Finally, Your AI Coding Assistant Can See What You See Online

Picture this: You're browsing the web, discovering great design patterns, clever CSS tricks, and elegant solutions. Later, while coding in Cursor, Windsurf, or Zed, you want to reference something you saw - but instead of switching tabs, taking screenshots, or copy-pasting code, you simply tell your AI assistant "Create a hero section like the one I saw on spotify.com yesterday." Your assistant immediately understands exactly what you mean, because it can access your browsing history through the Model Context Protocol (MCP).

This new tool transforms how developers work with AI coding assistants by automatically building a searchable archive of everything you see online. Your AI assistant can now truly understand your references, search through your browsing history, and help you implement solutions based on websites you've visited.

"The gap between discovering solutions online and implementing them in your code has always been frustrating," says Karl Marx, creator of the WebMemory MCP tool. "Now, your AI assistant is right there with you during your research, seeing what you see, understanding what caught your attention, and ready to help you implement similar solutions in your own projects."

Beyond just remembering pages you've seen, the tool enables entirely new workflows:

The magic happens through a Chrome extension that quietly archives pages as you browse, while an MCP server makes this knowledge accessible to AI-powered development environments. The entire system is SOC 2 compliant, with privacy-first design that keeps your browsing history under your control.

Key technical features:

The WebMemory MCP tool is available now for $11/month, with a 14-day free trial.

For early access, email me.

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