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Recognize and analyze images through OpenAI-compatible vision APIs across multiple platforms.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "api-vision-mcp" yet — see the docs or source repo.
Use api-vision-mcp to analyze this product image, identify the brand, category, main colors, and packaging text, and return the result in JSON.
A structured image recognition result containing brand, category, colors, and visible text.
Use api-vision-mcp to analyze this app screenshot, list the buttons, input fields, and navigation areas, and point out possible usability issues.
A list of UI elements and a brief analysis of potential usability issues.
Using api-vision-mcp, design a workflow to batch-recognize dates, amounts, and merchant names from receipt images and output them in a standardized schema.
An automation-friendly recognition workflow and a standardized output schema.
Enable any LLM to describe images from paths, URLs, or base64.
Enable vision-less LLMs to understand screenshots and images through a vision proxy.
Generate text descriptions from images with fast fallback vision model support.
Enable non-vision AI clients to analyze images with local Ollama vision models.
Analyze local or remote images with vision LLMs and generate descriptions.
Analyze images through one MCP server across multiple vision providers.