Running MCP-Based Agents (Clients & Servers) on AWS

@Tool(description = "schedule an appointment to adopt a dog")
String scheduleDogAdoptionAppointment(
@ToolParam(description = "the id of the dog") int id,
@ToolParam(description = "the name of the dog") String name) {

... call private scheduling system and return available times
}

@SpringBootApplication
public class SchedulingApplication {

public static void main(String[] args) {
SpringApplication.run(SchedulingApplication.class, args);
}

@Bean
ToolCallbackProvider serviceToolCallbackProvider(
DogAdoptionAppointmentScheduler scheduler) {
return MethodToolCallbackProvider.builder()
.toolObjects(scheduler)
.build();
}

}

@Service
class DogAdoptionAppointmentScheduler {

@Tool(description = "schedule an appointment to adopt a dog" +
" at the Pooch Palace dog adoption agency")
String scheduleDogAdoptionAppointment(
@ToolParam(description = "the id of the dog") int id,
@ToolParam(description = "the name of the dog") String name) {
// demo scheduling response (but could use backing data / services on AWS)
var instant = Instant.now().plus(3, ChronoUnit.DAYS);
System.out.println("confirming the appointment: " + instant + " for dog " + id + " named " + name);
return instant.toString();
}
}

<!-- the BOM for Spring AI -->
<dependencyManagement>
<dependencies>
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-bom</artifactId>
<version>1.0.0-M6</version>
<type>pom</type>
<scope>import</scope>
</dependency>
</dependencies>
</dependencyManagement>
<dependencies>
<!-- The Spring Webflux MCP Server -->
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-mcp-server-webflux-spring-boot-starter</artifactId>
</dependency>
</dependencies>

<!-- the BOM for Spring AI -->
<dependencyManagement>
<dependencies>
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-bom</artifactId>
<version>1.0.0-M6</version>
<type>pom</type>
<scope>import</scope>
</dependency>
</dependencies>
</dependencyManagement>
<dependencies>
<!-- enable a REST server -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<!-- MCP Client -->
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-mcp-client-spring-boot-starter</artifactId>
</dependency>
<!-- Amazon Bedrock Converse support in Spring AI -->
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-bedrock-converse-spring-boot-starter</artifactId>
</dependency>
<!-- for an automatic health check URL -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-actuator</artifactId>
</dependency>
</dependencies>

spring.ai.bedrock.converse.chat.options.model=amazon.nova-pro-v1:0
spring.ai.bedrock.converse.chat.enabled=true

@RestController
class ConversationalController {

private final ChatClient chatClient;

ConversationalController(
@Value("${scheduling-service.url}") String schedulingUrl,
ChatClient.Builder builder) {

var mcpClient = McpClient
.sync(new HttpClientSseClientTransport(url))
.build();

mcpClient.initialize();

this.chatClient = builder
.defaultTools(new SyncMcpToolCallbackProvider(mcpClient))
.build();
}

@PostMapping("/inquire")
String inquire(@RequestParam String question) {
return chatClient
.prompt()
.user(question)
.call()
.content();
}
}

curl -X POST --location "http://myecsserver/inquire" \
-H "Content-Type: application/x-www-form-urlencoded" \
-d 'question=when can i schedule to adopt Prancer'