Yolov13_yolo_inference – 1 MCP server offers this tool
What it usually takes
conf_threshold– in 1 of 1image– in 1 of 1input_type– in 1 of 1iou_threshold– in 1 of 1max_detection– in 1 of 1model_id– in 1 of 1video– 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? |
|---|---|---|
Yolov13 co.huggingface.atalaydenknalbant/yolov13 Performs object detection inference using a YOLOv13 model on either an image or a video. This function downloads the specified YOLO model, then applies it to the provided input. For images, it returns an annotated image. For videos, it processes each frame and returns an annotated video. Error handling for missing inputs is included, returning blank outputs with messages. 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: A tuple containing two elements:, - PIL.Image.Image or None: The annotated image if `input_type` was "Image",, otherwise None., - str or None: The path to the annotated video file if `input_type` was "Video",, otherwise None. | conf_threshold,image,input_type,iou_threshold,max_detection,model_id,video | Not stated |