Cognito 3D

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 SF3D

Runtimes 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.

Choose a workflow

Workflow	Registered server	Agent skill
Named-view Hunyuan batches; repair, remesh, Paint, bake and inspect profiles	codex_3d_models_hunyuan_mv	Multiview 3D
Single-image SF3D and SPAR3D generation or backend comparisons	codex_3d_models / codex_3d_models_spar3d	Single-image 3D
Matched front/back reconstruction with fusion and QA	codex_3d_models_trellis	Bidirectional 3D

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.ps1

MCP 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

• Batch stages and quality gates
• Dashboard and artifact viewer
• Shape repair and accepted masters
• Optional CuMesh repair adapter
• Bidirectional pipeline
• Contributing and CPU checks
• Security and private reporting
• Changes and migration, upstream provenance

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.