# DragonEye

> Use this tool when you need to create custom object detection and classification models without requiring machine learning expertise or training data. DragonEye solves problems in safety monitoring, quality control, and other use cases by enabling rapid development of vision recognition models using plain English descriptions as input. It provides a programmatic interface for AI agents to connect and manage models, allowing for seamless integration and deployment.

Canonical page: https://skillsregistry.net/skills/dragoneye  
JSON: https://api.skillsregistry.net/v1/skills/dragoneye

## Description

DragonEye is a vision AI platform that enables developers to create custom object detection and classification models without training data or machine learning expertise. Users define detection targets using plain English descriptions, and the platform builds and deploys models within seconds. The MCP server connects AI agents to DragonEye's model studio for programmatic creation and management of vision recognition models across use cases like safety monitoring and quality control.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/dragoneye)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "dragoneye"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dragoneye` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dragoneye/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt