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Detect and analyze objects in images with zero-shot vision models.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-vision" yet — see the docs or source repo.
Use mcp-vision to analyze this product image with zero-shot object detection. Focus on identifying: phone, charger, earbuds, and box, and return each object's location and confidence score.
A list of detected objects with labels, bounding box locations, and confidence scores.
Use mcp-vision to detect the main objects in this office photo, such as computers, monitors, desks, chairs, and a whiteboard, then summarize the scene.
Detected main objects in the scene along with a brief summary of the image content.
Use mcp-vision to determine whether this image contains a safety helmet, reflective vest, and construction sign. If found, mark their locations and explain the detection results.
A determination of whether the target elements are present, plus their locations and detection notes.
Analyze screenshots, text, and UI mockups through one vision MCP tool.
Analyze images with AI for OCR, scene description, detection, and comparison.
Analyze images through one MCP server across multiple vision providers.
Turn screenshots and images into code, text, and diagnostic insights.
Add image understanding to AI coding assistants for screenshot-based development analysis.
Analyze images through MCP clients and get text answers from vision models.