ViTPose_transformers_detect_pose_image – 1 MCP server offers this tool
What it usually takes
enable_labels_annotator– in 1 of 1enable_vertices_annotator– in 1 of 1image– 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? |
|---|---|---|
ViTPose Transformers co.huggingface.hysts/vitpose-transformers Detects persons and estimates their poses in a single image. 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[PIL.Image.Image, list[dict]]:, - Annotated image with bounding boxes and pose keypoints drawn., - List of dictionaries containing human-readable pose estimation results for each detected person. | enable_labels_annotator,enable_vertices_annotator,image,threshold | Not stated |