NutriBalance
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| prompts | {
"listChanged": true
} |
| resources | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| calculate_tdeeA | Calculate TDEE (Total Daily Energy Expenditure), BMR, and personalised daily macro targets (protein, carbs, fat) based on the user's stats and goal. Use this when someone asks how many calories they should eat, what their maintenance calories are, or how to set up their macros. |
| lookup_nutritionA | Look up the full nutritional profile (calories, protein, carbs, fat, fibre, and key micronutrients) for any food by name and serving size. Use this when someone asks about the nutrition or macros in a specific food. |
| generate_meal_planA | Generate a full day meal plan (breakfast, lunch, snack, dinner) tailored to the user's calorie goal, dietary preference, and fitness goal. Use this when someone asks for a meal plan, what to eat for a goal, or how to structure their diet. |
| fix_deficiencyA | Get a detailed action plan to fix a specific nutritional deficiency — including the best foods to eat (with serving sizes), foods to avoid, supplement advice, and deficiency symptoms. Use this when someone asks how to increase a specific nutrient, what to eat for a deficiency, or what causes low levels of a nutrient. |
| nutrition_scoreA | Calculate a nutrition quality score (0–100) for a day's eating based on macros and optional micronutrient data. Returns a breakdown by category, a letter grade, and actionable recommendations. Use this when someone wants to rate their diet, check if they're eating well, or get feedback on a day's meals. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| setup-nutrition-targets | Calculate personalised TDEE and macro targets based on your stats and goal |
| daily-nutrition-check | Score your daily nutrition and get personalised recommendations |
| build-meal-plan | Generate a full day meal plan tailored to your calorie goal and dietary preference |
| fix-nutrient-deficiency | Get a targeted action plan to fix a specific nutritional deficiency |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| nutrient-reference | Daily recommended intakes (RDI), deficiency symptoms, and top food sources for all 10 tracked nutrients: iron, calcium, vitamin C, vitamin D, magnesium, potassium, zinc, sodium, fibre, and protein. Use this as reference when answering nutrition questions. |
TDQS
Scored across 5 tools
Each tool targets a distinct phase of nutrition management: calculating metabolic needs (calculate_tdee), retrieving food data (lookup_nutrition), creating eating plans (generate_meal_plan), addressing specific health issues (fix_deficiency), and evaluating dietary quality (nutrition_score). No functional overlap exists between tools.
Four tools follow a clear verb_noun pattern (calculate_tdee, fix_deficiency, generate_meal_plan, lookup_nutrition) using snake_case. However, nutrition_score breaks the pattern by placing the noun first, creating a minor inconsistency in an otherwise uniform convention.
Five tools is an ideal scope for a focused nutrition server, covering the essential workflows (calculation, lookup, planning, deficiency correction, and evaluation) without bloat or unnecessary fragmentation.
The surface covers the core nutrition lifecycle well: determining needs, sourcing foods, planning meals, correcting deficiencies, and scoring intake. A minor gap exists in exploratory discovery (e.g., searching for foods by nutrient criteria rather than by name), though fix_deficiency partially addresses this for specific nutrients.