- Mcp_3d_relief
Mcp_3d_relief
Content
MCP Tool Parameters
image_path: Local path or web URL to the input image filemodel_width: Width of the 3D model in mm (default: 50.0)model_thickness: Maximum thickness/height of the 3D model in mm (default: 5.0)base_thickness: Thickness of the base in mm (default: 2.0)skip_depth: Whether to use the image directly or generate a depth map (default: true)invert_depth: Invert the relief (bright areas become low instead of high) (default: false)detail_level: Controls the resolution of the processed image (default: 1.0). At detail_level = 1.0, the image is processed at 320px resolution, producing an STL file typically under 100MB. Higher values improve detail quality but significantly increase both processing time and STL file size. For example, doubling the detail_level can increase file size by 4x or more. Use with caution.
Response
The MCP Tool returns a JSON response with:
{
"status": "success",
"depth_map_path": "path/to/yourimage_depth_map.png",
"stl_path": "path/to/yourimage.stl"
}
Where LLMs can access the generated files from this MCP server, using the provided URLs.
Command Line
You can also use the script directly from the command line to generate a relief model from an image:
python3 relief.py path/to/your/image.jpg
External Depth Map Generation
For higher quality depth maps, you can use external depth map generation services like Depth-Anything-V2. This service can generate more accurate depth maps that you can then use with this project:
- Visit https://huggingface.co/spaces/depth-anything/Depth-Anything-V2
- Upload your image to generate a depth map
- Download the generated depth map
- Use this depth map with our converter by setting
skip_depth=false
This approach can provide better 3D relief models, especially for complex images.
Server Config
{
"mcpServers": {
"mcp_3d_relief": {
"command": "uv",
"args": [
"--directory",
"{fill_in_your_path_here}",
"run",
"server.py"
]
}
}
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