Partner – Microsoft – NPI EA (cat = Baeldung)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, visit the documentation page.

You can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Microsoft – NPI EA (cat= Spring Boot)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, you can get started over on the documentation page.

And, you can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Orkes – NPI EA (cat=Spring)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

Try a 14-Day Free Trial of Orkes Conductor today.

Partner – Orkes – NPI EA (tag=Microservices)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

Try a 14-Day Free Trial of Orkes Conductor today.

eBook – Guide Spring Cloud – NPI EA (cat=Spring Cloud)
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Let's get started with a Microservice Architecture with Spring Cloud:

>> Join Pro and download the eBook

eBook – Mockito – NPI EA (tag = Mockito)
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Mocking is an essential part of unit testing, and the Mockito library makes it easy to write clean and intuitive unit tests for your Java code.

Get started with mocking and improve your application tests using our Mockito guide:

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eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.

Get started with understanding multi-threaded applications with our Java Concurrency guide:

>> Download the eBook

eBook – Reactive – NPI EA (cat=Reactive)
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Spring 5 added support for reactive programming with the Spring WebFlux module, which has been improved upon ever since. Get started with the Reactor project basics and reactive programming in Spring Boot:

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eBook – Java Streams – NPI EA (cat=Java Streams)
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Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.

But these can also be overused and fall into some common pitfalls.

To get a better understanding on how Streams work and how to combine them with other language features, check out our guide to Java Streams:

>> Join Pro and download the eBook

eBook – Jackson – NPI EA (cat=Jackson)
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Do JSON right with Jackson

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eBook – HTTP Client – NPI EA (cat=Http Client-Side)
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Get the most out of the Apache HTTP Client

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eBook – Maven – NPI EA (cat = Maven)
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Get Started with Apache Maven:

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eBook – Persistence – NPI EA (cat=Persistence)
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Working on getting your persistence layer right with Spring?

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eBook – RwS – NPI EA (cat=Spring MVC)
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Building a REST API with Spring?

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Course – LS – NPI EA (cat=Jackson)
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Get started with Spring and Spring Boot, through the Learn Spring course:

>> LEARN SPRING
Course – RWSB – NPI EA (cat=REST)
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Explore Spring Boot 3 and Spring 6 in-depth through building a full REST API with the framework:

>> The New “REST With Spring Boot”

Course – LSS – NPI EA (cat=Spring Security)
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Yes, Spring Security can be complex, from the more advanced functionality within the Core to the deep OAuth support in the framework.

I built the security material as two full courses - Core and OAuth, to get practical with these more complex scenarios. We explore when and how to use each feature and code through it on the backing project.

You can explore the course here:

>> Learn Spring Security

Course – LSD – NPI EA (tag=Spring Data JPA)
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Spring Data JPA is a great way to handle the complexity of JPA with the powerful simplicity of Spring Boot.

Get started with Spring Data JPA through the guided reference course:

>> CHECK OUT THE COURSE

Partner – MongoDB – NPI EA (tag=MongoDB)
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Traditional keyword-based search methods rely on exact word matches, often leading to irrelevant results depending on the user's phrasing.

By comparison, using a vector store allows us to represent the data as vector embeddings, based on meaningful relationships. We can then compare the meaning of the user’s query to the stored content, and retrieve more relevant, context-aware results.

Explore how to build an intelligent chatbot using MongoDB Atlas, Langchain4j and Spring Boot:

>> Building an AI Chatbot in Java With Langchain4j and MongoDB Atlas

Partner – LambdaTest – NPI EA (cat=Testing)
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Accessibility testing is a crucial aspect to ensure that your application is usable for everyone and meets accessibility standards that are required in many countries.

By automating these tests, teams can quickly detect issues related to screen reader compatibility, keyboard navigation, color contrast, and other aspects that could pose a barrier to using the software effectively for people with disabilities.

