Nutritionix Connector for AI agents.
2 live capabilities
Get precise calorie and macro tracking for any meal or restaurant order.
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Why people use Nutritionix
Nutritionix for Accurate Calorie and Macro Tracking
With this Connector, you just tell your agent what you ate. It handles the search, the weight conversions, and the math instantly. You get a clean breakdown of your macros without ever opening a separate app.
What Vinkius changes
Your agent handles the complex math of nutrition so you can just talk about your food.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Quickly checking a client's breakfast
A fitness coach asks the agent to "Analyze the nutrition of 2 eggs and a piece of toast" to quickly check a client's breakfast.
- Real-world use case 02
Getting calories for a coffee order
A user wants to know the calories in a "Starbucks Grande Caramel Macchiato with almond milk" while at a coffee shop.
- Real-world use case 03
Calculating protein for meal prep
A meal prep enthusiast describes a "grilled salmon 200g with 1 cup of brown rice" to see the total protein content.
Complete set · 2capabilities
The complete Nutritionix capability set.
These are the exact actions your AI can choose when you ask it to work with Nutritionix.
01—02
2 capabilities in this set.
Part of 2 available through Nutritionix.
- 01 Capability
Search nutritionix foods
Finds specific branded items or generic foods in the database to get accurate calorie counts. This helps you identify precise menu items from major restaurant chains.
- 02 Capability
Analyze food nutrition
Turns a natural language sentence into a detailed breakdown of calories, protein, fat, carbs, and more. It parses messy descriptions to give you exact numbers.
Set up in minutes
One URL. Then ask Nutritionix to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Nutritionix from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_qd2EB5uR4foctxLARlP4JLLg6FqvJkhIduvJ2EwC/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Nutritionix, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Nutritionix for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_qd2EB5uR4foctxLARlP4JLLg6FqvJkhIduvJ2EwC/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Nutritionix URL.
- Step 03
Save and start
Save the connection and enable Nutritionix in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"nutritionix": {
"url": "https://edge.vinkius.com/vk_preview_qd2EB5uR4foctxLARlP4JLLg6FqvJkhIduvJ2EwC/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Nutritionix
Open Agent mode in chat and ask: "Using Nutritionix, help me...". 2 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"nutritionix": {
"url": "https://edge.vinkius.com/vk_preview_qd2EB5uR4foctxLARlP4JLLg6FqvJkhIduvJ2EwC/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Nutritionix
Ask Copilot: "Using Nutritionix, help me...". 2 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"nutritionix": {
"url": "https://edge.vinkius.com/vk_preview_qd2EB5uR4foctxLARlP4JLLg6FqvJkhIduvJ2EwC/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Nutritionix
Open Cascade and ask: "Using Nutritionix, help me...". 2 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"nutritionix": {
"url": "https://edge.vinkius.com/vk_preview_qd2EB5uR4foctxLARlP4JLLg6FqvJkhIduvJ2EwC/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Nutritionix
Ask Cline: "Using Nutritionix, help me...". 2 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add nutritionix --transport http "https://edge.vinkius.com/vk_preview_qd2EB5uR4foctxLARlP4JLLg6FqvJkhIduvJ2EwC/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Nutritionix
Ask Claude: "Using Nutritionix, show me...". 2 tools are ready
Where the request belongs
Work Nutritionix can move forward.
This is for people who need accurate nutrition data without the headache of manual entry. It's for health professionals who need precision and fitness enthusiasts who want to track every gram of protein or carb.
Fitness Coach
They use this to quickly generate meal plans and check client intake without manual searching.
Dietitian
They use it to provide instant nutritional facts for patients with complex dietary restrictions.
Health Tech Developer
They use it to build more accurate calorie tracking features into their own apps.
Busy Professional
They use it to log meals on the go without having to open a separate tracking app.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsAPI Ninjas Nutrition
Fast, NLP-powered food nutrition analysis. type any food description and get instant calorie, protein, fat, carb, fiber, and sugar data.
USDA FoodData Central
Access the gold standard in nutrition data. 300,000+ foods with scientific-grade nutrient profiles from the U.S. Department of Agriculture.
FatSecret
Access millions of food items with calorie tracking, macro data, and serving sizes from the FatSecret platform used by 30M+ users worldwide.
Edamam
Manage food and nutrition. audit recipes and ingredients via AI.
Nutritional Estimator
Calculate total and per-serving macro and calorie content of recipes using weight-based nutritional density data.
ReciPal
Manage food recipes. audit ingredients and nutrition via AI.
Bring your own AI
Change the model, client or framework. Keep Nutritionix connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Nutritionix.
The practical details behind the request, access and result.
Can the Nutritionix MCP handle specific restaurant orders?
Yes, it has data for national and regional chains, so your agent can find exact items from places like Starbucks or major fast food spots.
Does the Nutritionix MCP work for home-cooked meals?
It uses a natural language engine that parses descriptions like "grilled salmon with brown rice" to give you a breakdown based on the ingredients you mention.
What kind of nutrients does the Nutritionix MCP provide?
It goes beyond calories to give you protein, fat, carbs, fiber, sugar, sodium, and cholesterol for every meal it analyzes.
Is the Nutritionix MCP accurate for different portion sizes?
Yes, because it uses NLP, you can specify "3 slices of pizza" or "200g of salmon" and it will calculate the nutrition for that specific amount.
Do I need a separate app to use the Nutritionix MCP?
No, you just connect it to your AI client through Vinkius and talk to your agent normally. It does all the work in the background.
Can I use the Nutritionix MCP to track my daily macro goals?
Your agent can use the data from this Connector to sum up your daily intake and tell you how many grams of protein or carbs you have left for the day.
How accurate is the NLP food analysis?
Nutritionix's NLP engine is used by major fitness and health apps globally. It can parse complex meal descriptions including quantities, cooking methods, and brand names with high accuracy, backed by a verified database of 1M+ food items.
Can it recognize branded foods or restaurant items?
Yes, Nutritionix excels at this. If you type '1 Big Mac and a medium fries from McDonald's', it will correctly map these to specific branded items in its database.
Does it track micronutrients?
Yes, in addition to macros (proteins, fats, carbs), it returns data on dietary fiber, sugars, sodium, cholesterol, and potassium for an incredibly comprehensive nutritional profile.
One connection away
Give your agent a direct line to Nutritionix.
Connect Nutritionix once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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