Spring AI MCP Weather STDIO Server

A Spring Boot starter project demonstrating how to build a Model Context Protocol (MCP) server that provides weather-related tools using the National Weather Service (weather.gov) API. This project showcases the Spring AI MCP Server Boot Starter capabilities with STDIO transport implementation.

For more information, see the MCP Server Boot Starter reference documentation.

Prerequisites

• Java 17 or later
• Maven 3.6 or later
• Understanding of Spring Boot and Spring AI concepts
• (Optional) Claude Desktop for AI assistant integration

About Spring AI MCP Server Boot Starter

The spring-ai-mcp-server-spring-boot-starter provides:

• Automatic configuration of MCP server components
• Support for both synchronous and asynchronous operation modes
• STDIO transport layer implementation
• Flexible tool registration through Spring beans
• Change notification capabilities

Project Structure

About Spring AI MCP Server Boot Starter

The spring-ai-mcp-server-spring-boot-starter provides:

• Automatic configuration of MCP server components
• Support for both synchronous and asynchronous operation modes
• STDIO transport layer implementation
• Flexible tool registration through Spring beans
• Change notification capabilities

Project Structure

src/
├── main/
│   ├── java/
│   │   └── org/springframework/ai/mcp/sample/server/
│   │       ├── McpServerApplication.java    # Main application class with tool registration
│   │       └── WeatherService.java          # Weather service implementation with MCP tools
│   └── resources/
│       └── application.properties           # Server and transport configuration
└── test/
    └── java/
        └── org/springframework/ai/mcp/sample/client/
            └── ClientStdio.java             # Test client implementation

Building and Running

The server uses STDIO transport mode and is typically started automatically by the client. To build the server jar:

./mvnw clean install -DskipTests

Tool Implementation

The project demonstrates how to implement and register MCP tools using Spring's dependency injection and auto-configuration:

@Service
public class WeatherService {
    @Tool(description = "Get weather forecast for a specific latitude/longitude")
    public String getWeatherForecastBrazil(
        double latitude,   // Latitude coordinate
        double longitude   // Longitude coordinate
    ) {
        // Implementation
    }

    @Tool(description = "Get weather alerts for a US state")
    public String getAlerts(
        String state  // Two-letter US state code (e.g., CA, NY)
    ) {
        // Implementation
    }
}

@SpringBootApplication
public class McpServerApplication {
    @Bean
    public List<ToolCallback> weatherTools(WeatherService weatherService) {
        return ToolCallbacks.from(weatherService);
    }
}

The auto-configuration automatically registers these tools with the MCP server. You can have multiple beans producing lists of ToolCallbacks, and the auto-configuration will merge them.

Available Tools

1. Weather Forecast Tool

@Tool(description = "Get weather forecast for a specific latitude/longitude")
public String getWeatherForecastBrazil(
    double latitude,   // Latitude coordinate
    double longitude   // Longitude coordinate
) {
    // Returns detailed forecast including:
    // - Temperature and unit
    // - Wind speed and direction
    // - Detailed forecast description
}

// Example usage:
CallToolResult forecast = client.callTool(
    new CallToolRequest("getWeatherForecastBrazil",
        Map.of(
            "latitude", 47.6062,    // Seattle coordinates
            "longitude", -122.3321
        )
    )
);

2. Weather Alerts Tool

@Tool(description = "Get weather alerts for a US state")
public String getAlerts(
    String state  // Two-letter US st

... [View full README on GitHub](https://github.com/cloud4java/my-mcp-stdio-server#readme)