Learn how to automate accessibility testing with Selenium and the LambdaTest cloud-based testing platform that lets developers and testers perform accessibility automation on over 3000+ real environments:

Automated Accessibility Testing With Selenium

Course – LSS – NPI (cat=Spring Security)
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If you're working on a Spring Security (and especially an OAuth) implementation, definitely have a look at the Learn Spring Security course:

>> LEARN SPRING SECURITY

 1. Introduction

MCP (Model Context Protocol) is an open standard, introduced by Anthropic, designed to let AI models interact with external tools, data sources, and services in a structured way. An MCP server is a lightweight backend application that exposes specific capabilities via the MCP interface, such as accessing files, querying databases, or calling APIs.

To make MCP servers production-ready, we may consider separating them into independent applications. This helps us scale and maintain them individually. However, because these servers may handle sensitive tasks, we need to secure their endpoints and limit access to trusted clients.

That’s where OAuth2 comes in. OAuth2 is a well-known protocol for secure, token-based access delegation to APIs. Instead of managing user credentials directly, our MCP server trusts validated access tokens issued by a central authorization server. We can use OAuth2 to grant or restrict client applications’ access to specific MCP capabilities based on scopes and roles.

In this tutorial, we’ll learn how to secure an MCP server using OAuth2 in a Spring AI application.

2. Dependencies

First, let’s add the Spring AI MCP server dependency that we’ll use to obtain the HTTP and SSE transport and core MCP support:

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

Now, let’s add the OAuth Authorization server dependency. We’ll use it to issue the OAuth2 access tokens:

<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-oauth2-authorization-server</artifactId>
    <version>3.3.3</version>
</dependency>

Finally, let’s add Spring Security’s resource-server dependency:

<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-oauth2-resource-server</artifactId>
    <version>3.4.2</version>
</dependency>

With this dependency, we’ll ensure our MCP endpoints reject invalid or missing Bearer tokens.

3. Creating a Stocks Info MCP Server

Now, let’s implement a simple MCP server. Inside it, we’ll have a tool that returns stock prices for a provided symbol.

Let’s create a StockInformationHolder class:

public class StockInformationHolder {
    @Tool(description = "Get stock price for a company symbol")
    public String getStockPrice(@ToolParam String symbol) {
        if ("AAPL".equalsIgnoreCase(symbol)) {
            return "AAPL: $150.00";
        } else if ("GOOGL".equalsIgnoreCase(symbol)) {
            return "GOOGL: $2800.00";
        } else {
            return symbol + ": Data not available";
        }
    }
}

Here, we have the getStockPrice() method that we use to return the stock prices for known companies and the default response for the symbols we don’t know about. The method is marked by the @Tool annotation, so it’ll be used to build the tool definition. Additionally, we’ve marked the symbol parameter by @ToolParam annotation to ensure it’ll be considered during the tool definition-building process.

Next, let’s create the McpServerConfiguration class:

@Configuration
public class McpServerConfiguration {

    @Bean
    public ToolCallbackProvider stockTools() {
        return MethodToolCallbackProvider
          .builder()
          .toolObjects(new StockInformationHolder())
          .build();
    }
}

Here, we’ve provided the ToolCallbackProvider bean. We build it by attaching the StockInformationHolder class. Now, we already have a ready-to-use MCP server and can start our application and open the SSE connection by calling the GET /sse endpoint. To send messages to our MCP server, let’s use the POST /mcp/message endpoint with the JSON body:

{
  "jsonrpc": "2.0",
  "id": "1",
  "method": "tools/call",
  "params": {
    "name": "getStockPrice",
    "arguments": {
      "arg0": "AAPL"
    }
  }
}

We’ve specified “tools/call” for the method, indicating that we want to invoke our tool’s functionality. In the params object, we’re sending parameters to the specified method, including the tool name, which defaults to the annotated method name, along with the arguments map.

