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
基本情報
Devin's attempt at creating an OpenSCAD MCP Server that takes a user prompt and generates a preview image and 3d file.
ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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