MCP Logger

Instructions

Implementation Reference

• src/main.py:638-679 (handler)

  The 'log_body_metrics' tool handler processes date, weight, skinfold measurements, and notes, saves them to the database, and returns the generated metrics ID.

  def log_body_metrics(
      date: str,
      body_weight_kg: Optional[float] = None,
      skinfolds: Optional[dict[str, float]] = None,
      notes: Optional[str] = None,
  ) -> dict[str, int]:
      """Log body weight and skinfold measurements.
      
      Args:
          date: Date in YYYY-MM-DD format
          body_weight_kg: Body weight in kilograms (optional)
          skinfolds: Dictionary of skinfold measurements in mm (optional).
                     Can be a single site like {"abdomen": 10} or multiple sites
                     like {"chest": 12, "abdomen": 18, "thigh": 15}.
                     Common sites: abdomen, chest, thigh, tricep, subscapular, 
                     suprailiac, midaxillary
          notes: Optional notes about the measurement
      
      Example:
          Single belly skinfold: {"abdomen": 10}
          Multiple sites: {"chest": 12, "abdomen": 18, "thigh": 15}
      """
      date = _ensure_date(date)
      conn = get_connection()
      cursor = conn.cursor()
  
      cursor.execute(
          "INSERT INTO body_metrics (date, body_weight_kg, notes) VALUES (?, ?, ?)",
          (date, body_weight_kg, notes),
      )
      metrics_id = cursor.lastrowid
  
      if skinfolds:
          for site, mm in skinfolds.items():
              cursor.execute(
                  "INSERT INTO skinfolds (body_metrics_id, site_name, mm) VALUES (?, ?, ?)",
                  (metrics_id, site, mm),
              )
  
      conn.commit()
      conn.close()
      return {"body_metrics_id": metrics_id}