# cheesy-mcp

> cheesy-mcp — jlooper-cheesy-mcp. Use this tool when you need to leverage Cloudinary's Media Creation Platform (MCP) servers for cursor-related tasks, solving issues with image and video processing, and streamlining media workflows. It accepts git-based inputs and provides optimized media outputs, ideal for use cases involving real-time media manipulation. Utilize cheesy-mcp in contexts where efficient media processing and delivery are crucial.

Canonical page: https://skillsregistry.net/skills/jlooper-cheesy-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jlooper-cheesy-mcp

## Description

Leverage Cloudinary's MCP Servers for Cursor

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/jlooper/cheesy-mcp)

## 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": "jlooper-cheesy-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jlooper-cheesy-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jlooper-cheesy-mcp/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