Spring AI MCP Weather Server Sample with WebMVC Starter

@alexandredavi

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Basic information

About Spring AI MCP Weather Server Sample with WebMVC Starter

No overview available yet

Spring AI MCP Weather Server Sample with WebMVC Starter config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

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Spring AI MCP Weather Server Sample with WebMVC Starter tools

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Overview

What is Spring AI MCP Weather Server Sample with WebMVC Starter?

This sample project demonstrates how to create an MCP server using the Spring AI MCP Server Boot Starter with WebMVC transport. It implements a weather service that exposes tools for retrieving weather information using the National Weather Service API.

How to use Spring AI MCP Weather Server Sample with WebMVC Starter?

Build the project using ./mvnw clean install -DskipTests. Run the server in default WebMVC SSE mode with java -jar target/mcp-weather-starter-webmvc-server-0.0.1-SNAPSHOT.jar or enable STDIO transport by setting the appropriate properties. Configure server identification, transport, and notification settings via application.properties.

Key features of Spring AI MCP Weather Server Sample with WebMVC Starter

Integration with spring-ai-mcp-server-webmvc-spring-boot-starter
Supports both SSE (Server-Sent Events) and STDIO transports
Automatic tool registration using Spring AI’s @Tool annotation
Two weather tools: forecast by location and alerts by US state
Auto-configured SSE endpoints with WebMVC transport
Optional change notifications for resources, tools, and prompts

Use cases of Spring AI MCP Weather Server Sample with WebMVC Starter

Providing weather forecast data to AI assistants via MCP protocol
Retrieving weather alerts for a specific US state
Demonstrating how to build an MCP server with Spring Boot and WebMVC
Testing MCP client-server interactions with both STDIO and SSE transports

Frequently asked questions

How do I run the server in STDIO mode instead of SSE?

Set the properties `spring.ai.mcp.server.stdio=true` and `spring.main.web-application-type=none` when starting the JAR.

What tools does the server provide?

Two tools: `getWeatherForecastByLocation` (latitude/longitude) and `getAlerts` (two-letter US state code).

What is the runtime dependency to use this server?

The project requires the `spring-ai-mcp-server-webmvc-spring-boot-starter` dependency, which includes `spring-boot-starter-web` and `mcp-spring-webmvc`.

Where does the weather data come from?

The server retrieves weather information from the National Weather Service API (weather.gov).

How can I connect a client to this server?

You can connect via SSE using `HttpClientSseClientTransport` or via STDIO using `StdioClientTransport`. The sample also provides boot-starter client configurations for both transports.

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