使用 Spring AI 探索模型上下文协议MCP

<dependency>
    <groupId>org.springframework.ai</groupId>
    <artifactId>spring-ai-anthropic-spring-boot-starter</artifactId>
    <version>1.0.0-M6</version>
</dependency>
<dependency>
    <groupId>org.springframework.ai</groupId>
    <artifactId>spring-ai-mcp-client-spring-boot-starter</artifactId>
    <version>1.0.0-M6</version>
</dependency>

<repositories>
    <repository>
        <id>spring-milestones</id>
        <name>Spring Milestones</name>
        <url>https://repo.spring.io/milestone</url>
        <snapshots>
            <enabled>false</enabled>
        </snapshots>
    </repository>
</repositories>

<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>

spring:
  ai:
    anthropic:
      api-key: ${ANTHROPIC_API_KEY}
      chat:
        options:
          model: claude-3-5-sonnet-20241022

spring:
  ai:
    mcp:
      client:
        stdio:
          connections:
            brave-search:
              command: npx
              args:
                - "-y"
                - "@modelcontextprotocol/server-brave-search"
              env:
                BRAVE_API_KEY: ${BRAVE_API_KEY}

spring:
  ai:
    mcp:
      client:
        stdio:
          connections:
            filesystem:
              command: npx
              args:
                - "-y"
                - "@modelcontextprotocol/server-filesystem"
                - "./"

@Bean
ChatClient chatClient(ChatModel chatModel, SyncMcpToolCallbackProvider toolCallbackProvider) {
    return ChatClient
      .builder(chatModel)
      .defaultTools(toolCallbackProvider.getToolCallbacks())
      .build();
}

String chat(String question) {
    return chatClient
      .prompt()
      .user(question)
      .call()
      .content();
}

@PostMapping("/chat")
ResponseEntity<ChatResponse> chat(@RequestBody ChatRequest chatRequest) {
    String answer = chatbotService.chat(chatRequest.question());
    return ResponseEntity.ok(new ChatResponse(answer));
}
record ChatRequest(String question) {}
record ChatResponse(String answer) {}

<dependency>
    <groupId>org.springframework.ai</groupId>
    <artifactId>spring-ai-mcp-server-webmvc-spring-boot-starter</artifactId>
    <version>1.0.0-M6</version>
</dependency>

class AuthorRepository {
    @Tool(description = "Get Baeldung author details using an article title")
    Author getAuthorByArticleTitle(String articleTitle) {
        return new Author("John Doe", "john.doe@baeldung.com");
    }
    @Tool(description = "Get highest rated Baeldung authors")
    List<Author> getTopAuthors() {
        return List.of(
          new Author("John Doe", "john.doe@baeldung.com"),
          new Author("Jane Doe", "jane.doe@baeldung.com")
        );
    }
    record Author(String name, String email) {
    }
}

@Bean
ToolCallbackProvider authorTools() {
    return MethodToolCallbackProvider
      .builder()
      .toolObjects(new AuthorRepository())
      .build();
}

spring:
  ai:
    mcp:
      client:
        sse:
          connections:
            author-tools-server:
              url: http://localhost:8081

{
    "answer": "Elon Musk's initial offer to buy OpenAI was $97.4 billion. <a href="https://www.reuters.com/technology/openai-board-rejects-musks-974-billion-offer-2025-02-14/">Source</a>."
}

http POST :8080/chat question="Create a text file named 'mcp-demo.txt' with content 'This is awesome!'."

{
    "answer": "The text file named 'mcp-demo.txt' has been successfully created with the content you specified."
}

http POST :8080/chat question="Who wrote the article 'Testing CORS in Spring Boot?' on Baeldung, and how can I contact them?"

{
    "answer": "The article 'Testing CORS in Spring Boot' on Baeldung was written by John Doe. You can contact him via email at <a href="mailto:john.doe@baeldung.com">john.doe@baeldung.com</a>."
}