# Cloudinary

> Use this tool when you need to seamlessly integrate image and video upload functionality into AI-assisted workflows, solving problems like dynamic content creation and management. It takes in file paths, URLs, or base64 data URIs as input and outputs uploaded media to Cloudinary, with customizable parameters like resource type and tags. Use Cloudinary for on-demand media uploads in applications, enabling efficient content management within its ecosystem.

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

## Description

This Cloudinary MCP server, developed by felores, enables seamless integration of Cloudinary's image and video upload functionality into AI-assisted workflows. Built with TypeScript and leveraging the @modelcontextprotocol/sdk, it provides a straightforward interface for uploading media to Cloudinary through Claude Desktop and compatible MCP clients. The implementation supports various upload options including file paths, URLs, and base64 data URIs, along with customizable parameters like resource type, public ID, and tags. It's particularly useful for AI assistants and developers looking to incorporate on-demand media uploads into their applications, allowing for dynamic content creation and management within Cloudinary's ecosystem.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **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/felores-cloudinary)
- **Repository:** <https://github.com/felores/cloudinary-mcp-server>

## 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": "felores-cloudinary"
    }
  }
}
```

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