mcp
VerifiedBuild zero-shot video models for detection and classification.
What is the mcp MCP server?
This server provides infrastructure for creating models that perform zero-shot inference on video streams. Developers can leverage it to detect objects and classify attributes without task-specific training data.
It operates over streamable-http connections, enabling remote access for video processing pipelines in development environments.
Install & connect
Add this to your MCP client config. Pick your client below and copy.
{
"mcpServers": {
"mcp": {
"url": "https://nexus.api.dragoneye.ai/mcp"
}
}
}Example prompts
Once connected, try asking your AI client:
Security & permissions
Requires streamable-http network access to a remote server; may process user-provided video data during inference.
What you can do with mcp
Object Detection in Videos
Detect and localize objects in unlabeled video footage using zero-shot techniques.
Category Classification
Assign semantic categories to video segments without predefined training examples.
Attribute Analysis
Identify visual attributes such as color, shape, or motion patterns in real-time video.
How to use mcp
- 1Install an MCP-compatible client that supports streamable-http transport.
- 2Configure the server endpoint URL in your client settings.
- 3Connect to the mcp server using the provided connection details.
- 4Send video data or model-building requests through your AI client.
- 5Review results for object detection and classification outputs.
mcp: pros & cons
Pros
- +Specialized for zero-shot video tasks without custom training
- +Streamable-http enables flexible remote integration
- +Supports multiple classification dimensions in one workflow
- +Fits naturally into dev-tools and AI media pipelines
Cons
- –No documented tools or parameters available in current description
- –Dependent on network stability for streamable-http connections
- –Limited to zero-shot scenarios; may require additional setup for production use
Frequently asked questions
It uses streamable-http for remote communication.
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