4. Adding the Security Configuration

Now, let’s secure our MCP server. First, we’ll configure our authorization server using the application.yml file:

spring:
  security:
    oauth2:
      authorizationserver:
        client:
          oidc-client:
            registration:
              client-id: mcp-client
              client-secret: "{noop}secret"
              client-authentication-methods: client_secret_basic
              authorization-grant-types: client_credentials

We’ve specified the unique identifier for the client application requesting tokens. For the shared secret, we used {noop}secret, which is suitable only for demo purposes. The {noop} prefix tells Spring not to hash the secret, making it useful for testing scenarios.

Next, let’s create the McpServerSecurityConfiguration class:

@Configuration
@EnableWebSecurity
public class McpServerSecurityConfiguration {
    @Bean
    public SecurityFilterChain filterChain(HttpSecurity http) throws Exception {
        return http
          .authorizeHttpRequests(auth -> auth
            .requestMatchers("/mcp/**").authenticated()
            .requestMatchers("/sse").authenticated()
            .anyRequest().permitAll())
          .with(OAuth2AuthorizationServerConfigurer.authorizationServer(), Customizer.withDefaults())
          .oauth2ResourceServer(oauth2 -> oauth2.jwt(Customizer.withDefaults()))
          .csrf(CsrfConfigurer::disable)
          .cors(Customizer.withDefaults())
          .build();
    }
}

Here, we permitted all the authorized requests to the /mcp and /sse endpoints. All the other endpoints will remain open. This approach simplifies access to the authentication endpoint. However, in a live application, we would restrict access more carefully.

We use the authorizationServer() and oauth2ResourceServer() methods to configure the application. This setup indicates that the application provides access token endpoints. It also acts as a resource server, validating incoming requests using JWT tokens.

5. Test the Secured MCP Server

Now, we need to test our secured MCP server. Let’s create the McpServerOAuth2LiveTest class:

@SpringBootTest(webEnvironment = SpringBootTest.WebEnvironment.RANDOM_PORT)
class McpServerOAuth2LiveTest {

    private static final Logger log = LoggerFactory.getLogger(McpServerOAuth2LiveTest.class);

    @LocalServerPort
    private int port;

    private WebClient webClient;

    @BeforeEach
    void setup() {
        webClient = WebClient.create("http://localhost:" + port);
    }
}

We start our application on a random port and initialize the WebClient. Then, let’s call the /sse endpoint to open a server-sent events connection:

Flux<String> eventStream = webClient.get()
  .uri("/sse")
  .header("Authorization", obtainAccessToken())
  .accept(MediaType.TEXT_EVENT_STREAM)
  .retrieve()
  .bodyToFlux(String.class);

eventStream.subscribe(
    data -> {
        log.info("Response received: {}", data);
        if (!isRequestMessage(data)) {
            assertThat(data).containsSequence("AAPL", "$150");
        }
    },
    error -> log.error("Stream error: {}", error.getMessage()),
    () -> log.info("Stream completed")
);

We’ve asserted that the response messages contain the expected data. Next, let’s send a request to the /mcp/message endpoint:

Flux<String> sendMessage = webClient.post()
  .uri("/mcp/message")
  .header("Authorization", obtainAccessToken())
  .contentType(MediaType.APPLICATION_JSON)
  .accept(MediaType.TEXT_EVENT_STREAM)
  .bodyValue("""
     {
         "jsonrpc": "2.0",
         "id": "1",
         "method": "tools/call",
         "params": {
             "name": "getStockPrice",
             "arguments": {
                 "arg0": "AAPL"
             }
         }
     }
     """)
  .retrieve()
  .bodyToFlux(String.class);

