NDWS_Pipeline_predict_from_upload – 1 MCP server offers this tool
What it usually takes
file_path– in 1 of 1n_members– in 1 of 1num_steps– in 1 of 1sample_index– in 1 of 1seed– in 1 of 1threshold– in 1 of 1
No server marks it as only reading: treat it as able to change data.
From each publisher's own tool list. We never call a tool.
Servers
| Server | Inputs | Read-only? |
|---|---|---|
NDWS Wildfire Spread Prediction co.huggingface.amar-atoum/ndws-pipeline Predict next-day wildfire spread from an uploaded NumPy file with a conditional DDPM ensemble, returning a confidence map (ensemble mean), an uncertainty map (standard deviation across members) and a binary fire mask. If a user passes a file as an input, use the upload_file_to_gradio tool, if present, to upload the file to the gradio app and create a Gradio File Input. Then use the returned path as the input to the tool. Returns: Tuple of (input_channels_panel_image, prediction_panel_image with previous fire, ground truth if present, confidence, uncertainty and binary maps, metrics_markdown_string). | file_path,n_members,num_steps,sample_index,seed,threshold | Not stated |