モデルコンテキストプロトコル入門 (MCP)

@Service
public class WeatherService {

    @McpTool(description = "Get current temperature for a location")
    public String getTemperature(
            @McpToolParam(description = "City name", required = true) String city) {
        return String.format("Current temperature in %s: 22°C", city);
    }
}

<dependency>
    <groupId>org.springframework.ai</groupId>
    <artifactId>spring-ai-starter-mcp-server-webmvc</artifactId>
</dependency>

spring.ai.mcp.server.protocol=STREAMABLE

@Bean
public CommandLineRunner demo(ChatClient chatClient, ToolCallbackProvider mcpTools) {
    return args -> {
        String response = chatClient
            .prompt("What's the weather like in Paris?")
            .toolCallbacks(mcpTools)
            .call()
            .content();
        System.out.println(response);
    };
}

<dependency>
  <groupId>org.springframework.ai</groupId>
  <artifactId>spring-ai-starter-mcp-client</artifactId>
</dependency>

spring:
  ai:
    mcp:
      client:
        streamable-http:
          connections:
            weather-server:
              url: http://localhost:8080