openusd-mcp
An MCP server that lets AI assistants read, inspect, and manipulate [OpenUSD](https://openusd.org) scenes.
Install / Use
claude mcp add daslabhq -- npx -y github:daslabhq/openusd-mcpIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of openusd-mcp
openusd-mcp scores 72/100 on our quality scale, 3863rd of 4,667 Development & Engineering skills we index.
Its MCP Server is 4.2 KB long, well organised into 14 sections with 6 code examples: a solid amount of guidance for an agent.
It has 10 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated about 5 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
- Our last check on 2026-09-29 found the source still online.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 95/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-28. Automated pattern scan on 2026-09-28. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
openusd-mcp compared with similar skills
All 4 of these similar skills score higher than openusd-mcp; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| openusd-mcp (this skill)by daslabhq | 72 | 10 | 5mo ago | MCP Server |
| Agent-Reachby Panniantong | 100 | 90.8k | 19d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 74.4k | today | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.2k | today | CLAUDE.md |
| ai-job-searchby MadsLorentzen | 100 | 45.0k | 1d ago | CLAUDE.md |
Frequently asked questions
- How do I install openusd-mcp?
- Run
claude mcp add daslabhq -- npx -y github:daslabhq/openusd-mcp. The install tabs above show the steps for each supported agent. - Which AI agents does openusd-mcp work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is openusd-mcp safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 95/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is openusd-mcp still maintained?
- The repository was last updated about 5 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
Skill content
View source on GitHubopenusd-mcp
An MCP server that lets AI assistants read, inspect, and manipulate OpenUSD scenes.
Live Demo — interactive 3D viewer with variant switching
pip install openusd-mcp
What it does
Connect this MCP server to Claude, ChatGPT, Cursor, or any MCP-compatible client. Your AI assistant can then work directly with .usda, .usdc, and .usdz files — inspecting scene graphs, querying properties, exporting meshes, and switching variants.
Tools
| Tool | Description |
|------|-------------|
| usd_inspect | Read the scene graph — list all prims, types, hierarchy |
| usd_get_prim | Get detailed properties, attributes, and metadata for a specific prim |
| usd_get_materials | List all materials and their shader parameters |
| usd_get_transforms | Get world-space transforms for prims |
| usd_list_variants | List all variant sets and their options |
| usd_set_variant | Switch a variant selection |
| usd_export_mesh | Export a mesh prim as STL or OBJ |
| usd_scene_stats | Get scene statistics — prim count, mesh count, material count, bounding box |
Quick start
With Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"openusd": {
"command": "openusd-mcp",
"args": []
}
}
}
Then try it with the included example scenes:
"Inspect the scene graph of examples/desk_setup.usda and describe what's on the desk."
"What color options does the product in examples/product_configurator.usda have? Switch it to gold."
With any MCP client
openusd-mcp --stdio
The server communicates over stdin/stdout using the MCP protocol.
Examples
The repo includes two example scenes that exercise all 8 tools.
Desk setup — scene inspection
A desk with a table, monitor, keyboard, and mug. 5 PBR materials (wood, metal, screen, ceramic, dark plastic), 10 meshes, real-world dimensions.
You: What's in examples/desk_setup.usda?
Claude: A desk scene with 25 prims, 10 meshes, 5 materials:
/Desk (Xform)
/Desk/Table/Top (Mesh) — Wood, 120×60×3 cm
/Desk/Table/Leg1..4 (Mesh) — Metal
/Desk/Monitor/Screen (Mesh) — dark glossy
/Desk/Monitor/Stand (Mesh) — Metal
/Desk/Monitor/Base (Mesh) — Metal
/Desk/Keyboard (Mesh) — DarkPlastic
/Desk/Mug/Body (Mesh) — Ceramic
Bounds: 1200 × 835 × 1250 mm
You: Export the tabletop as STL
Claude: Exported /Desk/Table/Top to tabletop.stl (12 triangles, 684 bytes)
Product configurator — variant switching
A device with 3 variant sets: size (small, medium, large), color (midnight, silver, gold, red), and finish (matte, satin, glossy).
You: What configuration options does examples/product_configurator.usda have?
Claude: The product at /Product has 3 variant sets:
size: small | medium* | large
color: midnight* | silver | gold | red
finish: matte | satin* | glossy
(* = currently selected)
You: Switch to gold, large, glossy
Claude: Done. Updated /Product:
size: large (1.4× scale)
color: gold — diffuseColor: (0.83, 0.69, 0.22), metallic: 0.9
finish: glossy — roughness: 0.1
Requirements
- Python 3.9+
usd-core(Pixar's USD Python bindings)
pip install usd-core
How it works
The server uses Pixar's official pxr Python bindings (the same libraries used by NVIDIA Omniverse, Apple's Reality Composer, and every major VFX pipeline) to read and manipulate USD stages. It exposes these capabilities as MCP tools that any AI assistant can call.
OpenUSD is the industry standard for describing 3D scenes, backed by Pixar, Apple, NVIDIA, Adobe, and Autodesk. As of December 2025, the Alliance for OpenUSD has ratified Core Specification 1.0.
Author
License
MIT
Links
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
