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Capture screenshots and analyze visual bugs with written debugging reports.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Vision-Graft MCP" yet — see the docs or source repo.
Use Vision-Graft MCP to capture a screenshot of the current page, analyze the button and form misalignment on mobile, and return an English report with issue locations, likely causes, and fix suggestions.
A report identifying misaligned areas, likely CSS or responsive issues, and recommended fixes.
Run a screenshot-based check on the latest deployment, analyze whether the navbar, card shadows, and font rendering have visual regressions, and return a prioritized issue list.
A severity-ranked visual regression report describing each issue and its impact scope.
I’m using a coding model that cannot see the UI. Use Vision-Graft MCP to capture and analyze this modal for overlap, color contrast, and spacing issues, then produce a written brief the coding model can use for further fixes.
A structured written brief that helps a non-visual coding model understand and fix the UI issues.
Capture app or webpage screenshots and analyze them with a local vision model.
Analyze screenshots, run OCR, and monitor vision workflows with local Ollama models.
Enable vision-less LLMs to understand screenshots and images through a vision proxy.
Let AI agents discover macOS windows and capture screenshots for UI debugging.
Capture screenshots and analyze screens, windows, and images with vision models.
Connect text-only models to vision APIs for image understanding and analysis.