X
Xxx91n/mcp-for-maya
Maya MCP Server with spatial awareness, camera planning, aesthetic analysis, and scene auditing
SECURITY.md ✓
View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
Install & config
Client config (built from the install command this repo gives)
{
"mcpServers": {
"xxx91n-mcp-for-maya": {
"command": "uvx",
"args": ["without"]
}
}
}Parsed from the README we fetched on 2026-10-26; we have not executed it.
command/args come from the install command the repository states. When it is ambiguous, the project README wins.
VS Code (.vscode/mcp.json - the key is servers)
{
"servers": {
"xxx91n-mcp-for-maya": {
"command": "uvx",
"args": ["without"]
}
}
}Same server, but VS Code keeps it under <code>servers</code>.
Claude Code (command line)
claude mcp add --transport stdio xxx91n-mcp-for-maya -- uvx without
Claude Code does not read a config file; add the server with this command.
Key names differ by client: Clients & CLI
- Star count
- 6 ★ · Xxx91n/mcp-for-maya · read from the GitHub search API · (checked 2026-11-13 20:00:50)
- Source
- collected from the punkpeye/awesome-mcp-servers list · type: MCP server
- Harvest history
- first seen 2026-10-23 · last seen 2026-11-14 · seen 26× · listed by 23 sources
- Score
- score 2,300 · 6 ★ · 23 sources · mcp
- Install
uvx without
FAQ (answers come from our records)
How do I install it?
The repository provides this install command:
uvx without. It comes from the repository itself; we cannot guarantee it runs as-is in your client.Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository
Xxx91n/mcp-for-maya;first catalogued 2026-10-23;last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.English | 简体中文
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
# mcp-for-maya
> MCP server giving AI agents spatial awareness of Autodesk Maya scenes
## What Is This
mcp-for-maya is a Model Context Protocol (MCP) server that lets LLM agents (Codex, Claude, etc.) directly drive Autodesk Maya for 3D modeling, scene planning, and engineering-grade delivery.
Forked from chadrik/maya-mcp-server, it adds a scene-intelligence layer on top of the upstream connection stack: spatial awareness, deterministic auditing, transactional safety, and a visual loop.
Key capability: the agent stops "writing blind" — it can perceive spatial state, materials, and object relationships, then verify changes against engineering rules.
> [!WARNING]
> This server executes arbitrary Python inside Maya — that is a designed capability, not a bug. The built-in validation / rate-limit / audit pipeline is a safety net for accidents and injected instructions, not a boundary against a malicious client; the connected agent is trusted. See docs/threat-model.md.
Every asset below is a real capture produced by this project's own tool chain — no mockups: scenes were built procedurally through executecode / writemodule (plus one live assetimport), frames rendered through scenerenderpreview, the audit pair via scenereview + sceneviewportsnapshot, and the orbit sequence captured frame-by-frame with playblast (Maya 2024 GUI session).
| Prompt | Result |
| writemodule → t20movement.build() — "parametric involute gear train caliber: true involute teeth, Geneva-striped plates, blue-steel screws, ruby jewels, spiral hairspring" | |
| writemodule → t20bonsai.build() — "low-poly L-system bonsai: recursive branching, faceted foliage pads, pot + moss + stones" | |
| assetimport("vintagepocketwatch") + assetimport("metaltoolchest") → t20workbench.build() — "horologist's workbench: imported assets with textures wired, procedural involute spares" | |
| writemodule → t20street.build() — "low-poly corner block: 11 parametric buildings, gable roofs, awnings, street furniture, parked vans" | |
| writemodule → t20teapot.build() — "Utah teapot recreation: revolve-profile body, Bezier tapered spout, ear handle, checkered floor" | |
| scenereview() on a bench littered with junk → sceneplan(autofix=True) + cleanup → scenereview() again — score 53.7 → 64.2 | |
Reproduce every frame with the scripts in .github/assets-src/.
