aigeon-ai/edamam-nutrition-analysis
edamam-nutrition-analysis is hosted online, so all tools can be tested directly either in theInspector tabor in theOnline Client.
If you are the rightful owner of edamam-nutrition-analysis and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
The Edamam Nutrition Analysis MCP Server provides tools for analyzing nutritional data using natural language processing and semantically structured data.
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Tools
Functions exposed to the LLM to take actions
api_nutrition_data
This returns the nutritional analysis for the specified food text by extracting information from a short unstructured food text (usually an ingredient line and returns the following structured data for the text: quantity, measure and food,) and if available: diet, health and allergen labels for the text. With the built in food logging feature, this allows for change of context. For example, “rice” will normally be matched to raw rice while, with the food logging feature on, it will match to ready to eat ‘cooked rice.’ Access Point: https://api.edamam.com/api/nutrition-data
api_nutrition_details
This returns the nutritional information based on a POST request of the recipe content. The POST request submits the recipe content, specifically the recipe title and ingredient list. The response the API returns, will contain the nutritional analysis for the recipe based on the information provided. Access Point: https://api.edamam.com/api/nutrition-details
Prompts
Interactive templates invoked by user choice
No prompts
Resources
Contextual data attached and managed by the client