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.
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.
Access documentation for browser automation tools including usage examples, return values, and important considerations to implement browser control actions correctly.
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.
Bridges browser content, developer tools data, and web page interactions with Claude through MCP. Enables page inspection, DOM analysis, JavaScript execution, console monitoring, network activity tracking, and screenshot capture across multiple browser tabs.