How do I use Model Context Protocol (MCP) with Web Scraper API?

When using Web Scraper API, you have two options:

Continue using the API as before (no changes required).
Opt-in for MCP functionality with simple configuration updates.

For Claude Desktop, you can configure through Smithery.ai or UV.

NOTE: The integration is designed for backward compatibility, ensuring existing data pipelines remain functional while new MCP features are enabled.

🧠 See our documentation and GitHub for specific steps to enable MCP for your projects.

🙌 Need assistance? Contact support via live chat or send a message to [email protected].

🎯 Want a custom solution or a free trial? Contact sales by booking a call. For any questions, such as custom pricing, advice, or a free trial, drop us a line at [email protected].

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Getting started: Web Scraper API

Do you deliver data in an LLM-optimized format?

What is Model Context Protocol (MCP), and how does it benefit Web Scraper API usage?

How does Model Context Protocol (MCP) standardize data for LLMs?

Do I have to manually format scraped data for AI workflows?