# 3DStreet

> Use this tool when you need to programmatically create and manipulate 3D street and urban scenes, solving problems such as generating realistic environments for simulations or visualizations. It takes inputs from Claude Desktop or Claude Code via MCP tool calls and outputs customizable 3D scenes. Ideal for use cases requiring dynamic 3D scene editing, such as urban planning or autonomous vehicle simulations.

Canonical page: https://skillsregistry.net/skills/3dstreet  
JSON: https://api.skillsregistry.net/v1/skills/3dstreet

## Description

3DStreet is a web-based 3D scene editor that enables AI clients to drive open scenes from Claude Desktop or Claude Code via MCP tool calls. It allows programmatic creation and manipulation of 3D street and urban scenes.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/3dstreet)
- **Repository:** <https://github.com/3dstreet/3dstreet-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": "3dstreet"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/3dstreet` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/3dstreet/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