What is the DINO-X MCP server?

An MCP server that enables AI agents to perform advanced computer vision tasks, including object detection and keypoint identification. It connects agents to visual understanding capabilities powered by the DINO-X model.

DINO-X

Productivity MCP server Source ↗

Server spec

Install: See source repository
Transport: stdio
Auth: Not publicly specified
Language: Not publicly specified
Tools exposed: 5
Official: Community

DINO-X is an MCP server designed to provide AI agents with advanced computer vision capabilities. It leverages the DINO-X model to detect objects, identify keypoints, and analyze images, making it useful for tasks that require visual understanding. In the MCP ecosystem, it serves as a bridge between AI agents and visual data, enabling them to perform complex image-based operations. Developers and organizations looking to automate image analysis or integrate vision-based decision-making into their workflows would find DINO-X particularly valuable. The server is community-maintained, with its source available for customization and further development.

Tools exposed

detect_objectsidentify_keypointsanalyze_imageextract_featuresclassify_objects

Resources

images

Requirements

Python (if applicable)
Computer vision libraries or dependencies
Access to a GPU (if required for performance)

Use cases

Identifying objects in a warehouse for inventory managementDetecting keypoints in medical images for patient analysisAnalyzing street images for urban planning