# Cloudinary Analysis

> Use this tool when you need to analyze media files such as images and videos to automate tasks like tagging, content moderation, and object detection. It solves problems related to media management, content safety, and visual search, providing outputs like tagged media, safety checks, and detected objects. The tool accepts media files as input and requires OAuth authentication or an API key for access.

Canonical page: https://skillsregistry.net/skills/cloudinary-analysis  
JSON: https://api.skillsregistry.net/v1/skills/cloudinary-analysis

## Description

Cloudinary Analysis provides AI-powered media analysis tools through the Cloudinary platform. The server exposes capabilities for automatic image and video tagging using add-ons like Google Auto Tagging and Imagga, content moderation and safety checks for detecting inappropriate or sensitive content, object detection and recognition for identifying elements within media, and visual search capabilities. Requires OAuth authentication for the remote endpoint. Available as both a hosted SSE endpoint and a local npm package with API key authentication.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-04-25

## Source

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

## 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": "cloudinary-analysis"
    }
  }
}
```

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

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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