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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.
Adds image analysis, OCR, and comparison tools to DeepSeek via MCP.
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.
Describe images, extract text, and run custom vision prompts on local files.
Analyze images with multiple vision backends and answer image-related questions.