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…
oxylabs-mcp is an MCP project maintained in the oxylabs/oxylabs-mcp repository. The maintainer describes its purpose as “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…”. Read the project documentation for the complete scope.
The maintainer’s configuration uses https://mcp.oxylabs.io/mcp. Check the project’s account and authentication instructions when adding the endpoint to your client.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
{
"mcpServers": {
"oxylabs": {
"url": "https://mcp.oxylabs.io/mcp",
"headers": {
"Authorization": "YOUR_AUTHORIZATION",
"X-Oxylabs-AI-Studio-Api-Key": "YOUR_X_OXYLABS_AI_STUDIO_API_KEY"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
Retrieve public web pages as readable Markdown with the reference Fetch MCP server, including pagination for longer responses.
Use Firecrawl MCP to retrieve website content and extract information for research through Firecrawl’s API-backed web tools.
A MCP server in development for Google Scholar
Micro-settled web content extraction and JSON schema validation utilities for AI agents via XRPL.
Provides a Python interface to the Perplexity API for querying responses and managing conversations.
LLM-ready web search + instant answers + URL-to-clean-text fetch for agents and RAG.