Starbucks
Develop a toolset that includes menu category query, menu item query, and nearby store location functions
rating : 2 points
downloads : 3.6K
What is Model Context Protocol (MCP)?
MCP is a server for managing and optimizing model contexts. It allows users to easily obtain menu categories, menu items for specific categories, and supports finding nearby store locations. MCP ensures the best performance of models in different scenarios through an efficient protocol.How to use MCP?
First, install the MCP server, and then configure the required API interfaces. You can use the provided tools to query menu categories, get menu items under specific categories, and search for nearby stores.Applicable Scenarios
MCP is suitable for application scenarios that require dynamic loading of model contexts, such as restaurant ordering systems and intelligent customer service platforms.Main Features
Get Menu Categories
This function allows you to quickly obtain all available menu categories.
Get Menu Items
Get all menu items for a specified category ID.
Find Nearby Stores
Supports finding nearby stores based on conditions such as distance, address, and business hours.
Advantages
Efficiently handle large-scale model context data
Support multiple query methods to meet diverse needs
Easy to integrate into existing systems
Limitations
Has a certain dependence on the network environment
May require additional optimization under high concurrency
How to Use
Install the MCP Server
Download and install the latest version of the MCP server.
Configure API Interfaces
Edit the configuration file to enable the required functional modules.
Start the Server
Run the command to start the MCP service.
Usage Examples
Get Menu Categories
Call the API to get all menu categories of a restaurant.
Find Nearby Stores
Find nearby restaurants based on the current address.
Frequently Asked Questions
How to install the MCP server?
Does MCP support multiple languages?
What parameters are required when finding nearby stores?
Related Resources
MCP Official Documentation
Detailed installation and usage guide
GitHub Code Repository
Source code and contribution guide
Tutorial Video
Quick start video

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