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Recognize and analyze images with DeepSeek vision for automated workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "deepseek-vision-mcp" yet — see the docs or source repo.
Use recognize_image to analyze this screenshot, extract the title, button text, error messages, and main UI elements, then organize them into a structured list.
A structured recognition result listing the main text and UI elements in the screenshot.
Use recognize_image to identify this product image and describe the product type, color, material, setting, and possible selling points for e-commerce asset organization.
A detailed description of the product image plus tags useful for cataloging and organization.
Call recognize_image to analyze this chart, identify the chart type, main trends, key value regions, and any obvious outliers.
A chart summary that helps the user quickly understand the key visual data insights.
Enable vision-less LLMs to understand screenshots and images through a vision proxy.
Recognize and analyze images through OpenAI-compatible vision APIs across multiple platforms.
Automate DeepSeek for chat, code review, summarization, and debugging assistance.
Analyze images with multiple vision backends and answer image-related questions.
Give text-only LLMs vision support for analyzing local or online images.
Enable any LLM to describe images from paths, URLs, or base64.