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Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{
  "listChanged": true
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{
  "tasks": {
    "list": {},
    "cancel": {},
    "requests": {
      "tools": {
        "call": {}
      },
      "prompts": {
        "get": {}
      },
      "resources": {
        "read": {}
      }
    }
  }
}

Tools

Functions exposed to the LLM to take actions

NameDescription
log_workout

Log a complete workout with exercises and sets.

Returns the fully logged workout with all exercises and sets for confirmation.

Args: date_time: ISO datetime string (e.g., "2026-01-06T18:30:00") workout_type: Optional type/category for the workout tags: Optional list of tags (e.g., ["legs", "sprint"]) notes: Optional notes for the workout exercises: List of exercises with sets. Each exercise should have: - name: str (required) - category: Optional[str] - notes: Optional[str] - sets: List of sets with fields like reps, weight_kg, weight_lbs, distance_yards, side, etc.

add_exercise

Add an exercise to an existing workout.

Args: workout_id: ID of the workout to add exercise to name: Name of the exercise category: Optional category (e.g., 'Squat', 'Push', 'Pull') notes: Optional notes about the exercise

add_set

Add a set to an existing exercise.

Args: exercise_id: ID of the exercise to add set to reps: Number of repetitions weight_kg: Weight in kilograms weight_lbs: Weight in pounds distance_m: Distance in meters distance_yards: Distance in yards duration_s: Duration in seconds side: 'left', 'right', or 'both' for unilateral exercises rpe: Rate of Perceived Exertion (1-10) rir: Reps In Reserve (0-5) is_warmup: Whether this is a warmup set

get_workouts

Query workouts with various filters.

get_last_workout

Get the most recent workout matching type or tag.

get_exercise_history

Get history of a specific exercise across workouts.

upsert_nutrition_day

Create or update a nutrition day entry.

upsert_meal

Create or update a meal within a nutrition day.

add_or_update_meal_item

Add or update a food item within a meal.

The AI should first use OpenNutrition MCP to find food_id and get macros, then call this tool with the calculated values for the serving quantity.

get_nutrition_day

Get a complete nutrition day with meals and items.

get_nutrition_days_summary

Get nutrition summaries for a date range.

delete_meal_item

Delete a meal item.

delete_meal

Delete a meal and optionally its items.

delete_nutrition_day

Delete a nutrition day and optionally cascade to meals/items.

log_body_metrics

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}

get_body_metrics

Get body metrics with skinfolds.

search_logs

Search across workouts, nutrition days, and body metrics.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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