$ loading_
Browse pages, inspect console/network logs, and crawl HTML documentation links.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "browser_mcp" yet — see the docs or source repo.
Open the target web page, take a screenshot, and read the console and network logs to help me locate the cause of the error.
A page screenshot, key error messages, failed request details, and initial debugging suggestions.
Starting from this HTML documentation homepage, crawl all navigation and subpage links and organize them into a hierarchical outline.
A list of documentation links, page hierarchy, and a structured outline for further reading.
Visit this page, inspect the main network requests, resource loading order, and failed items, then summarize performance or usability issues.
An overview of key requests, explanations of loading issues, and recommendations to improve page performance.
Control a real Chrome browser for browsing, interaction, and page reading.
Let AI browse via your real Chrome for extraction and multi-step workflows.
Control a browser with AI for automation, extraction, interception, and screenshots.
Automate browser tasks, capture console logs, and take screenshots for web workflows.
Capture screens and webpages, then compare images for visual regression testing.
Capture browser console logs and errors for AI-assisted debugging and development.