sam3_image_text_inference – 1 MCP server offers this tool
What it usually takes
conf_threshold– in 1 of 1im– 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? |
|---|---|---|
SAM3 co.huggingface.gf-john/sam3 Segment every instance of a concept in a single image with SAM3 using a natural-language text prompt (concept segmentation). The prompt is a concept to find (e.g. "player in white", "red car"); each matching instance becomes one detection. Returns a JSON list of detection objects, each with: "object_id" (integer index of the instance within this image); "x", "y", "w", "h" (floats); "conf" (float 0-1 detection score); and "mask_b64" (string). The bounding box ("x","y","w","h") is NORMALIZED 0-1: (x, y) is the top-left corner and (w, h) is the box size, each divided by the image width/height -- i.e. the albumentations "coco" layout [x_min, y_min, width, height] but normalized to 0-1 rather than absolute pixels, and NOT the "pascal_voc" [x_min, y_min, x_max, y_max] layout. Bounding-box formats are documented at https://albumentations.ai/docs/3-basic-usage/bounding-boxes-augmentations/#bounding-box-formats . "mask_b64" is a base64-encoded 1-bit PNG of the binary segmentation mask at the in | conf_threshold,im,prompt | Not stated |