Server definition

Hash: sha256:0418fd49725fb696931f7482b2cfdf7eebbddd7b63fee0a4c0f6b8ea5e8bf0c4
What it is: What a remote MCP server returned when asked what it offers: 1 tools

The blob, as servednamed by its sha256

{
  "instructions": "Draw detections onto an image with Roboflow supervision's own annotators, over HTTP and MCP. Send a base64 image and detections (boxes in xyxy pixels, optional class_id, confidence, label, polygon) and get back the annotated image plus per-class counts. Annotators: box, round_box, box_corner, circle, dot, ellipse, triangle, label, color, mask, polygon, halo, background_overlay, blur, pixelate, percentage_bar, chained in order. A hosted alternative to installing Python and supervision just to render detection results. Each tool is a paid call; set \"Authorization: Bearer <API key>\" (prepaid credits from https://pay.saastemly.com/credits/checkout).",
  "tools": [
    {
      "description": "Annotate an image with detections using supervision's annotators (box, round_box, box_corner, circle, dot, ellipse, triangle, label, color, mask, polygon, halo, background_overlay, blur, pixelate, percentage_bar), applied in order. Input: base64 image up to 4 megapixels, up to 500 detections with xyxy pixel boxes and optional class_id, confidence, ASCII label, polygon. Returns the annotated image (base64 PNG or JPEG), size and counts per class. Price: $0.003 a call (3 free calls a day without an API key).",
      "inputSchema": {
        "properties": {
          "annotators": {
            "description": "Annotators applied in order, each a type name or an object {\"type\": ..., options}. Default [box, label]. Put blur, pixelate, color, mask or background_overlay before box and label. Types: box, round_box, box_corner, circle, dot, ellipse, triangle, label, color, mask, polygon, halo, background_overlay, blur, pixelate, percentage_bar. Options use supervision's names: color, color_lookup, thickness, opacity, roundness, corner_length, radius, position, start_angle, end_angle, base, height, width, kernel_size, pixel_size, outline_thickness, outline_color, border_color, border_thickness, force_box, text_color, text_scale, text_thickness, text_padding, text_position, border_radius, smart_position. color: A hex colour like \"#ff8800\" or a name: black, blue, green, grey, red, roboflow, white, yellow (default: supervision's class palette). color_lookup: What picks the colour: \"class\" (default when every detection has a class_id), \"index\" (position in the list) or \"track\" (tracker_id). position and text_position: Anchor point: center, center_left, center_right, top_center, top_left, top_right, bottom_left, bottom_center, bottom_right, center_of_mass",
            "items": {
              "properties": {
                "type": {
                  "description": "Annotator type",
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            },
            "type": "array"
          },
          "class_names": {
            "description": "Names indexed by class_id, used in generated labels and in counts.byClass (printable ASCII)",
            "items": {
              "type": "string"
            },
            "type": "array"
          },
          "detections": {
            "description": "Up to 500 detections, drawn in this order",
            "items": {
              "properties": {
                "class_id": {
                  "description": "Class number, 0 or more; picks the colour and the name from class_names",
                  "type": "integer"
                },
                "confidence": {
                  "description": "0 to 1; shown in the label unless label is given",
                  "type": "number"
                },
                "label": {
                  "description": "Label text, printable ASCII, up to 64 characters (replaces the generated one)",
                  "type": "string"
                },
                "polygon": {
                  "description": "Outline [[x, y], ...] (3 to 512 points) that mask, polygon and halo draw; required on every detection when one of them is used",
                  "items": {
                    "items": {
                      "type": "number"
                    },
                    "type": "array"
                  },
                  "type": "array"
                },
                "tracker_id": {
                  "description": "Tracker id, used when color_lookup is track",
                  "type": "integer"
                },
                "xyxy": {
                  "description": "Box [x1, y1, x2, y2] in pixels from the top-left corner; may extend past the image",
                  "items": {
                    "type": "number"
                  },
                  "type": "array"
                }
              },
              "required": [
                "xyxy"
              ],
              "type": "object"
            },
            "type": "array"
          },
          "format": {
            "description": "Output format (default png)",
            "enum": [
              "png",
              "jpeg"
            ],
            "type": "string"
          },
          "image": {
            "description": "Base64 of a PNG, JPEG, BMP or WebP file (a data: URI also works), up to 4 million pixels and about 2 MB",
            "type": "string"
          },
          "quality": {
            "description": "JPEG quality 1-100 (default 90)",
            "type": "integer"
          }
        },
        "required": [
          "image",
          "detections"
        ],
        "type": "object"
      },
      "name": "annotate",
      "outputSchema": null
    }
  ]
}

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