用儀表板設置您的代理配置，包括選擇所需的代理類型（住宅或數據中心）。
4. 與您的應用集成：利用提供的 API 或集成工具將 Oxylabs MCP 與您的網絡爬蟲應用連接。
5. 開始爬取：開始您的數據收集過程，並通過儀表板監控使用情況和性能。

常見問題解答

問：Oxylabs MCP 提供哪些類型的代理？

答：Oxylabs MCP 提供住宅和數據中心代理，使用戶可以根據其特定的爬取需求進行選擇。

問：我可以爬取多少數據？

答：限制取決於您選擇的定價計劃。每個計劃都有自己的數據配額，因此選擇與您的爬取需求相符的計劃至關重要。

問：我可以將 Oxylabs MCP 用於 SEO 目的嗎？

答：可以，許多用戶利用 Oxylabs MCP 進行 SEO 任務，例如排名跟踪、競爭對手分析和市場研究，因為它能夠訪問本地化數據。

問：如果我的 IP 被封鎖怎麼辦？

答：Oxylabs MCP 設計旨在通過其旋轉代理功能最小化 IP 被封鎖的風險，該功能會在設置的時間間隔或每次請求後自動更改您的 IP 地址。

問：我如何聯繫客戶支持？

答：您可以通過他們網站上的聯繫表單或儀表板中提供的即時聊天功能聯繫 Oxylabs 客戶支持。

<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">

<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, 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

<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 etc.

</details> <details> <summary><strong> Bypass blocks & geo-restrictions</strong></summary> <br>

• 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

</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>

🛠️ MCP Tools

Oxylabs MCP provides the following tools:

1. universal_scraper: Uses Oxylabs Web Scraper API for general website scraping.
2. google_search_scraper: Uses Oxylabs Web Scraper API to extract results from Google Search.
3. amazon_search_scraper: Uses Oxylabs Web Scraper API to scrape Amazon search result pages.
4. 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

<details> <summary><strong><code>smithery</code></strong></summary>

1. Go to https://smithery.ai/server/@oxylabs/oxylabs-mcp
2. Login with GitHub
3. Find the Install section
4. 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 <smithery_key>

</details> <details> <summary><strong><code>uvx</code></strong></summary>

1. 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"

2. Use the following config

{
  "mcpServers": {
    "oxylabs": {
      "command": "uvx",
      "args": ["oxylabs-mcp"],
      "env": {
        "OXYLABS_USERNAME": "OXYLABS_USERNAME",
        "OXYLABS_PASSWORD": "OXYLABS_PASSWORD"
      }
    }
  }
}

</details> <details> <summary><strong><code>uv</code></strong></summary>

1. 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"

2. Use the following config

{
  "mcpServers": {
    "oxylabs": {
      "command": "uv",
      "args": [
        "--directory",
        "/<Absolute-path-to-folder>/oxylabs-mcp",
        "run",
        "oxylabs-mcp"
      ],
      "env": {
        "OXYLABS_USERNAME": "OXYLABS_USERNAME",
        "OXYLABS_PASSWORD": "OXYLABS_PASSWORD"
      }
    }
  }
}

</details>

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.

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