# Cloudinary Structured Metadata

> Use this tool when you need to organize and manage large media libraries with consistent and searchable metadata. It solves problems of data inconsistency and discoverability by providing a structured metadata schema with customizable fields and conditional rules. With inputs such as metadata field definitions and API credentials, and outputs including queried metadata configurations, it enables efficient media library management through its hosted or local interface.

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

## Description

Cloudinary Structured Metadata provides tools for defining and managing structured metadata schemas in Cloudinary. The server exposes capabilities for creating metadata fields with various types (string, integer, enum, date, set), managing allowed values for enum and set fields, configuring conditional metadata rules that enforce data dependencies between fields, and querying existing metadata configurations. Useful for organizing large media libraries with consistent, searchable metadata. Available as both a hosted remote endpoint with OAuth or API key authentication and a local npm package.

## 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:** [PulseMCP](https://www.pulsemcp.com/servers/cloudinary-structured-metadata)

## 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-structured-metadata"
    }
  }
}
```

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