# 3D-MCP

> Use this tool when you need to integrate Large Language Models (LLMs) with 3D creative software, providing a standardized interface for seamless interaction with various Digital Content Creation tools. The 3D-MCP tool solves problems of compatibility and fragmentation, enabling unified access to diverse 3D software through a single API. It accepts LLM inputs and outputs standardized 3D model context data, ideal for use cases requiring automated 3D content generation, editing, or manipulation.

Canonical page: https://skillsregistry.net/skills/team-plask-3d-mcp  
JSON: https://api.skillsregistry.net/v1/skills/team-plask-3d-mcp

## Description

A universal Model Context Protocol implementation that serves as a semantic layer between LLMs and 3D creative software, providing a standardized interface for interacting with various Digital Content Creation tools through a unified API.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q8f72q5q5q)
- **Repository:** <https://github.com/team-plask/3d-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": "team-plask-3d-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/team-plask-3d-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/team-plask-3d-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