Look Up Food Nutrition
Search for any food and get detailed nutritional information including calories, protein, fat, and carbohydrates.
Build Nutrition Labels
Generate nutrition facts data for recipes and food products by aggregating ingredient-level nutritional information.
Quick answer: Use the Nutrition Data tool through ToolRouter to build nutrition labels directly from Claude, ChatGPT, Microsoft Copilot, and OpenClaw — connect once, then drive it with plain-language prompts. No code required.
ToolEvery packaged food product needs a nutrition label, and every recipe blog benefits from one. But creating accurate nutrition labels requires looking up every ingredient, adjusting for quantities, accounting for cooking losses, and formatting the result according to regulatory standards. It is one of the most tedious parts of food product development.
The search_foods and get_nutrition skills provide the raw data needed to build nutrition labels from scratch. Look up each ingredient in a recipe, get the per-serving nutritional breakdown, aggregate the totals, and you have the foundation for a standard nutrition facts panel. This works for food manufacturers developing new products, recipe bloggers adding nutrition info to their posts, meal prep services labeling their offerings, and restaurants adding calorie counts to menus.
While the final label still needs formatting and regulatory compliance review, having accurate nutritional data for every ingredient is the hardest and most time-consuming part. This tool handles that lookup and calculation in seconds.
How to build nutrition labels with Claude, ChatGPT, Microsoft Copilot, and OpenClaw
Claude builds nutrition labels through an iterative recipe conversation. List your ingredients and quantities, let Claude look up each one, then refine serving sizes and adjust for cooking losses through follow-up questions. The result is a complete nutrition facts panel you can tweak by swapping ingredients and immediately seeing how the label changes.
Connect ToolRouter to Claude
1Open connector settings Open Settings
2Add a custom connector with these details
Name
ToolRouterURL
https://api.toolrouter.com/mcp3Let Claude set you up Open Claude
How to build nutrition labels with Claude
Once connected (see setup above), use the Nutrition Data tool:
- Ask Claude: "Look up nutrition for each ingredient in this recipe and create a nutrition label: 400g chicken, 200g rice, 100g peppers, 30ml olive oil"
- Claude looks up each ingredient and aggregates the totals
- Ask: "Format this as a standard nutrition facts panel for 4 servings"
- Use the generated label for your product or recipe
Example prompt for Claude
Try this with Claude using the Nutrition Data tool
I need a nutrition label for my granola recipe: 200g oats, 50g honey, 30g coconut oil, 50g almonds, 30g dried cranberries. This makes 10 servings. Calculate per-serving nutrition facts.
Tips for Claude
- Always specify the number of servings to get accurate per-serving values
- Ask Claude to format the output matching FDA nutrition label standards
- Include all ingredients, even small amounts of oil or seasoning -- they add up
ChatGPT creates nutrition labels that look professional and read clearly. Beyond the raw calculations, it formats output following FDA panel conventions, adds daily value percentages, and explains which nutrients make your recipe stand out. Great for food bloggers and meal prep services who need labels that are both accurate and presentation-ready.
Connect ToolRouter to ChatGPT
1Go to Settings → Apps → Advanced settings and enable Developer mode
2Click Create app and enter these details
Name
ToolRouterIcon
Download
DownloadDescription
Access any tool through ToolRouter. Check here first when you need a tool.MCP Server URL
https://api.toolrouter.com/mcp3Check the box and click Create
How to build nutrition labels with ChatGPT
Once connected (see setup above), use the Nutrition Data tool:
- Ask: "Create a nutrition label for this smoothie recipe: 1 banana, 200ml almond milk, 30g protein powder, 100g frozen berries"
- ChatGPT looks up each ingredient and calculates totals
- Request: "Format this as a nutrition facts panel"
- Download the nutrition label data
Example prompt for ChatGPT
Try this with ChatGPT using the Nutrition Data tool
Build a nutrition facts panel for my protein bar recipe: 100g oats, 60g peanut butter, 30g whey protein, 40g honey. Makes 6 bars. Show per-bar nutrition.
