Supervision Draw

Draw detections onto an image with Roboflow supervision's own annotators, over HTTP and MCP....

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Calidad y seguridad

A
Calidad de la descripción
100%
Integridad del esquema
100%
Calidad de los nombres
80%
Riesgo de envenenamiento
100%
Coincidencia de permisos
100%
Cumplimiento del protocolo
100%

Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.

Costo de contexto

~821Tokens (definiciones de herramientas)
~8.3 KBTamaño de respuesta típico
Impacto moderado en la atención (0.64% del contexto de 128k)

Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.

Instalar

Instalación con un clic

Agrega esto a tu archivo `claude_desktop_config.json`:

{
  "mcpServers": {
    "supervision-draw": {
      "url": "https://supervision-draw.saastemly.com/mcp"
    }
  }
}

Puntos de conexión remotos

https://supervision-draw.saastemly.com/mcpstreamable-http

Qué puede hacer

Inventario de herramientas

Herramientas (1)

🟢 Solo lectura🟡 Escritura🔴 Eliminación⚪ Desconocido
⚪annotate(image, detections, annotators, class_names, format, ...)

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).

Esquema de entrada

{
  "type": "object",
  "properties": {
    "image": {
      "type": "string",
      "description": "Base64 of a PNG, JPEG, BMP or WebP file (a data: URI also works), up to 4 million pixels and about 2 MB"
    },
    "detections": {
      "type": "array",
      "description": "Up to 500 detections, drawn in this order",
      "items": {
        "type": "object",
        "properties": {
          "xyxy": {
            "type": "array",
            "items": {
              "type": "number"
            },
            "description": "Box [x1, y1, x2, y2] in pixels from the top-left corner; may extend past the image"
          },
          "class_id": {
            "type": "integer",
            "description": "Class number, 0 or more; picks the colour and the name from class_names"
          },
          "confidence": {
            "type": "number",
            "description": "0 to 1; shown in the label unless label is given"
          },
          "label": {
            "type": "string",
            "description": "Label text, printable ASCII, up to 64 characters (replaces the generated one)"
          },
          "tracker_id": {
            "type": "integer",
            "description": "Tracker id, used when color_lookup is track"
          },
          "polygon": {
            "type": "array",
            "items": {
              "type": "array",
              "items": {
                "type": "number"
              }
            },
            "description": "Outline [[x, y], ...] (3 to 512 points) that mask, polygon and halo draw; required on every detection when one of them is used"
          }
        },
        "required": [
          "xyxy"
        ]
      }
    },
    "annotators": {
      "type": "array",
      "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": {
        "type": "object",
        "properties": {
          "type": {
            "type": "string",
            "description": "Annotator type"
          }
        },
        "required": [
          "type"
        ]
      }
    },
    "class_names": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Names indexed by class_id, used in generated labels and in counts.byClass (printable ASCII)"
    },
    "format": {
      "type": "string",
      "enum": [
        "png",
        "jpeg"
      ],
      "description": "Output format (default png)"
    },
    "quality": {
      "type": "integer",
      "description": "JPEG quality 1-100 (default 90)"
    }
  },
  "required": [
    "image",
    "detections"
  ]
}

Comunidad

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Evidencia

Observaciones recientes

verificadoversión no registrada1 herramientas