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Analyze webpages accurately by combining DOM structure with visual context.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "web-perception-mcp" yet — see the docs or source repo.
Analyze this webpage, extract the main DOM structure, key component hierarchy, and the relationships between the navbar, forms, and content areas, then identify which elements are best suited for automation.
A summary of the page structure, component hierarchy, and a list of key elements suitable for scripting.
Using the current page's DOM and visual layout, find stable selectors for the login button, search box, and submit form, and explain the rationale and potential risks.
Recommended stable element selectors with reliability notes and fallback options.
Read and analyze this webpage by combining DOM structure and visual content, then determine the page's primary purpose, core interaction flow, and the tasks users are most likely to perform.
A description of the page purpose, a summary of the main user flow, and contextual information useful for AI agent decisions.
Analyze webpage structure and extract layout, navigation, and content details.
Extract, analyze, and clone front-end code with browser automation.
Control webpages through AI for navigation, clicks, screenshots, and content reading.
Search the web, fetch pages, and extract structured information efficiently.
Control a browser with AI for automation, extraction, interception, and screenshots.
Automate browser tasks, capture console logs, and take screenshots for web workflows.