Weather MCP Server

Weather MCP Server

A Spring Boot application that provides weather information through the Model Context Protocol (MCP). This project demonstrates how to create an MCP server using Spring AI to expose weather data as a tool that can be used by AI assistants.

📋 Table of Contents

• Overview
• Features
• Technologies
• Project Structure
• Prerequisites
• Installation
• Running the Application
• Using the MCP Inspector
• API Documentation
• Contributing
• License

🔍 Overview

This project implements a weather service that provides mock weather data for different locations. It exposes this functionality through the Model Context Protocol (MCP), allowing AI assistants to retrieve weather information for specified locations.

✨ 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

📁 Project Structure

src/
├── main/
│   ├── java/
│   │   └── com/
│   │       └── gox/
│   │           └── weather/
│   │               ├── WeatherMcpApplication.java    # Main application class
│   │               ├── model/
│   │               │   └── WeatherData.java          # Weather data model
│   │               └── service/
│   │                   └── WeatherService.java       # Weather service with MCP tool
│   └── resources/
│       └── application.properties                    # Application configuration

📋 Prerequisites

• Java 17 or higher
• Maven 3.6 or higher
• Node.js and npm (for MCP Inspector)

🚀 Installation

1. Clone the repository:

   git clone https://github.com/yourusername/weather-mcp-java.git
   cd weather-mcp-java
   

2. Build the project:

   mvn clean install
   

🏃‍♂️ Running the Application

Start the Spring Boot application:

mvn spring-boot:run

The application will start on port 8080 by default (configurable in application.properties).

⚙️ Configuring MCP in IDE Tools

To use this MCP server with AI assistants in IDE tools like Cursor or Cline:

1. Open your IDE's settings for AI assistant configuration
2. Look for MCP or Model Context Protocol settings
3. Add a new MCP server with the following SSE endpoint:

   http://localhost:8089/sse
   

4. Save the settings and restart the AI assistant if necessary
5. The weather tool should now be available to your AI assistant

Note: Make sure the port (8089) matches the port configured in your application.properties file.

🔧 Using the MCP Inspector

The MCP Inspector is a tool that allows you to test and debug your MCP server (If you want to debug MCP server). To use it:

1. Install and run the MCP Inspector:

   npx @modelcontextprotocol/inspector
   

2. Open the MCP Inspector in your browser:

   http://127.0.0.1:6274/#tools
   

3. Connect to your MCP server by entering the SSE endpoint:

   http://localhost:8080/mcp/sse
   

   Note: The port (8080) should match the port your Spring Boot application is running on.

4. Once connected, you can test the getWeather tool by providing a location parameter.

📚 API Documentation

Weather Service

The Weather Service provides the following functionality:

Get Weather

Returns weather information for a specified location.

Tool Name: getWeather

Parameters:

• location (String): The name of the location to get weather for (e.g., "New York", "London", "Tokyo")

Response:

{
  "location": "New York",
  "temperature": 22.5,
  "condition": "Partly Cloudy",
  "humidity": 65,
  "windSpeed": 12.3
}

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.