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Capture app or webpage screenshots and analyze them with a local vision model.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "screenshot-vision-mcp" yet — see the docs or source repo.
Open the target webpage, capture a screenshot, and use the local vision model to analyze layout, button states, error messages, and obvious styling issues. Return a list of findings and troubleshooting suggestions.
A webpage inspection report with detected issues, affected areas, and fix recommendations.
Capture the current desktop app window, analyze whether key action entry points are visible, and determine which steps are still needed for the user to complete the current task. List them in order.
A workflow usability analysis describing the current UI state, missing steps, and recommended actions.
Capture screenshots of multiple pages in sequence, use the local vision model to detect obvious UI changes, and compile an inspection summary highlighting suspicious pages.
A UI inspection summary with changed pages, anomaly notes, and priority investigation items.
Capture screen frames on demand for multimodal Q&A and interface understanding.
Analyze screenshots, run OCR, and monitor vision workflows with local Ollama models.
Capture screens and webpages, then compare images for visual regression testing.
Let AI agents discover macOS windows and capture screenshots for UI debugging.
Enable vision-less LLMs to understand screenshots and images through a vision proxy.
Let AI capture Windows screenshots for troubleshooting, review, and visual context.