# nutrients-mcp

> nutrients-mcp — ericblair1903-nutrients-mcp. Use this tool when you need to quickly analyze food images and retrieve detailed nutrition data, including calories, macros, and dietary flags. It solves problems such as identifying allergens and providing instant nutrition information, accepting food images as input and outputting comprehensive nutrition data. Ideal for use cases where speed and accuracy are crucial, such as meal planning, nutrition tracking, and food journaling.

Canonical page: https://skillsregistry.net/skills/ericblair1903-nutrients-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ericblair1903-nutrients-mcp

## Description

Give your AI assistant the ability to analyze food images and look up nutrition data for any food — calories, macros, vitamins, minerals, allergens, and dietary flags in under 1 second — powered by TastyAPI. Much faster and more accurate than Gemini and GPT-4 Vision (4-10 seconds).

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kscfy7meyk)
- **Repository:** <https://github.com/ericblair1903/nutrients-mcp>

## 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": "ericblair1903-nutrients-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ericblair1903-nutrients-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ericblair1903-nutrients-mcp/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