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Oxylabs Oxylabs Mcp

  • 101 repo stars
  • Updated June 8, 2026
  • oxylabs/oxylabs-mcp

ai.smithery/oxylabs-oxylabs-mcp is an MCP server that fetches and processes webpage content from URLs using the Oxylabs Web Scraper API inside your agent workflow.

About

ai.smithery/oxylabs-oxylabs-mcp connects your AI coding agent to Oxylabs’ Web Scraper API through a Smithery-managed Model Context Protocol remote, so you can pull structured or cleaned content from arbitrary URLs without leaving Claude Code, Cursor, or Codex. developers use it during the Idea phase when they need primary sources: competitor pricing pages, documentation, blog posts, or SERP landing URLs that block simple fetch scripts. The MCP layer wraps provider calls into tools the model can schedule while you scope a product or draft validation notes. You still need valid Oxylabs API access according to your account; Smithery adds its own Bearer token for the hosted bridge. Compared with a generic HTTP skill, this is a paid, production-grade scraping path with parsing handled server-side—better when bot protection or rendering complexity breaks curl. Pair it with lighter research MCPs when you only need search snippets, and reach for Web Scout-style extractors when you do not already pay for Oxylabs.

  • Fetches and processes content from specified URLs via Oxylabs Web Scraper API
  • Smithery-hosted streamable-http remote (catalog version 1.13.1)
  • Open-source lineage: github.com/oxylabs/oxylabs-mcp
  • Bearer smithery_api_key required on Smithery relay plus Oxylabs API credentials on the provider side
  • Agent-callable alternative to manual copy-paste during competitor and landing-page reviews

Oxylabs Oxylabs Mcp by the numbers

  • Data as of Jul 24, 2026 (Skillselion catalog sync)
terminal
claude mcp add --transport http oxylabs-oxylabs-mcp https://server.smithery.ai/@oxylabs/oxylabs-mcp/mcp --header "Authorization: Bearer YOUR_TOKEN"

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Last updatedJune 8, 2026
Repositoryoxylabs/oxylabs-mcp

What it does

Let your coding agent fetch and process live webpage content through Oxylabs Web Scraper API while you research markets, competitors, or sources.

Who is it for?

Best when you already use or plan Oxylabs Web Scraper API and want agent-native URL retrieval during idea and competitor research.

Skip if: Hobby tests without an Oxylabs subscription, or teams that only need free search snippets without paid scrape quotas.

What you get

Your agent can request URL content through Oxylabs-backed tools so research notes and comparisons cite live pages instead of stale copy-paste.

  • Processed content from agent-specified URLs via Oxylabs-backed tools
  • Research-ready text for competitor and audience analysis prompts
  • Repeatable URL fetch pattern inside the Idea-phase workflow

By the numbers

  • Catalog metadata version 1.13.1
  • Repository source github.com/oxylabs/oxylabs-mcp
  • Smithery streamable-http remote with required secret Bearer header
README.md

Oxylabs + MCP

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.

🛠️ MCP Tools

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

Oxylabs Web Scraper API 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.

Oxylabs AI Studio Tools

  1. ai_scraper: Scrape content from any URL in JSON or Markdown format with AI-powered data extraction;
  2. ai_crawler: Based on a prompt, crawls a website and collects data in Markdown or JSON format across multiple pages;
  3. ai_browser_agent: Based on prompt, controls a browser and returns data in Markdown, JSON, HTML, or screenshot formats;
  4. ai_search: Search the web for URLs and their contents with AI-powered content extraction.

✅ 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).

📦 Configuration

Environment variables

Oxylabs MCP server supports the following environment variables:

Name Description Default
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

Based on provided credentials, the server will automatically expose the corresponding tools:

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

❗❗❗ Important note: if you don't have Web Scraper API or Oxylabs AI studio credentials, delete the corresponding environment variables placeholders. Leaving placeholder values will result in exposed tools that do not work.

Configure with uvx

  • Install the uvx package manager:
    # macOS and Linux
    curl -LsSf https://astral.sh/uv/install.sh | sh
    
    OR:
    # Windows
    powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
    
  • Use the following config:
    {
      "mcpServers": {
        "oxylabs": {
          "command": "uvx",
          "args": ["oxylabs-mcp"],
          "env": {
            "OXYLABS_USERNAME": "OXYLABS_USERNAME",
            "OXYLABS_PASSWORD": "OXYLABS_PASSWORD",
            "OXYLABS_AI_STUDIO_API_KEY": "OXYLABS_AI_STUDIO_API_KEY"
          }
        }
      }
    }
    

Configure with uv

  • Install the uv package manager:

    # macOS and Linux
    curl -LsSf https://astral.sh/uv/install.sh | sh
    

    OR:

    # Windows
    powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
    
  • 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",
            "OXYLABS_AI_STUDIO_API_KEY": "OXYLABS_AI_STUDIO_API_KEY"
          }
        }
      }
    }
    

Configure with Smithery Oauth2

  {
    "mcpServers": {
      "oxylabs": {
        "url": "https://server.smithery.ai/@oxylabs/oxylabs-mcp/mcp"
      }
    }
  }
  • Follow the instructions to authenticate Oxylabs MCP with Oauth2 flow

Configure with Smithery query parameters

In case your client does not support the Oauth2 authentication, you can pass the Oxylabs authentication parameters directly in url

  {
    "mcpServers": {
      "oxylabs": {
        "url": "https://server.smithery.ai/@oxylabs/oxylabs-mcp/mcp?oxylabsUsername=OXYLABS_USERNAME&oxylabsPassword=OXYLABS_PASSWORD&oxylabsAiStudioApiKey=OXYLABS_AI_STUDIO_API_KEY"
      }
    }
  }

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.

📝 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.

image

Made with ☕ by Oxylabs. Feel free to give us a ⭐ if MCP saved you a weekend.

✨ 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.
MCP (Multi‑Client Proxy) makes that happen by doing the boring parts for you:

What Oxylabs MCP does Why it matters to you
Manage automated requests walls with the Oxylabs global proxy network Enables website access and anonymity
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

mcp-name: io.oxylabs/oxylabs-mcp

Recommended MCP Servers

How it compares

Paid Oxylabs Web Scraper MCP bridge, not a token-light Supabase or demo greeting server.

FAQ

Who is ai.smithery/oxylabs-oxylabs-mcp for?

Developers and small teams that run Claude Code, Cursor, or Codex for research workflows and rely on Oxylabs for reliable webpage extraction.

When should I use ai.smithery/oxylabs-oxylabs-mcp?

Use it when validating an idea or mapping competitors and you need full page content from specific URLs that resist simple HTTP clients.

How do I add ai.smithery/oxylabs-oxylabs-mcp to my agent?

Add the Smithery remote https://server.smithery.ai/@oxylabs/oxylabs-mcp/mcp with streamable-http, configure Bearer smithery_api_key, and ensure your Oxylabs Web Scraper API credentials are available to the server per Smithery and Oxylabs setup docs.

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