This MCP server implementation provides a bridge to Florence-2, a powerful image processing model. Developed by Junpei Kawamoto, it enables AI assistants to perform advanced image analysis and manipulation tasks. The server utilizes PyTorch and Hugging Face's Transformers library to leverage Florence-2's capabilities. It's designed for seamless integration into existing AI workflows, making it particularly useful for applications requiring sophisticated image understanding, such as visual question answering, image captioning, or content-based image retrieval. The implementation focuses on efficient processing and easy deployment, with support for various Python environments and package management systems.
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Highlight AIProcess an image file or URL using OCR to extract text. Arguments: src (string) - A file path or URL to the image file that needs to be processed.
Processes an image file and generates captions for the image. Arguments: src (string) - A file path or URL to the image file that needs to be processed.
