How To Cook
Empowers AI assistants to act as a personal chef, recommending recipes and planning meals based on a comprehensive cooking guide.
About
This MCP (Model Context Protocol) server transforms AI assistants into personal culinary advisors, addressing the common challenge of 'what to eat today.' It provides structured access to a vast collection of recipes, sourced from the 'Anduin2017/HowToCook' guide. Users can leverage this tool via compatible AI clients like Claude Desktop or Cursor to search for recipes by category, retrieve detailed cooking instructions for specific dishes, or request intelligent meal plans tailored to dietary restrictions and group size. It streamlines the process of meal preparation and decision-making by integrating culinary intelligence directly into AI workflows.
Key Features
- Query all available recipes from the database
- Filter recipes by categories such as seafood, breakfast, or main courses
- Retrieve full details for any specified recipe, including ingredients and steps
- Generate personalized weekly meal plans based on allergies, dietary restrictions, and number of diners
- Receive instant daily menu recommendations for a specified number of people
- 616 GitHub stars
Use Cases
- Receiving daily meal suggestions from an AI assistant to overcome decision fatigue
- Planning a full week's worth of meals, customized for dietary needs and family size
- Quickly finding specific recipes or browsing dishes by food category through an AI interface