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cal-mcp-psi.vercel.app

cal-mcp-psi.vercel.app

live Unverified (seed import) Health & Education 17 tools imperative implementation

Track your calories, nutrition, hydration, and body progress. AI-powered meal logging via WebMCP.

First seen 2026-11-05 · Last seen 2026-11-05 · Source: webmcp.com

Answer 11 · Act 5 · Transact 1 · Score: Not yet scored

Tool inspector

create_meal_draft

act imperative

Creates and logs a meal directly from your analysis into daily intake.

Page: /

Input schema

PropertyTypeRequiredDescription
captureId string no Optional correlation ID from get_pending_photo_context.
eatenAt string yes ISO timestamp when meal was eaten (UTC).
mealType string yes —
title string yes Meal name, 1-80 characters.
items array yes Food items with nutrition per entered quantity (not per 100g).
overallConfidence number no Overall confidence 0-1.
assumptions array no List assumptions made in your analysis.
Raw JSON schema
{
  "type": "object",
  "properties": {
    "captureId": {
      "type": "string",
      "description": "Optional correlation ID from get_pending_photo_context."
    },
    "eatenAt": {
      "type": "string",
      "description": "ISO timestamp when meal was eaten (UTC)."
    },
    "mealType": {
      "type": "string",
      "enum": [
        "breakfast",
        "lunch",
        "dinner",
        "snack"
      ]
    },
    "title": {
      "type": "string",
      "description": "Meal name, 1-80 characters."
    },
    "items": {
      "type": "array",
      "description": "Food items with nutrition per entered quantity (not per 100g).",
      "items": {
        "type": "object",
        "properties": {
          "name": {
            "type": "string"
          },
          "quantity": {
            "type": "number"
          },
          "unit": {
            "type": "string",
            "enum": [
              "g",
              "ml",
              "oz",
              "piece",
              "serving",
              "cup",
              "tbsp",
              "tsp"
            ]
          },
          "grams": {
            "type": "number",
            "description": "Weight in grams if known."
          },
          "nutrition": {
            "type": "object",
            "properties": {
              "caloriesKcal": {
                "type": "number"
              },
              "proteinG": {
                "type": "number"
              },
              "carbsG": {
                "type": "number"
              },
              "fatG": {
                "type": "number"
              },
              "fiberG": {
                "type": "number"
              }
            },
            "required": [
              "caloriesKcal",
              "proteinG",
              "carbsG",
              "fatG"
            ]
          },
          "confidence": {
            "type": "number",
            "description": "0.0-1.0 confidence in this estimate."
          },
          "estimationNotes": {
            "type": "string",
            "description": "Explain how you estimated this item."
          }
        },
        "required": [
          "name",
          "quantity",
          "unit",
          "nutrition"
        ]
      },
      "minItems": 1,
      "maxItems": 30
    },
    "overallConfidence": {
      "type": "number",
      "description": "Overall confidence 0-1."
    },
    "assumptions": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "List assumptions made in your analysis."
    }
  },
  "required": [
    "eatenAt",
    "mealType",
    "title",
    "items"
  ]
}

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