## vs blender-mcp
An honest three-tier comparison with ahujasid/mcp-for-blender (measured 2026-09):
| Tier | Contents |
| Unique to this project | ICEV enforced workflow (in server instructions), CoS notation output, checkpoint/rollback transactional safety, sceneplan holistic planning (zone mapping + layout suggestions), multi-session management, 11 deterministic audit checks, playblast render preview with metadata |
| Unique to blender-mcp | Asset ecosystem breadth (Sketchfab/Hyper3D/Hunyuan3D), first-class object CRUD tools, AI-generated-model integrations, community scale |
| Shared | MCP tool surface, Poly Haven asset source, viewport screenshot feedback, arbitrary Python execution, local socket connection |
Poly Haven model search + import shipped in 0.2.0 (issue #2 thin slice: FBX + texture wiring; HDRIs and texture packs remain roadmap). AI generation and first-class object CRUD are explicitly out of scope — the latter is already covered by executecode.
> MCP server giving AI agents spatial awareness of Autodesk Maya scenes
## What Is This
mcp-for-maya is a Model Context Protocol (MCP) server that lets LLM agents (Codex, Claude, etc.) directly drive Autodesk Maya for 3D modeling, scene planning, and engineering-grade delivery.
Forked from chadrik/maya-mcp-server, it adds a scene-intelligence layer on top of the upstream connection stack: spatial awareness, deterministic auditing, transactional safety, and a visual loop.
Key capability: the agent stops "writing blind" — it can perceive spatial state, materials, and object relationships, then verify changes against engineering rules.
> [!WARNING]
> This server executes arbitrary Python inside Maya — that is a designed capability, not a bug. The built-in validation / rate-limit / audit pipeline is a safety net for accidents and injected instructions, not a boundary against a malicious client; the connected agent is trusted. See docs/threat-model.md.
Every asset below is a real capture produced by this project's own tool chain — no mockups: scenes were built procedurally through executecode / writemodule (plus one live assetimport), frames rendered through scenerenderpreview, the audit pair via scenereview + sceneviewportsnapshot, and the orbit sequence captured frame-by-frame with playblast (Maya 2024 GUI session).
| Prompt | Result |
| writemodule → t20movement.build() — "parametric involute gear train caliber: true involute teeth, Geneva-striped plates, blue-steel screws, ruby jewels, spiral hairspring" | |
| writemodule → t20bonsai.build() — "low-poly L-system bonsai: recursive branching, faceted foliage pads, pot + moss + stones" | |
| assetimport("vintagepocketwatch") + assetimport("metaltoolchest") → t20workbench.build() — "horologist's workbench: imported assets with textures wired, procedural involute spares" | |
| writemodule → t20street.build() — "low-poly corner block: 11 parametric buildings, gable roofs, awnings, street furniture, parked vans" | |
| writemodule → t20teapot.build() — "Utah teapot recreation: revolve-profile body, Bezier tapered spout, ear handle, checkered floor" | |
| scenereview() on a bench littered with junk → sceneplan(autofix=True) + cleanup → scenereview() again — score 53.7 → 64.2 | |
Reproduce every frame with the scripts in .github/assets-src/.
## vs blender-mcp
An honest three-tier comparison with ahujasid/mcp-for-blender (measured 2026-09):
| Tier | Contents |
| Unique to this project | ICEV enforced workflow (in server instructions), CoS notation output, checkpoint/rollback transactional safety, sceneplan holistic planning (zone mapping + layout suggestions), multi-session management, 11 deterministic audit checks, playblast render preview with metadata |
| Unique to blender-mcp | Asset ecosystem breadth (Sketchfab/Hyper3D/Hunyuan3D), first-class object CRUD tools, AI-generated-model integrations, community scale |
| Shared | MCP tool surface, Poly Haven asset source, viewport screenshot feedback, arbitrary Python execution, local socket connection |
Poly Haven model search + import shipped in 0.2.0 (issue #2 thin slice: FBX + texture wiring; HDRIs and texture packs remain roadmap). AI generation and first-class object CRUD are explicitly out of scope — the latter is already covered by executecode.
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- Source
- awesome · https://github.com/Xxx91n/mcp-for-maya
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