集成MCP -> 小艾智能体项目

langchain4j-ai-mcp/pom.xml

@@ -0,0 +1,73 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project xmlns="http://maven.apache.org/POM/4.0.0"
+         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+    <modelVersion>4.0.0</modelVersion>
+    <parent>
+        <groupId>com.iwe3</groupId>
+        <artifactId>langchain4j-ai-java</artifactId>
+        <version>1.0-SNAPSHOT</version>
+    </parent>
+
+    <artifactId>langchain4j-ai-mcp</artifactId>
+
+    <properties>
+        <maven.compiler.source>17</maven.compiler.source>
+        <maven.compiler.target>17</maven.compiler.target>
+        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
+    </properties>
+
+    <dependencies>
+        <!-- MCP Client 依赖 -->
+        <dependency>
+            <groupId>dev.langchain4j</groupId>
+            <artifactId>langchain4j-mcp</artifactId>
+        </dependency>
+
+        <!-- 接入阿里云百炼平台 -->
+        <dependency>
+            <groupId>dev.langchain4j</groupId>
+            <artifactId>langchain4j-community-dashscope-spring-boot-starter</artifactId>
+        </dependency>
+
+        <dependency>
+            <groupId>org.springframework.boot</groupId>
+            <artifactId>spring-boot-starter-test</artifactId>
+        </dependency>
+        <!-- Spring Boot Starter Data MongoDB -->
+        <dependency>
+            <groupId>org.springframework.boot</groupId>
+            <artifactId>spring-boot-starter-data-mongodb</artifactId>
+        </dependency>
+        <!--流式输出-->
+        <dependency>
+            <groupId>dev.langchain4j</groupId>
+            <artifactId>langchain4j-reactor</artifactId>
+            <version>1.9.1-beta17</version>
+        </dependency>
+        <dependency>
+            <groupId>org.projectlombok</groupId>
+            <artifactId>lombok</artifactId>
+            <optional>true</optional>
+        </dependency>
+        <dependency>
+            <groupId>org.springframework.boot</groupId>
+            <artifactId>spring-boot-starter-web</artifactId>
+        </dependency>
+        <!--导入低阶依赖-->
+        <dependency>
+            <groupId>dev.langchain4j</groupId>
+            <artifactId>langchain4j-open-ai-spring-boot-starter</artifactId>
+            <version>1.9.1-beta17</version>
+        </dependency>
+        <!--导入高阶依赖-->
+        <dependency>
+            <groupId>dev.langchain4j</groupId>
+            <artifactId>langchain4j-spring-boot-starter</artifactId>
+            <version>1.9.1-beta17</version>
+        </dependency>
+    </dependencies>
+
+
+
+</project>

langchain4j-ai-mcp/src/main/java/com/iwe3/langchain4j/McpApplication.java

@@ -0,0 +1,12 @@
+package com.iwe3.langchain4j;
+
+import org.springframework.boot.SpringApplication;
+import org.springframework.boot.autoconfigure.SpringBootApplication;
+
+@SpringBootApplication
+public class McpApplication {
+
+    public static void main(String[] args) {
+        SpringApplication.run(McpApplication.class,args);
+    }
+}

