What are the system requirements to run Nutritionix MCP Server?
You need Python 3.11+, the `uv` package manager, and a supported LLM host (e.g., Claude Desktop). You also need a Nutritionix API App ID and App Key from developer.nutritionix.com.
@MCP-Forge
基本信息
An MCP server that integrates with the Nutritionix API to provide nutrition data, meal insights, and food logging capabilities. Ideal for AI agents managing health, fitness, or dietary workflows.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"nutritionix-mcp": {
"command": "uvx",
"args": [
"nutritionix-mcp-server",
"--app-id",
"YOUR APP ID",
"--app-key",
"YOUR APP KEY"
]
}
}
}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。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
Nutritionix MCP Server is an MCP (Model Context Protocol) server that integrates with the Nutritionix API, enabling AI agents to access food search, nutrition data, and exercise calorie estimates via natural language input. It is designed for developers building LLM and agent-based applications that need structured nutrition information.
To use it, you need Python 3.11+, uv, a supported LLM (e.g., Claude), and Nutritionix API credentials. Add the server to your Claude Desktop config with the uvx command, passing your App ID and App Key as arguments. Once configured, the server exposes MCP tools for searching foods, parsing meals, and estimating exercise calories.
uvYou need Python 3.11+, the `uv` package manager, and a supported LLM host (e.g., Claude Desktop). You also need a Nutritionix API App ID and App Key from developer.nutritionix.com.
Authentication is done by providing your App ID and App Key as command-line arguments (`--app-id` and `--app-key`) when launching the server via `uvx`.
It accesses the Nutritionix API, which provides food nutrition data, branded food items, and exercise calorie estimates. All data is retrieved from Nutritionix’s cloud-based database; no local data is stored by the server.
The server uses the MCP protocol over stdio, launched as a subprocess by the LLM host (e.g., via `uvx` in the Claude Desktop config).
The README does not list limitations, but the server depends on an active internet connection and valid Nutritionix API credentials. Adding new tools (e.g., barcode search) is listed as a welcome contribution.

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