# NutriRef

> Use this tool when you need to access accurate and reliable nutrition data for various foods and ingredients. NutriRef solves problems related to meal planning, recipe analysis, and nutrition research by providing detailed information on nutritional content. It takes food names or IDs as input and outputs comprehensive nutrition facts, making it ideal for AI-powered health and wellness applications.

Canonical page: https://skillsregistry.net/skills/younghef-nutriref-api  
JSON: https://api.skillsregistry.net/v1/skills/younghef-nutriref-api

## Description

USDA nutrition API optimized for AI agents. x402 + USDC on Base

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vw4140eovj)
- **Repository:** <https://github.com/Younghef/nutriref-api>

## 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": "younghef-nutriref-api"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/younghef-nutriref-api` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/younghef-nutriref-api/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