langchain4j-ai-mcp/src/main/java/com/iwe3/langchain4j/config/BaiduMcpConfig.java

@@ -0,0 +1,57 @@
+package com.iwe3.langchain4j.config;
+
+import com.iwe3.langchain4j.service.McpService;
+import dev.langchain4j.mcp.McpToolProvider;
+import dev.langchain4j.mcp.client.DefaultMcpClient;
+import dev.langchain4j.mcp.client.McpClient;
+import dev.langchain4j.mcp.client.transport.McpTransport;
+import dev.langchain4j.mcp.client.transport.stdio.StdioMcpTransport;
+import dev.langchain4j.model.chat.StreamingChatModel;
+import dev.langchain4j.service.AiServices;
+import dev.langchain4j.service.tool.ToolProvider;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+
+import java.util.List;
+import java.util.Map;
+
+@Configuration
+public class BaiduMcpConfig {
+
+    @Autowired
+    private StreamingChatModel streamingChatModel;
+
+    @Bean
+    public McpService mcpService(){
+        /**1.构建McpTransport协议
+         *
+         * 1.1 cmd：启动 Windows 命令行解释器。
+         * 1.2 /c：告诉 cmd 执行完后面的命令后关闭自身。
+         * 1.3 npx：npx = npm execute package，Node.js 的一个工具，用于执行 npm 包中的可执行文件。
+         * 1.4 -y 或 --yes：自动确认操作（类似于默认接受所有提示）。
+         * 1.5 @baidumap/mcp-server-baidu-map：要通过 npx 执行的 npm 包名
+         * 1.6 BAIDU_MAP_API_KEY 是访问百度地图开放平台API的AK
+         */
+        McpTransport transport = new StdioMcpTransport.Builder()
+                .command(List.of("cmd", "/c", "npx", "-y", "@baidumap/mcp-server-baidu-map"))
+                .environment(Map.of("BAIDU_MAP_API_KEY", System.getenv("BAIDU_MAP_API_KEY")))
+                .build();
+
+        // 2.构建McpClient客户端
+        McpClient mcpClient = new DefaultMcpClient.Builder()
+                .transport(transport)
+                .build();
+
+        // 3.创建工具集和原生的FunctionCalling类似
+        ToolProvider toolProvider = McpToolProvider.builder()
+                .mcpClients(mcpClient)
+                .build();
+
+        // 4.通过AiServivces给我们自定义接口McpService构建实现类并将工具集和大模型赋值给AiService
+        return AiServices.builder(McpService.class)
+                .streamingChatModel(streamingChatModel)
+                .toolProvider(toolProvider)
+                .build();
+    }
+}

langchain4j-ai-mcp/src/main/java/com/iwe3/langchain4j/controller/McpCallServerController.java

@@ -0,0 +1,37 @@
+package com.iwe3.langchain4j.controller;
+
+import com.iwe3.langchain4j.service.McpService;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.web.bind.annotation.GetMapping;
+import org.springframework.web.bind.annotation.RequestParam;
+import org.springframework.web.bind.annotation.RestController;
+import reactor.core.publisher.Flux;
+
+
+/**
+ * @Description: 知识出处
+ * 第1步，如何进行mcp编码
+ * https://docs.langchain4j.dev/tutorials/mcp#creating-an-mcp-tool-provider
+ *
+ * 第2步，如何使用baidu map mcp，它提供了哪些功能对外服务
+ * https://mcp.so/zh/server/baidu-map/baidu-maps?tab=tools
+ *
+ * http://localhost:9012/lc4j/mcp/chat?question=查询117.173.150.122归属地
+ * http://localhost:9012/lc4j/mcp/chat?question=查询都江堰天气
+ * http://localhost:9012/lc4j/mcp/chat?question=查询成都成华区到都江堰路线规划
+ */
+@RestController
+public class McpCallServerController {
+
+    @Autowired
+    private McpService mcpService;
+
+    @GetMapping("/lc4j/mcp/chat")
+    public Flux<String> chat(@RequestParam("question") String question) throws Exception
+    {
+        // 调用我们定义的HighApi接口,通过大模型对百度mcpserver调用
+        return mcpService.chat(question);
+
+    }
+}
+

langchain4j-ai-mcp/src/main/java/com/iwe3/langchain4j/service/McpService.java

@@ -0,0 +1,8 @@
+package com.iwe3.langchain4j.service;
+
+import reactor.core.publisher.Flux;
+
+public interface McpService
+{
+    Flux<String> chat(String question);
+}

langchain4j-ai-mcp/src/main/resources/application.yml

@@ -0,0 +1,27 @@
+server:
+  port: 9012
+  servlet:
+    encoding:
+      charset: UTF-8
+      enabled: true
+      force: true
+
+spring:
+  application:
+    name: langchain4j-ai-mcp
+
+langchain4j:
+  community:
+    dashscope:
+      streaming-chat-model:
+        api-key: ${DASH_SCOPE_API_KEY}
+        model-name: qwen-plus
+      chat-model:
+        api-key: ${DASH_SCOPE_API_KEY}
+        model-name: qwen-plus
+
+# 只有日志级别调整为debug级别，同时配置以上 langchain 日志输出开关才有效
+logging:
+  level:
+    dev:
+      langchain4j: DEBUG