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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 images with AI for OCR, scene description, detection, and comparison.
Let AI analyze images, OCR text, and charts with vision APIs.
Adds computer vision to coding agents without native image input support.
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.