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MCP BMI

@oscarrenalias

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

oscarrenalias

关于 MCP BMI

暂无概览

MCP BMI 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-bmi": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/oscarrenalias/mcp-server-bmi:latest"
      ]
    }
  }
}

MCP BMI 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MCP BMI?

MCP BMI is a simple MCP server that exposes two tools: one to calculate a person’s BMI from their weight and height, and another to return the corresponding BMI category. It is built on Python with FastMCP, packaged as a Docker container, and published to the GitHub Container Registry. It is intended for AI assistants or applications that need on‑demand BMI computation.

How to use MCP BMI?

The server can be used in two ways. In Visual Studio Code, add a Docker run command to your settings.json. Locally, run uv sync && uv run bmi_server.py or build and run the Docker image with docker build -t mcp-bmi . followed by docker run --rm -it mcp-bmi. The server provides two tools: calculate_bmi (requires weight and height as float inputs) and bmi_category (requires bmi as a float input).

Key features of MCP BMI

  • 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.

Use cases of MCP BMI

  • An AI assistant calculating a user’s BMI from provided weight and height.
  • A health‑aware application classifying BMI into underweight, healthy, or obesity categories.
  • Developers prototyping health‑related tools within the MCP ecosystem.

常见问题

1

What does `calculate_bmi` return?

It returns a number (`bmi_index`) representing the Body Mass Index calculated from the input weight and height.

2

What does `bmi_category` return?

It returns a string (`bmi_category`) with one of seven predefined categories: Underweight, Healthy Weight, Overweight, Obesity, Class 1 Obesity, Class 2 Obesity, or Class 3 Severe obesity.

3

How can I run the server in Visual Studio Code?

Add the following to your `settings.json`: ```json { "servers": { "command": "docker", "args": [ "run", "-i", "--rm", "ghcr.io/oscarrenalias/mcp-server-bmi:latest" ] } } } ```

4

Can I run the server locally without Docker?

Yes. Run `uv sync` then `uv run bmi_server.py` to start the server directly on your machine. Python and `uv` are required.

5

What are the runtime dependencies?

The server is built with Python and FastMCP. For local use, you need Python and `uv`. For Docker usage, you need Docker. The server does not require any external API keys or network access.

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