MCP BMI
About
# MCP BMI This is a simple MCP server that exposes a tool to calculate the BMI of a person given their weight and height. ## calculate_bmi Calculates the BMI based on weight and height. Input parameters: - weight - height Response: - bmi_index: a number representing the BMI index ## bmi_category Returns the category…
Explore
- calculate_bmi tool: returns a numeric BMI index from weight and height.
- bmi_category tool: returns a string category based on the BMI value.
- Built with Python and FastMCP for easy MCP integration.
- Packaged as a Docker image and available on the GitHub Container Registry.
- Ready‑to‑use DevContainer for development in VS Code.
- Includes a test script (test_bmi.py) that can be run with uv run test_bmi.py.
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
MCP BMICommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
To start the server locally:
uv sync
uv run bmi_server.py
Or with Docker:
docker build -t mcp-bmi .
docker run --rm -it mcp-bmi
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"mcp bmi": {
"mcp-bmi": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/oscarrenalias/mcp-server-bmi:latest"
]
}
}
}
}McpServers
{
"mcp-bmi": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/oscarrenalias/mcp-server-bmi:latest"
]
}
}This is a simple MCP server that exposes a tool to calculate the BMI of a person given their weight and height.
calculate_bmi
Calculates the BMI based on weight and height.Input parameters:
- weight
- height
Response:
- bmi_index: a number representing the BMI index
bmi_category
Returns the category that the BMI corresponds to:Input parameters:
- bmi (float)
Response:
- bmi_category: a string representing the category, as per the established values:
- Underweight (Less than 18.5)
- Healthy Weight (18.5 to less than 25)
- Overweight (25 to less than 30)
- Obesity (30 or greater)
- Class 1 Obesity (30 to less than 35)
- Class 2 Obesity (35 to less than 40)
- Class 3 Severe obesity (40 or greater)
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