# dcc-mcp-marmoset

> dcc-mcp-marmoset — dcc-mcp-dcc-mcp-marmoset. Use this tool when you need to control Marmoset Toolbag scenes programmatically, enabling automation and scripting of scene interactions via a shared command-line interface (CLI) and MCP gateway, which solves problems of manual scene management and allows for seamless integration with shell-capable agents. It accepts CLI commands as input and outputs scene data, making it ideal for automating workflows and streamlining scene management tasks. This tool is particularly useful in contexts where automated scene rendering, lighting, or animation is required.

Canonical page: https://skillsregistry.net/skills/dcc-mcp-dcc-mcp-marmoset  
JSON: https://api.skillsregistry.net/v1/skills/dcc-mcp-dcc-mcp-marmoset

## Description

Typed DCC-MCP control for Marmoset Toolbag 4.03+ and 5.x, enabling shell-capable agents to interact with Toolbag scenes via a shared CLI and MCP gateway.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vsr6qrbjns)
- **Repository:** <https://github.com/dcc-mcp/dcc-mcp-marmoset>

## 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": "dcc-mcp-dcc-mcp-marmoset"
    }
  }
}
```

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