experiment-java-mcp-server
The project is a Spring Boot application that provides weather information using the Model Context Protocol (MCP). It offers mock weather data for AI assistants and is designed for easy setup and integration.
Overview
This project implements a weather service that provides mock weather data for different locations using the Model Context Protocol (MCP). It is designed as a Spring Boot application and integrates seamlessly with AI assistants.
Features
- Get current weather information for any location
- Mock weather data generation with realistic parameters
- MCP integration for AI assistant compatibility
- Spring Boot application with easy setup and configuration
Technologies
- Java 17
- Spring Boot 3.2.0
- Spring AI MCP Server
- Maven
- Lombok
Prerequisites
- Java 17 or higher
- Maven 3.6 or higher
- Node.js and npm (for MCP Inspector)
Installation
- Clone the repository.
- Build the project using Maven.
Running the Application
Start the Spring Boot application using Maven. The default port is 8080.
Configuring MCP in IDE Tools
Configure the MCP server using the provided SSE endpoint for integration with AI assistants.
Using the MCP Inspector
Test and debug the MCP server with the MCP Inspector tool by connecting using the provided SSE endpoint.
API Documentation
Weather Service
Get Weather
- Tool Name:
getWeather - Parameters:
location(String)
Contributing
Contributions are welcome through Pull Requests.
License
Licensed under the MIT License.