# Three.js DevTools

> Use this tool when you need to inspect and modify Three.js scenes in real time, solving problems such as debugging, optimization, and scene analysis. It provides 47 tools covering various aspects of Three.js, including objects, materials, and performance diagnostics, with input/output options via stdio and HTTP/SSE transport. Ideal for use with vanilla Three.js, React Three Fiber, or other frameworks, requiring no project modifications.

Canonical page: https://skillsregistry.net/skills/gh-dmitriygolub-threejs-devtools  
JSON: https://api.skillsregistry.net/v1/skills/gh-dmitriygolub-threejs-devtools

## Description

Provides 47 tools for inspecting and modifying Three.js scenes in real time, covering objects, materials, shaders, textures, animations, performance diagnostics, memory analysis, and code generation. Works with vanilla Three.js, React Three Fiber, and any framework without requiring project modifications. Available as both stdio and HTTP/SSE transport.

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-dmitriygolub-threejs-devtools)
- **Repository:** <https://github.com/dmitriygolub/threejs-devtools-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": "gh-dmitriygolub-threejs-devtools"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gh-dmitriygolub-threejs-devtools` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gh-dmitriygolub-threejs-devtools/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