| name | nutrition-tracking |
| description | Nutrition intake tracking and analysis via wger. Use when: (1) Logging meals and
macros, (2) Reviewing daily/weekly nutrition, (3) Checking protein targets,
(4) Correlating nutrition with workout performance and recovery.
|
Nutrition Tracking
Tool Mapping (wger-mcp)
| Task | Approach |
|---|
| Log meal/food | Add nutrition diary entries with calories and macros |
| Daily summary | Sum day's intake: calories, protein, carbs, fat |
| Weekly summary | Average daily intake over 7 days |
| Nutrition plans | View/create nutrition plans with targets |
Daily Targets
Default targets (adjust per user preference):
- Calories: Based on TDEE (activity level × BMR)
- Protein: 0.8-1g per lb bodyweight (prioritize this)
- Fat: 25-35% of calories
- Carbs: Remainder after protein and fat
Logging Workflow
When user reports meals:
- Estimate or look up macros per food item
- Log to wger with: food name, quantity, calories, protein, carbs, fat
- Show running daily total vs targets
- Flag if protein is tracking below target by end of day
Analysis
Daily Review
- Total calories vs target (± 10% is on-track)
- Protein intake vs target (hit this first)
- Macro split pie: protein %, carbs %, fat %
- Meal timing: any long gaps (> 5 hours) between meals
Weekly Patterns
- Average daily calories and consistency (low variance = good)
- Average protein: consistently hitting target?
- Weekday vs weekend patterns (common to overeat weekends)
- Correlation with workout days (higher intake on training days is expected)
Nutrition-Performance Correlation
- Compare high-protein days with next-day workout performance
- Compare sleep quality (Oura) with evening meal timing
- Compare calorie deficit days with next-day readiness score
Guidelines
- Protein is the priority macro — always track and flag if below target
- Don't obsess over daily calories — weekly averages matter more
- Log consistently rather than perfectly — rough estimates beat no data
- Flag sustained calorie deficit + high training volume (overtraining risk)