We send a request to retrieve the stock price for AAPL. Both requests include the Authorization header. Now, let’s implement the method to obtain the access token:

public String obtainAccessToken() {
    String clientId = "mcp-client";
    String clientSecret = "secret";
    String basicToken = Base64.getEncoder()
      .encodeToString((clientId + ":" + clientSecret).getBytes(StandardCharsets.UTF_8));

    return "Bearer " + webClient.post()
      .uri("/oauth2/token")
      .header(HttpHeaders.CONTENT_TYPE, MediaType.APPLICATION_FORM_URLENCODED_VALUE)
      .header(HttpHeaders.AUTHORIZATION, "Basic " + basicToken)
      .body(BodyInserters.fromFormData("grant_type", "client_credentials"))
      .retrieve()
      .bodyToMono(JsonNode.class)
      .map(node -> node.get("access_token").asText())
      .block(Duration.ofSeconds(5));
}

After execution, we can see that the response data was successfully received. This confirms that we’ve passed the security filters.

6. Conclusion

In this tutorial, we’ve secured our MCP server using OAuth2 in a Spring AI application. To protect key MCP endpoints, OAuth2 was integrated seamlessly through Spring Boot. Moreover, this setup is flexible and can be extended further. For instance, we could introduce role- and scope-based access control to restrict specific tools or actions to certain clients.

In a production environment, we might integrate with a full-featured identity provider like Keycloak or Okta. Besides that, we could enhance our tokens with custom claims or scopes to control access to individual tools within the MCP platform.

As always, the code is available over on GitHub.

Baeldung Pro – NPI EA (cat = Baeldung)
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Baeldung Pro comes with both absolutely No-Ads as well as finally with Dark Mode, for a clean learning experience:

>> Explore a clean Baeldung

Once the early-adopter seats are all used, the price will go up and stay at $33/year.

Partner – Microsoft – NPI EA (cat = Baeldung)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, visit the documentation page.

You can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Microsoft – NPI EA (cat = Spring Boot)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, visit the documentation page.

You can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Orkes – NPI EA (cat = Spring)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

Try a 14-Day Free Trial of Orkes Conductor today.

Partner – Orkes – NPI EA (tag = Microservices)
announcement - icon

Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

Try a 14-Day Free Trial of Orkes Conductor today.

eBook – HTTP Client – NPI EA (cat=HTTP Client-Side)
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The Apache HTTP Client is a very robust library, suitable for both simple and advanced use cases when testing HTTP endpoints. Check out our guide covering basic request and response handling, as well as security, cookies, timeouts, and more:

>> Download the eBook

eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.

Get started with understanding multi-threaded applications with our Java Concurrency guide:

>> Download the eBook

eBook – Java Streams – NPI EA (cat=Java Streams)
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Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.

But these can also be overused and fall into some common pitfalls.

To get a better understanding on how Streams work and how to combine them with other language features, check out our guide to Java Streams:

>> Join Pro and download the eBook

eBook – Persistence – NPI EA (cat=Persistence)
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Working on getting your persistence layer right with Spring?

Explore the eBook

Partner – MongoDB – NPI EA (tag=MongoDB)
announcement - icon

Traditional keyword-based search methods rely on exact word matches, often leading to irrelevant results depending on the user's phrasing.

By comparison, using a vector store allows us to represent the data as vector embeddings, based on meaningful relationships. We can then compare the meaning of the user’s query to the stored content, and retrieve more relevant, context-aware results.

Explore how to build an intelligent chatbot using MongoDB Atlas, Langchain4j and Spring Boot:

>> Building an AI Chatbot in Java With Langchain4j and MongoDB Atlas

Course – LS – NPI EA (cat=REST)

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Get started with Spring Boot and with core Spring, through the Learn Spring course:

>> CHECK OUT THE COURSE

Course – LSS – NPI (cat=Security/Spring Security)
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I just announced the new Learn Spring Security course, including the full material focused on the new OAuth2 stack in Spring Security:

>> CHECK OUT THE COURSE

Partner – Microsoft – NPI (cat=Spring)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, visit the documentation page.

You can also ask questions and leave feedback on the Azure Container Apps GitHub page.

eBook Jackson – NPI EA – 3 (cat = Jackson)