What is Dragoneye?
Dragoneye is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to build zero-shot video models for object detection, and category and attribute classification.
Build zero-shot video models for object detection, and category and attribute classification.
This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Build zero-shot video models for object detection, and categ
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx ai-dragoneye-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Dragoneye
What is Dragoneye?
Dragoneye is a Model Context Protocol (MCP) server that build zero-shot video models for object detection, and category and attribute classification. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Dragoneye?
Follow the installation instructions on the Dragoneye GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Dragoneye?
Dragoneye works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Dragoneye free to use?
Yes, Dragoneye is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Data Science & ML MCP Servers
Explore all data science & ml servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Dragoneye in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use Dragoneye?
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