Get practical guidance for using browser automation tools effectively. Learn step-by-step techniques to control browsers, navigate websites, interact with elements, and manage web tasks through natural language commands.
Analyze and debug browser network requests by inspecting HTTP errors (4xx/5xx), payloads, and request sequences. Filter by URL, specify details like headers and timestamps, and troubleshoot issues missed by console tools.
This application is a powerful browser monitoring and interaction tool that enables AI-powered applications via Anthropic's Model Context Protocol (MCP) to capture and analyze browser data through a Chrome extension.
Enables AI tools to interact with browsers for enhanced frontend development, providing context to LLMs through tools like API call analysis, screenshots, element selection, and documentation ingestion.