Restaurant Ordering API
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Simulates customer orders from a restaurant menu, allowing for real-time status tracking and integration with MCP systems.
Acerca de
This Python-based server, built with Django and Django REST Framework, provides a RESTful API for simulating restaurant orders. It's designed to integrate seamlessly with Model-Context-Protocol (MCP) architectures, making it ideal for testing and development within larger AI and automation pipelines. The server allows users to create, track, update, and delete orders, as well as retrieve recent order history. It serves as a dummy restaurant ordering system where customers can order, track status, and view their order history, making it perfect for anyone needing a plug-and-play solution for MCP integrations.
Características Principales
- 0 GitHub stars
- Ability to view recent orders based on time frame
- Fully RESTful API design
- Easy integration with MCP systems
- Includes example cURL commands for quick testing
- Real-time order status tracking (success/failed)
Casos de Uso
- Building AI-powered food court assistants
- Simulating customer order workflows
- Testing and development of MCP integrations
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