# 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](https://tastyapi.com). 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](https://tastyapi.com/pricing) ## Quick Start ### Claude Code ```bash 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`: ```json { "mcpServers": { "nutrients": { "command": "npx", "args": ["-y", "nutrients-mcp"], "env": { "TASTYAPI_KEY": "YOUR_API_KEY" } } } } ``` ### Cursor / Windsurf Add to your `mcp.json`: ```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:** ```json { "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:** ```json { "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](https://tastyapi.com/pricing) for full details. ## License MIT — © EB Tech LLC