Nutritionix MCP Server
The Nutritionix MCP Server is an API tool based on the MCP protocol, used to integrate Nutritionix's nutrition data and exercise calorie estimation functions into AI agents, supporting the query of food nutrition and exercise consumption through natural language.
rating : 2 points
downloads : 7
What is the Nutritionix MCP Server?
This is an intelligent connector that allows AI assistants to query food nutrition information and exercise consumption data like humans. It converts complex API requests into natural language interactions, as if equipping AI with 'nutritional senses'How to use this service?
Simply configure the server information on a supported AI platform (such as Claude), and the AI can automatically gain the ability to query nutrition data. You don't need to deal with technical details directlyApplicable scenarios
Scenarios that require automated processing of nutrition data, such as health management apps, intelligent diet logs, exercise plan generation, and nutrition education toolsMain functions
Intelligent food searchSupport the query of nutrition data for common foods and branded products, such as 'Starbucks grande caramel macchiato'
Dietary nutrition analysisAutomatically analyze a complete meal described in natural language, such as 'had 2 fried eggs and whole wheat toast for breakfast'
Exercise calorie estimationCalculate calorie consumption based on exercise type, duration, and weight, supporting more than 500 types of exercise
Advantages and limitations
Advantages
Add nutritional capabilities to AI without development
Process natural language input, reducing the usage threshold
Based on the authoritative Nutritionix database
Limitations
Require a valid Nutritionix API key
Data for some regional foods may be incomplete
Exercise consumption calculation is based on average values and there are individual differences
How to use
Get API credentials
Register a developer account on the Nutritionix official website and create an app to obtain the App ID and App Key
Configure the AI platform
Add the server information to the configuration file of the AI platform you are using (such as Claude)
Start using
Directly ask the AI nutrition-related questions, such as 'Analyze my lunch today: chicken breast salad and a glass of orange juice'
Usage examples
Diet log analysisThe AI assistant automatically records and analyzes the user's daily diet description
Fitness plan assistanceRecommend exercise plans and calculate consumption based on the user's goals
Frequently asked questions
Is it necessary to pay for use?
Does it support Chinese food queries?
What is the data update frequency?
Related resources
Nutritionix official website
Official API documentation and developer resources
GitHub repository
Project source code and contribution guidelines
MCP protocol description
Official documentation of the Model Context Protocol
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