27/01/2026
Visual Understanding
This MCP server gives the agent the ability to "see" the world via a connected camera (over WebSocket) and analyzes images using various AI vision providers.
Features
Real-time "Eyes": Connects to the agent's camera feed, capturing images on demand.
Multi-Provider Support: Supports OpenAI, Zhipu (GLM-4V), Alibaba (Qwen-VL), and Gemini vision models.
Specialized Tools: Provides a suite of tools for different visual tasks.
Tools
capture_and_analyze General purpose tool that captures a photo and provides a detailed description of the scene. Best used as the primary way for the agent to "see".
provide_outfit_advice Analyzes outfit combinations and provides actionable advice on color coordination, style, materials, and accessories.
solve_problem Solves educational or logic problems visible in the image (math, puzzles, etc.). Returns structured data including problem type, solution steps, and final answer.
analyze_diet Identifies food items, estimates quantities, and categorizes them (e.g., meat, vegetables). Returns a JSON array suitable for diet tracking.
identify_plant Identifies plant species and provides health assessment and care recommendations (water, light, soil).
generate_social_media_post Generates creative social media content based on the image (captions in different styles, trending hashtags).
organize_space Analyzes a room or desk space and provides organization tips, decoration suggestions, and decluttering advice.
https://imcp.pro/docs/examples/visual-understanding