# January AI Nutrition

> January AI Nutrition — ai-january-nutrition. Use this tool when you need to analyze food intake and predict nutritional impacts, such as logging meals or tracking glucose levels. January AI Nutrition solves problems related to nutrition tracking, meal planning, and health monitoring by providing accurate food photo recognition, nutrition search, and glucose prediction. It takes in food photos and meal data as inputs and outputs detailed nutrition information and predictive glucose insights.

Canonical page: https://skillsregistry.net/skills/ai-january-nutrition  
JSON: https://api.skillsregistry.net/v1/skills/ai-january-nutrition

## Description

Food photo recognition, nutrition search, meal logging and glucose prediction for health apps

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-15

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.january%2Fnutrition)

## Use it

MCP endpoint published by the skill: `https://mcp.january.ai/mcp`

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": "ai-january-nutrition"
    }
  }
}
```

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