Cognito-3D-MCP
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Cognito-3D-MCPTurn the reference images into a 3D GLB"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Cognito-3D-mcp

Local image-to-3D tools for MCP clients. Create textured GLBs, inspect them in a local 3D viewer, repair geometry, and export assets through durable, reviewed jobs. This repository ships the MCP integration, Windows setup scripts, tests, and the agent skills needed to drive the workflows.
3D only: there is no sprite rig, spritesheet generator, or 2D editor. Reference PNG preparation is part of the 3D reconstruction pipeline.
Install on Windows
Download and extract the repository ZIP, then double-click Install.cmd
and choose a 3D engine from its guided menu. The installer prepares an isolated
runtime, downloads the selected engine's
models, installs support tools, and configures Codex and the bundled skills.
It checks each command and stops when a prerequisite or download fails.
Run it again after correcting the reported issue.
The default engine is Hunyuan3D-2mv. Its licence excludes the EU, UK and South Korea. The installer requires acknowledgement of the upstream terms before downloading it. Users need suitable rights for the engine they select; the MIT licence of this integration does not change model terms. See third-party notices.
Generation requires a compatible NVIDIA GPU/driver, Python 3.11, Visual Studio 2022 C++ Build Tools, and the matching CUDA toolkit for native extension builds. The installer reports missing prerequisites and can bootstrap supported tools through Windows Package Manager. Allow at least 45 GB free for the Hunyuan runtime/model install; additional environments and generated assets need more. Windows is the supported generation setup. CPU tests and the lightweight MCP package also run on Linux; a Linux GPU installer is not provided.
Installation is one launcher with guided prerequisite/licence steps, rather than a promise that drivers, model access approvals, or hardware can be installed without user involvement. Large model downloads can take substantial time.
Advanced installation and a preview with no downloads or configuration writes:
.\install.ps1 -DryRun
.\install.ps1 -Backend Hunyuan
.\install.ps1 -Backend SPAR3D
.\install.ps1 -Backend SF3DRuntimes and model caches default to %LOCALAPPDATA%\Cognito-3D-mcp.
The installer also defaults outputs to %LOCALAPPDATA%\Cognito-3D-mcp\outputs.
Use installer parameters or .env for alternate locations. The
example environment contains no account-specific paths or credentials.
Stability AI backends require access to gated Hugging Face models. Accept the model terms with your own account. The installer reuses existing credentials or guides you through local Hugging Face authentication before downloading weights. Do not put a token in chat or source control. The installer preserves existing MCP configuration and skill directories and reports conflicts for manual review. Restart Codex after installing or updating MCP servers and skills.
Related MCP server: Hunyuan-mcp-webui
Choose a workflow
Workflow | Registered server | Agent skill |
Named-view Hunyuan batches; repair, remesh, Paint, bake and inspect profiles |
| |
Single-image SF3D and SPAR3D generation or backend comparisons |
| |
Matched front/back reconstruction with fusion and QA |
|
For example, ask the connected agent: “Use Cognito-3D-mcp to create a textured
3D asset from these reference images.” The agent checks server_status, prepares
consistent images beneath an allowed input root, runs serial work, inspects the
quality evidence, and returns accepted GLBs. Text descriptions need an
image-generation capability in the MCP client; this server does not include an
image generator or make LLM API calls.
The Hunyuan batch workflow registers all assets, approves reference cutouts, generates shapes, repairs and reviews them, independently remeshes three output profiles, paints the full-game profile, and bakes that appearance to the lower profiles. Worker processes and GPU leases are serial. Passing machine gates and agent reviews are required before later stages or delivery.
The queue opens a loopback dashboard with progress, previews, quality reports, and an interactive model viewer. Viewer modules are shipped locally. Failed attempts and completed checkpoints remain available for repair and restart.
Run and connect other clients
Codex starts the configured servers automatically when it connects. Run.cmd
starts the installed server manually; it waits for an MCP client on STDIO.
To select a particular installed engine, pass -Backend SPAR3D (or another
engine name).
.\scripts\run-hunyuan-mv-server.ps1MCP uses STDIO, so a terminal run waits for a client protocol session. Other MCP hosts can start the same launcher with an absolute repository path:
{
"mcpServers": {
"cognito-3d": {
"command": "powershell.exe",
"args": ["-NoProfile", "-ExecutionPolicy", "Bypass", "-File", "C:\\path\\to\\Cognito-3D-mcp\\scripts\\run-hunyuan-mv-server.ps1"]
}
}
}That execution-policy setting applies to the launched process. A non-Codex host
must supply the same workflow instructions or import the relevant skills/
content. Compatibility server names, the Python namespace codex_3d_mcp, and
CODEX_* variables remain stable despite the product rebrand.
Documentation and development
The source ZIP contains the installer and skills. A Python wheel is the lightweight integration package; heavy model runtimes are installed separately. Automated checks verify source files, skill references, wheel browser assets, HTTP access, job lifecycle, and CPU quality logic. Fresh-machine GPU installation and real generation remain separate hardware checks; see release verification.
Licensing
Original integration code and workflow skills use the MIT licence. External engines, model weights, and native tools retain their own terms. Cognito-3D-mcp is maintained independently by Lanc3 and contributors and is not affiliated with or endorsed by Tencent, Stability AI, Microsoft, or OpenAI.
This server cannot be deployed
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