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Capture website screenshots, record web page videos, and check recording status.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "WebsiteScreenshot.online MCP Server" yet — see the docs or source repo.
Please capture a screenshot of https://example.com to review the above-the-fold page appearance.
A screenshot of the webpage for reviewing its visual presentation.
Please record a video of https://example.com showing the page loading and browsing flow.
A recording result or video file showing the webpage behavior.
Please check the status of the webpage video recording task and tell me whether it is complete.
The current status of the video recording task, such as in progress or completed.
Developers or product managers can have AI capture webpage screenshots to quickly verify whether a page appears as expected. This is useful for UI review or review materials.
Designers or product teams can record webpage videos to show loading behavior or browsing flow. It is useful for demos, retrospectives, or sharing page behavior.
When webpage video recording is not completed instantly, users can check the recording status to confirm completion. This helps in automation flows that need to wait for results.
It enables AI assistants to capture website screenshots, record webpage videos, and check video recording status. It is suited for webpage visual capture tasks.
Based on the provided description, it supports three tool actions: taking screenshots, recording videos, and checking video status. For specific parameters and limits, see the source repository.
The provided material does not include installation steps, runtime requirements, or key information. See the source repository for prerequisites.
Capture public webpage screenshots with metadata for previewing, testing, and archiving.
Capture app or webpage screenshots and analyze them with a local vision model.
Lets AI capture localhost screenshots to verify UI changes visually.
Capture screen frames on demand for multimodal Q&A and interface understanding.
Capture webpages and render HTML directly for AI-driven testing and analysis.
Capture webpage screenshots and DOM data for testing, analysis, and extraction.