nutrients-mcp

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).

Requirements

• Node.js 18+
• A TastyAPI API key — get one at tastyapi.com/pricing

Quick Start

Claude Code

claude mcp add nutrients -- npx -y nutrients-mcp

Then set your API key in the server's environment config:

TASTYAPI_KEY=YOUR_API_KEY

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "nutrients": {
      "command": "npx",
      "args": ["-y", "nutrients-mcp"],
      "env": { "TASTYAPI_KEY": "YOUR_API_KEY" }
    }
  }
}

Cursor / Windsurf

Add to your mcp.json:

{
  "mcpServers": {
    "nutrients": {
      "command": "npx",
      "args": ["-y", "nutrients-mcp"],
      "env": { "TASTYAPI_KEY": "YOUR_API_KEY" }
    }
  }
}

Tools

analyze_food_image

Fetches a food image from a public URL and returns a full nutritional breakdown.

| Parameter | Type | Required | Description | |-------------|--------|----------|---------------------------------------| | image_url | string | yes | Public URL of a food image to analyze |

Example prompt:

"What are the macros in this meal? https://example.com/pasta.jpg"

Example output:

{
  "food_name": "Pasta Bolognese",
  "calories": 520,
  "macros": {
    "protein_g": 24,
    "carbohydrates_g": 68,
    "fat_g": 16,
    "fiber_g": 4
  },
  "vitamins": { "vitamin_c_mg": 8, "vitamin_b12_mcg": 1.4 },
  "minerals": { "iron_mg": 3.2, "calcium_mg": 60 },
  "allergens": ["gluten", "dairy"],
  "dietary": { "vegan": false, "vegetarian": false, "gluten_free": false }
}

analyze_food

Returns a full nutritional breakdown for a food item by name or description. No image required.

| Parameter | Type | Required | Description | |-------------|--------|----------|---------------------------------------------------------------| | food_name | string | yes | Name or description of the food (e.g. "oatmeal with banana, 1 cup") |

Example prompt:

"How many calories are in a large avocado?"

Example output:

{
  "food_name": "Large Avocado",
  "calories": 322,
  "macros": {
    "protein_g": 4,
    "carbohydrates_g": 17,
    "fat_g": 29,
    "fiber_g": 13
  },
  "vitamins": { "vitamin_k_mcg": 42, "folate_mcg": 163 },
  "minerals": { "potassium_mg": 975, "magnesium_mg": 58 },
  "allergens": [],
  "dietary": { "vegan": true, "vegetarian": true, "gluten_free": true }
}

Pricing

• $0.015 per request + $5/month base fee (usage-based)
• Or choose a flat-rate plan: Monthly ($29/mo · 5k calls) or Professional ($69/mo · 15k calls)

See tastyapi.com/pricing for full details.

License

MIT — © EB Tech LLC