# Nutrition Maxing

> Use this tool when you need to accurately track and analyze nutrition data from natural language food descriptions. It solves problems related to meal logging and macro tracking by parsing descriptions into structured data, providing tools for daily nutrition and calorie tracking. It takes in natural language input and outputs structured nutrition data, which is stored in a connected Notion workspace for persistent tracking and review.

Canonical page: https://skillsregistry.net/skills/avrodotter-nutrition-maxing  
JSON: https://api.skillsregistry.net/v1/skills/avrodotter-nutrition-maxing

## Description

Parses natural language food descriptions into structured nutrition data using IFCT 2017 and USDA FoodData Central standards. Provides three tools — log_food, get_daily_nutrition, and get_daily_calories — for conversational meal logging and macro tracking. All intake records are stored in a connected Notion workspace for persistent tracking and review.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/avrodotter-nutrition-maxing)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "avrodotter-nutrition-maxing"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/avrodotter-nutrition-maxing` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/avrodotter-nutrition-maxing/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt