Oxylabs MCP Server

If you want an AI assistant working directly with Oxylabs, the oxylabs mcp server is the bridge. Scrape websites with Oxylabs Web API, supporting dynamic rendering and parsing for structured data extraction.

What Oxylabs does

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.

Installing the oxylabs mcp server

The server is distributed via PyPI as package, so most clients can run it without a manual build step. Add it to your MCP client's configuration and restart the client to pick it up — the copy-paste configs for Claude Desktop, Claude Code and Cursor are on this page.

Configuration

Before the server will start you need to supply 3 environment variables: OXYLABS_USERNAME, OXYLABS_PASSWORD, OXYLABS_AI_STUDIO_API_KEY. Keep credentials in your client's env block or a secrets manager rather than committing them.

Where it fits

Developer-tool servers are usually the first ones people connect, because they turn "help me with this code" into an assistant that can actually read the repo and act on it. Oxylabs sits in that group. Worth comparing against the other developer tools servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.

Practical notes

• This server runs locally, so it operates with whatever access your machine and its credentials already have. Scope that deliberately rather than by default.
• It will not start until its required credentials are present, so set those before wondering why the tools never appear.
• Written in Go.
• MCP clients ask for confirmation before each tool call by default. Keep that on while you learn what the oxylabs mcp server actually does with your data.
• Every entry in this directory is reviewed by hand before it goes live, and details are checked against the project's own documentation.