embodied_r1_5_predict – 1 MCP server offers this tool
What it usually takes
image– in 1 of 1max_new_tokens– in 1 of 1prompt– 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? |
|---|---|---|
Embodied-R1.5 co.huggingface.hugging-apps/embodied-r1-5 Run Embodied-R1.5 inference on an image with a text prompt. Upload a scene image and ask the model to plan a robot task, ground an affordance, answer a spatial reasoning question, or point to an object. The model reasons over the visual observation and emits its final answer inside an <answer> tag. If the answer contains 2D points (normalized to [0, 1000]), they are visualized on the 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 of (raw model output text, visualization image with points, decoded points info). | image,max_new_tokens,prompt | Not stated |