Playable Locations Api
This project is an OpenAPI-based MCP server for handling requests from the Google Playable Locations API, supporting automatic generation and various development tools.
rating : 2 points
downloads : 4.1K
What is an MCP server?
An MCP server is a service built based on the OpenAPI specification. It allows developers to interact with models through simple interfaces. This service can handle various requests and return structured responses.How to use an MCP server?
To use an MCP server, you need to install the necessary dependencies and start the service according to the provided guide. You can choose different transmission modes (such as stdio, sse, etc.) to suit your needs.Applicable scenarios
MCP servers are suitable for applications that require rapid integration of model functions, such as data analysis, automated task processing, and real-time response systems.Main features
Support for multiple transmission modes
The MCP server supports multiple transmission modes such as stdio, sse, and streamable-http to meet the needs of different application scenarios.
Easy to configure
You can easily adjust the server settings through environment variables or a JSON configuration file.
Comprehensive test support
The built-in pytest testing framework ensures the stability and reliability of the service.
Advantages
Supports multiple transmission modes, offering high flexibility.
Easy to configure and deploy, suitable for rapid development.
Provides a complete test suite to ensure service quality.
Limitations
Requires a certain technical foundation for configuration and debugging.
May require additional custom development for complex scenarios.
Depends on the availability and stability of external APIs.
How to use
Clone the repository
Clone the MCP server code repository from GitHub to your local computer.
Install dependencies
Use pip or uv to install the required dependency packages for the project.
Start the server
Run the main script to start the MCP server and choose an appropriate transmission mode.
Usage examples
Data query service
Implement database query operations through the MCP server to quickly obtain the required data.
Real-time data processing
Utilize the MCP server to process real-time data streams and improve data processing efficiency.
Frequently Asked Questions
What operating environment does the MCP server require?
How can I modify the server configuration?
What transmission modes does the MCP server support?
Related resources
Official documentation
Documentation for AG2's MCP builder, providing detailed usage instructions.
GitHub repository
The code repository for the MCP server, containing source code and examples.
Tutorial video
A tutorial video on how to use the MCP server.

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