# Cheesecube MCP Server

> Cheesecube MCP Server — dwellis-cheesecube-mcp. Use this tool when you need to integrate Cheesecube Agent API functionality into your workflow, enabling features like asset searching, template management, and cheese publishing. It solves problems related to content creation and management by providing a seamless interface for MCP clients like Claude Desktop and Cursor. The Cheesecube MCP Server takes in API requests and outputs managed content and templates, ideal for use cases involving collaborative content creation and publishing.

Canonical page: https://skillsregistry.net/skills/dwellis-cheesecube-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dwellis-cheesecube-mcp

## Description

Exposes the Cheesecube Agent API as MCP tools, enabling listing engines and templates, searching assets, and creating, previewing, and publishing cheese and templates. Designed for use with MCP clients like Claude Desktop and Cursor.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jq486eo2er)
- **Repository:** <https://github.com/dwellis/cheesecube-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": "dwellis-cheesecube-mcp"
    }
  }
}
```

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