Provides tools to interact with the strava.cz meal ordering system, enabling users to view menus, check and place orders, and manage their canteen account.
Provides real-time access to menus from all six MIT Bon Appétit dining halls. It enables users to query daily or weekly schedules and filter options by specific dietary requirements such as vegan, halal, or gluten-free.
Helps users decide what to eat by randomly selecting meals from a database of 100+ options or a custom list using an interactive spinning wheel widget. It supports cuisine filtering and provides an engaging visual interface to resolve mealtime indecision.
Enables ordering and managing Forkable corporate lunches from any MCP client, including viewing menus, setting/skipping/confirming meals, and getting personalized recommendations.
Enables AI assistants to interact with the IIIT-H mess dining and marketplace systems through resources, tools, and prompts for meal planning, billing analysis, and registration modifications.
Enables menu browsing, recommendation requests, and shopping cart management through a Model Context Protocol interface. Users can interact with food order services to query items and handle order additions or removals via natural language.