# Cloudinary

> Use this tool when you need to efficiently manage and optimize media assets, such as images and videos, for web and mobile delivery. It solves problems related to media storage, transformation, and delivery, enabling on-the-fly edits and optimizations. With inputs of raw media files and outputs of transformed and optimized assets, Cloudinary streamlines media management workflows.

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

## Description

Upload, transform, and deliver images and videos. Manage media assets, apply on-the-fly transformations, and optimize delivery for web and mobile.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/cloudinary)

## 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"
    }
  }
}
```

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