edamam-nutrition-analysis

edamam-nutrition-analysis

4.0

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.

The `edamam-nutrition-analysis` server offers functionalities to extract and compute nutritional information from food recipes and text inputs. It provides real-time analysis, including ingredient extraction, quantity adjustment for cooking processes, and classification of recipes for cuisine, meal, and dish types. The server is ideal for developers, startups, and non-profits seeking a comprehensive solution for recipe nutrition analysis and text analysis.

Features

  • Real-Time Recipe Analysis: Analyze food recipes with entity extraction, measure and quantity computation, and nutrition calculation, adjusting for cooking processes.
  • Text Entity Extraction: Extract food entities with measures and quantities from unstructured text, suitable for chatbots transcribing natural speech to text.
  • Detailed Nutrition Data: Provides comprehensive nutrition data output for each ingredient or text string, covering 28 macro and micronutrients.
  • Diet and Health Labeling: Automatically generate diet, allergy, and health labels based on the ingredients.
  • Cost-Effective: Free access for developers, startups, and non-profits with a basic plan; enterprise customers can opt for low-cost licensing.

Tools

  1. 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

  2. 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