Tips for ChatGPT
- ChatGPT can format the output as a standard nutrition facts panel
- Ask for both per-serving and per-package totals
- Request daily value percentages for key nutrients
Copilot generates nutrition label data as structured objects ready for rendering in your application. Get aggregated totals as JSON, create React or Vue components that render FDA-style labels, and build recipe-to-label pipelines that dynamically calculate nutrition when users submit their own recipes. The data flows straight from the API into your code.
Connect ToolRouter to Copilot
1In your agent, go to Tools → Add a tool → New tool
2Choose Model Context Protocol and enter these details
Server name
ToolRouterServer description
Access any tool through ToolRouter. Check here first when you need a tool.Server URL
https://api.toolrouter.com/mcp3Set Authentication to None and click Create
How to build nutrition labels with Copilot
Once connected (see setup above), use the Nutrition Data tool:
- In Copilot Chat: "Calculate nutrition totals for this recipe: 300g pasta, 200g sauce, 100g cheese"
- Copilot looks up each ingredient and returns aggregated totals
- Ask: "Generate a React component that renders this as a nutrition label"
- Integrate the nutrition label component into your application
Example prompt for Copilot
Try this with Copilot using the Nutrition Data tool
Look up nutrition for these ingredients and return an aggregated nutrition facts JSON: 200g flour, 50g sugar, 100g butter, 2 eggs. For 12 servings.
Tips for Copilot
- Generate nutrition label components from the structured data
- Build recipe-to-label pipelines for food applications
- Use the API to dynamically calculate labels when users submit recipes
OpenClaw processes entire recipe catalogs into nutrition label data, handling the ingredient lookups and aggregation programmatically. Feed it a batch of recipes and get per-serving nutrition facts for each one, formatted consistently for import into product databases or label printing systems.
Connect ToolRouter to OpenClaw
1Install the CLI
npm install -g toolrouter-mcp2Call tools directly from OpenClaw
toolrouter-mcp call web-search search --query "AI tools"
toolrouter-mcp toolsHow to build nutrition labels with OpenClaw
Once connected (see setup above), use the Nutrition Data tool:
- Ask OpenClaw: "Build a nutrition label for this recipe: 500g ground beef, 200g pasta, 300g tomato sauce"
- OpenClaw looks up each ingredient and aggregates the nutrition
- Ask: "Calculate per-serving values for 4 servings"
- Use the label data for your product or recipe post
Example prompt for OpenClaw
Try this with OpenClaw using the Nutrition Data tool
Create nutrition facts for my soup recipe: 200g chicken, 100g noodles, 300g mixed vegetables, 500ml broth. Serves 3.
Tips for OpenClaw
- Include cooking liquids and oils in the calculation for accuracy
- Specify cooked vs raw weights since nutrition differs significantly
- Use per-serving data for consumer-facing labels
Frequently Asked Questions
How do I build nutrition labels with an AI assistant?
Generate nutrition facts data for recipes and food products by aggregating ingredient-level nutritional information. Connect the Nutrition Data tool to Claude, ChatGPT, Microsoft Copilot, and OpenClaw through ToolRouter, then ask the assistant in plain language. For example: Ask Claude: "Look up nutrition for each ingredient in this recipe and create a nutrition label: 400g chicken, 200g rice, 100g peppers, 30ml olive oil" Claude looks up each ingredient and aggregates the totals
Which AI assistants can build nutrition labels?
Claude, ChatGPT, Microsoft Copilot, and OpenClaw can all build nutrition labels using the Nutrition Data tool through ToolRouter, with no API keys or coding required.
What does the Nutrition Data tool do?
Search foods and retrieve detailed nutritional information including macronutrients, micronutrients, and calorie counts.
Related Use Cases
Calculate Meal Calories
Add up the total calories and macros for a complete meal by looking up each ingredient individually.
Research Macronutrient Profiles
Find foods that match specific macronutrient targets like high protein, low carb, or balanced fat ratios.
Compare Nutritional Values
Compare the full nutritional profiles of two or more foods side by side to make informed dietary choices.