mcpField
H
Health Information API

Health Information API

Local
github.com/srynoDeveloper Tools0Updated 74w ago

About Health Information API

Health Information API is a FastAPI application for people building health and nutrition services. It offers calculators for body metrics, daily macros, and food nutrition data.

Key features

  1. 01BMI calculation
  2. 02Body frame size estimation
  3. 03U.S. Navy body fat calculation
  4. 04Daily calorie and macro targets
  5. 05Food nutrition lookup via USDA FoodData Central

Use cases

  1. 01Calculate BMI from height and weight
  2. 02Estimate body fat percentage from measurements
  3. 03Plan daily calorie and macronutrient targets
  4. 04Total nutrition values for recipe ingredients

MCP support

The application uses FastAPI-MCP to provide its health and nutrition calculators to MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Health Information API

A FastAPI application that provides various health and nutrition calculators using FastAPI-MCP.

Features

  • BMI Calculator
  • Body Frame Size Calculator
  • Body Fat Percentage Calculator (U.S. Navy Method)
  • Macronutrient Calculator
  • Food Nutrition Calculator (using USDA FoodData Central API)

Installation

  1. Clone the repository:
git clone https://github.com/yourusername/bmi_calc.git
cd bmi_calc
  1. Install dependencies:
pip install -r requirements.txt
  1. Set up environment variables:
# For the USDA FoodData Central API
# Get your API key from https://fdc.nal.usda.gov/api-key-signup.html
export USDA_API_KEY="your_api_key_here"

# (Optional) For the OpenAI API
export OPENAI_API_KEY="your_api_key_here"

Running the Application

uvicorn main:app --reload

The API will be available at http://localhost:8000

API Documentation

Once the application is running, you can access the interactive API documentation at:

API Endpoints

BMI Calculator

Endpoint: POST /bmi

Calculate Body Mass Index (BMI) based on weight and height.

Request Body:

{
  "weight_kg": 70,
  "height_cm": 175
}

Response:

{
  "bmi": 22.86,
  "category": "Normal weight"
}
Body Frame Size Calculator

Endpoint: POST /body-frame

Determine body frame size based on wrist circumference and height.

Request Body:

{
  "wrist_circumference_cm": 18,
  "height_cm": 180,
  "gender": "male"
}

Response:

{
  "frame_size": "MEDIUM"
}
Body Fat Percentage Calculator

Endpoint: POST /body-fat

Calculate body fat percentage using the U.S. Navy method.

Request Body (Male):

{
  "gender": "male",
  "age": 30,
  "weight_kg": 80,
  "height_cm": 180,
  "neck_circumference_cm": 38,
  "waist_circumference_cm": 85
}

Request Body (Female):

{
  "gender": "female",
  "age": 30,
  "weight_kg": 65,
  "height_cm": 165,
  "neck_circumference_cm": 32,
  "waist_circumference_cm": 70,
  "hip_circumference_cm": 95
}

Response:

{
  "body_fat_percentage": 15.3,
  "category": "Fitness"
}
Macronutrient Calculator

Endpoint: POST /macros

Calculate daily calorie and macronutrient targets.

Request Body:

{
  "gender": "male",
  "age": 30,
  "weight_kg": 80,
  "height_cm": 180,
  "activity_level": "moderate",
  "goal": "maintain",
  "body_fat_percentage": 15
}

Response:

{
  "calories": 2800,
  "protein_g": 122,
  "carbs_g": 350,
  "fat_g": 78
}
Food Nutrition Calculator

Endpoint: GET /food-nutrition

Calculate the nutritional content of a list of food ingredients and amounts.

Query Parameters:

  • ingredients: List of food ingredients (e.g., 'apple', 'chicken breast')
  • amounts: List of amounts in grams corresponding to each ingredient

Example Request:

GET /food-nutrition?ingredients=apple&ingredients=chicken%20breast&amounts=100&amounts=150

Response:

{
  "total_calories": 278.5,
  "total_protein_g": 31.45,
  "total_carbs_g": 14.8,
  "total_fat_g": 8.7,
  "total_fiber_g": 2.4,
  "total_sugar_g": 10.4,
  "foods": [
    {
      "name": "Apple, raw",
      "amount_g": 100,
      "calories": 52,
      "protein_g": 0.3,
      "carbs_g": 13.8,
      "fat_g": 0.2,
      "fiber_g": 2.4,
      "sugar_g": 10.4
    },
    {
      "name": "Chicken, breast, meat only, cooked, roasted",
      "amount_g": 150,
      "calories": 226.5,
      "protein_g": 31.15,
      "carbs_g": 1,
      "fat_g": 8.5,
      "fiber_g": 0,
      "sugar_g": 0
    }
  ]
}

Running Tests

pytest -v

License

MIT

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