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Enable AI to understand images with vision analysis, detection, and color extraction.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-see" yet — see the docs or source repo.
Analyze this product UI screenshot, identify the main sections, buttons, text areas, and visual hierarchy, then summarize the layout and dominant colors.
A structured description of the UI, key element list, hierarchy, and color overview.
Identify the main objects in this image, list them by category, and describe their approximate positions, counts, and relationships.
Object detection results including categories, position descriptions, counts, and relationship notes.
Analyze the dominant, secondary, and background colors in this image, extract a usable color palette, and describe the overall visual style.
Extracted colors, recommended palette combinations, and a visual style summary.
Detect and analyze objects in images with zero-shot vision models.
Add image understanding to AI coding assistants for screenshot-based development analysis.
Analyze images through one MCP tool using any OpenAI-compatible endpoint.
Extract image color, texture, and shape features for precise comparison and quality assessment.
Analyze videos with frame extraction, scene detection, and metadata retrieval.
Analyze images with multiple vision backends and answer image-related questions.