Food Tracker MCP

Name: Food Tracker MCP
Author: nagarjun226

@nagarjun226

关于 Food Tracker MCP

A simple Model Context Protocol (MCP) server that connects Claude AI with the OpenFoodFacts database to create an intelligent nutritional assistant.

#food-tracker #nutrition-assistant #diet-management

基本信息

分类

AI 与智能体

运行时

python

传输方式

stdio

发布者

nagarjun226

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "food-tracker-mcp": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

工具

未检测到工具

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 Food Tracker MCP?

Food Tracker MCP is a Model Context Protocol (MCP) server that integrates with the OpenFoodFacts database to track food consumption, analyze nutrition, and manage dietary restrictions. It is designed for users who want to log meals, check products against personal restrictions, and view nutrition summaries.

How to use Food Tracker MCP?

Install Python 3.8 or higher, create a virtual environment, install dependencies (httpx, fastmcp, pydantic), and run python food_tracker.py. The server exposes tools that can be invoked via Claude after registering the MCP with the Claude platform. Example prompts include scanning barcodes, adding restrictions, logging food, and viewing logs.

Key features of Food Tracker MCP

Search food products by barcode or keyword
Analyze nutritional content of food products
Create meal plans based on nutrition goals and dietary restrictions
Track food consumption with meal logging
Manage dietary restrictions and allergies
Check product compatibility with user restrictions
View food logs and nutrition summaries

Use cases of Food Tracker MCP

Set up a new user with dietary restrictions (e.g., gluten allergy, vegetarian)
Scan a product barcode and log consumption for a meal
Check if a product is compatible with a user’s restrictions
Analyze nutrition details of a specific food product
Retrieve a user’s food log for a given date

FAQ from Food Tracker MCP

What runtime and dependencies are required?

Python 3.8 or higher, plus the packages httpx, fastmcp, and pydantic. A virtual environment is recommended.

Where does Food Tracker MCP store data?

Data is stored locally in JSON files: user profiles in ./data/users/{user_id}.json and food logs in ./data/logs/{user_id}_{date}.json.

How do I start the server?

Run python food_tracker.py in the project directory after installing dependencies. The server will be ready to receive commands.

Does the server require internet access?

Yes, because it connects to the OpenFoodFacts API to fetch product information.

Can I extend the MCP?

Yes, the README suggests adding new nutritional analysis features, diet plans, recipe suggestions, reports, or social features.

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