BrowserCat

Enables LLMs to interact with web pages through cloud-based browser automation for navigation, screenshot capture, element interaction, and JavaScript execution without local browser installation.

BrowserCat MCP Server provides cloud-based browser automation capabilities through the Model Context Protocol, enabling LLMs to interact with web pages without local browser installation. Developed by BrowserCat, it offers tools for navigation, screenshot capture, element interaction (clicking, hovering, form filling), and JavaScript execution in a real browser environment. The server connects to BrowserCat's cloud browser service via WebSocket, authenticates with an API key, and exposes both console logs and screenshots as resources. This implementation is particularly valuable for AI assistants that need to perform web-based tasks like data extraction, form submission, or visual analysis of websites.