Model Context Protocol (MCP)

The Model Context Protocol (MCP) integration with Oxylabs' Web Scraper API enables the delivery of structured, AI-ready data optimized for large language model (LLM) workflows.

MCP ensures that context, metadata, and instructions are correctly formatted, allowing LLMs, such as Anthropic’s Claude to interpret and utilize the data effectively.

Visit the Oxylabs GitHub repository for a complete working example of MCP integration with the Web Scraper API.

Setup with Claude Desktop

Before you start, make sure you have Claude Desktop installed.

Using Smithery.ai

Install Node.js and the npm command line interface. If you already have them installed, run the following command to update npm to the latest version:

npm install -g npm

To install Oxylabs MCP server for Claude Desktop automatically via Smithery, run this command:

npx -y @smithery/cli install @oxylabs/oxylabs-mcp --client claude

During the installation process, you’ll be prompted to enter your API user username and password. Enter these credentials when requested.

Once the installation is complete, open Claude Desktop and configure the scraper to start using MCP-enhanced outputs.

Using UV

Install uv, as an alternative to npm. Refer to the Model Context Protocol Quickstart Guide to understand the configuration process.

To integrate the MCP server with Claude Desktop, update the claude_desktop_config.json file as follows:

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

Replace your_username and your_password with your API user username and password.

Save the changes to the configuration file and restart Claude Desktop to ensure the updated settings take effect.