mcp-vision
If you are the rightful owner of mcp-vision and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
mcp-vision is a Model Context Protocol (MCP) server that enhances the vision capabilities of large language or vision-language models by exposing HuggingFace computer vision models as tools.
mcp-vision is a cutting-edge server designed to integrate advanced computer vision models into language models, thereby expanding their capabilities. By leveraging HuggingFace's zero-shot object detection pipelines, mcp-vision allows for sophisticated image analysis and object detection. This server is particularly useful for applications that require detailed image understanding, such as identifying objects within images or zooming into specific areas for closer inspection. The server is actively developed and can be configured to run on both CPU and GPU environments, making it versatile for various hardware setups. It is also designed to work seamlessly with Claude Desktop, a platform for running language models, by configuring it as an MCP server. This integration allows users to perform complex image analysis tasks directly within their language model workflows, enhancing the overall utility and functionality of the models.
Features
- Integration with HuggingFace models for advanced object detection.
- Supports both CPU and GPU environments for flexible deployment.
- Seamless configuration with Claude Desktop for enhanced language model capabilities.
- Active development with ongoing improvements and tool additions.
- Ability to zoom into specific objects within images for detailed analysis.
Tools
locate_objects
Detect and locate objects in an image using zero-shot object detection pipelines.
zoom_to_object
Zoom into an object in the image, allowing for closer analysis by cropping to the object's bounding box.