What parameters control the size of the 3D model?
You can set `model_width` (default 50.0 mm), `model_thickness` (default 5.0 mm), and `base_thickness` (default 2.0 mm) to define the physical dimensions of the relief.
@Bigchx
This project provides a MCP server that converts 2D images into 3D relief models in STL format, suitable for 3D printing or rendering.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp_3d_relief": {
"command": "uv",
"args": [
"--directory",
"{fill_in_your_path_here}",
"run",
"server.py"
]
}
}
}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。
Mcp_3d_relief is a Model Context Protocol server that converts 2D images into 3D relief models in STL format. It is designed for makers, designers, and hobbyists who need to generate dimensional reliefs from photographs or graphics for 3D printing, CNC routing, or visualization.
Install the MCP server and configure it with the tool parameters. Invoke the tool by providing an image_path (local file or web URL) along with optional parameters for model dimensions, base thickness, and detail level. The server returns a JSON response containing paths to the generated depth map and STL file. Alternatively, you can use the included Python script directly from the command line: python3 relief.py path/to/your/image.jpg.
You can set `model_width` (default 50.0 mm), `model_thickness` (default 5.0 mm), and `base_thickness` (default 2.0 mm) to define the physical dimensions of the relief.
`detail_level` controls the resolution during processing. At the default of 1.0, the image is processed at 320px, producing STL files typically under 100MB. Higher values improve detail but can increase file size by 4× or more and significantly lengthen processing time.
Yes. Set `skip_depth=false` and provide a depth map generated by an external service (e.g., Depth-Anything-V2). This can produce more accurate 3D reliefs, especially for complex images.
The tool returns a JSON object with `status`, `depth_map_path` (path to the generated depth map PNG), and `stl_path` (path to the STL file). The LLM can access these files using the provided URLs.
Use the Python script directly: `python3 relief.py path/to/your/image.jpg`. Additional parameters can be passed as command-line arguments (see the script's help for details).

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