AI Dragoneye MCP Server
The ai.dragoneye/mcp Model Context Protocol (MCP) server supports building zero-shot video models focused on object detection, along with category and attribute classification. It is described for workflows where video content is processed to identify objects and classify them by category and attributes without task-specific training.
🛠️ Key Features
- Zero-shot video model building
- Object detection
- Category classification
- Attribute classification
🚀 Use Cases
- Detect objects in video using zero-shot approaches
- Classify detected entities into categories
- Predict object/category attributes from video
⚡ Developer Benefits
- Fits MCP-based integration patterns for model-context tooling
- Targets video understanding tasks across detection and classification
⚠️ Limitations
- Server description does not specify supported tools, endpoints, input/output formats, or deployment constraints