What image generation options are available?
The server supports Google Gemini API (default) and optionally Venice.ai; you can also upload your own images to skip AI generation.
@jhacksman
基本信息
Devin's attempt at creating an OpenSCAD MCP Server that takes a user prompt and generates a preview image and 3d file.
工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
A Model Context Protocol (MCP) server that generates parametric 3D models from text descriptions or images using AI image generation, multi-view reconstruction via CUDA Multi-View Stereo (MVS), and OpenSCAD integration. It is designed for makers, designers, and hobbyists who want to create printable 3D models from high-level prompts.
Install dependencies (OpenSCAD, CUDA Multi-View Stereo, Python packages), set API keys in a .env file (GEMINI_API_KEY, optional VENICE_API_KEY), then start the server with python src/main.py. Interact via MCP tools such as create_3d_model_from_text, generate_image_gemini, or use the web interface at http://localhost:8000/ui/.
The server supports Google Gemini API (default) and optionally Venice.ai; you can also upload your own images to skip AI generation.
Generate multiple consistent views of an object, review and approve each image, then reconstruct a 3D model from the approved set using CUDA MVS.
Yes: run the remote CUDA MVS server (`python src/main_remote.py`) on a LAN machine with a CUDA GPU, then configure the main server to discover or specify that remote server.
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