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集成MCP -> 小艾智能体项目

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userpu
2025-12-19 14:30:47 +08:00
parent c0d2bd73a3
commit 74d6f5356d
16 changed files with 359 additions and 2 deletions
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13
langchain4j-ai-xiaoai-agent/pom.xml
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@@ -18,6 +18,19 @@
<knife4j.version>4.3.0</knife4j.version>
</properties>
<dependencies>
<!-- MCP Client 依赖 -->
<dependency>
<groupId>dev.langchain4j</groupId>
<artifactId>langchain4j-mcp</artifactId>
<exclusions>
<!--提出JDK的访问远程模式-->
<exclusion>
<groupId>dev.langchain4j</groupId>
<artifactId>langchain4j-http-client-jdk</artifactId>
</exclusion>
</exclusions>
</dependency>
<!-- 接入阿里云百炼平台 -->
<dependency>
<groupId>dev.langchain4j</groupId>

3
langchain4j-ai-xiaoai-agent/src/main/java/com/iwe3/langchain4j/XiaoAIAgentApplication.java
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@@ -3,10 +3,13 @@ package com.iwe3.langchain4j;
import org.mybatis.spring.annotation.MapperScan;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.context.annotation.Bean;
import org.springframework.web.client.RestTemplate;
@MapperScan("com.iwe3.langchain4j.mapper")
@SpringBootApplication
public class XiaoAIAgentApplication {
public static void main(String[] args) {
SpringApplication.run(XiaoAIAgentApplication.class,args);
}

62
langchain4j-ai-xiaoai-agent/src/main/java/com/iwe3/langchain4j/config/BaiduMcpConfig.java Normal file
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@@ -0,0 +1,62 @@
package com.iwe3.langchain4j.config;
import com.iwe3.langchain4j.mcp.BaiduMcpService;
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.ChatModel;
import dev.langchain4j.model.chat.StreamingChatModel;
import dev.langchain4j.service.AiServices;
import dev.langchain4j.service.tool.ToolProvider;
import jakarta.annotation.Resource;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import java.util.List;
import java.util.Map;
@Configuration
public class BaiduMcpConfig {
@Resource
private ChatModel chatModelQwen;
@Bean
public BaiduMcpService baiduMcpService(){
/**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
*/
var 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
var mcpClient = new DefaultMcpClient.Builder()
.transport(transport)
.build();
// 3.创建工具集和原生的FunctionCalling类似
var 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(BaiduMcpService.class)
.chatModel(chatModelQwen)
.toolProvider(toolProvider)
.build();
}
}

17
langchain4j-ai-xiaoai-agent/src/main/java/com/iwe3/langchain4j/config/LLMConfig.java
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@@ -1,6 +1,8 @@
package com.iwe3.langchain4j.config;
import dev.langchain4j.model.chat.ChatModel;
import dev.langchain4j.model.chat.StreamingChatModel;
import dev.langchain4j.model.openai.OpenAiChatModel;
import dev.langchain4j.model.openai.OpenAiStreamingChatModel;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
@@ -20,4 +22,19 @@ public class LLMConfig {
.baseUrl("https://dashscope.aliyuncs.com/compatible-mode/v1")
.build();
}
/**
* 普通对话接口 chatModelQwen
* @return
*/
@Bean
public ChatModel chatModelQwen(){
/*大模型3件套：apikey ,model-name,base-url */
return OpenAiChatModel.builder()
.apiKey(System.getenv("DASH_SCOPE_API_KEY"))
.modelName("qwen-plus")
.baseUrl("https://dashscope.aliyuncs.com/compatible-mode/v1")
.build();
}
}

6
langchain4j-ai-xiaoai-agent/src/main/java/com/iwe3/langchain4j/mcp/BaiduMcpService.java Normal file
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@@ -0,0 +1,6 @@
package com.iwe3.langchain4j.mcp;
public interface BaiduMcpService
{
String chat(String question);
}

2
langchain4j-ai-xiaoai-agent/src/main/java/com/iwe3/langchain4j/service/XiaoAIChatAssistant.java
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@@ -12,7 +12,7 @@ import reactor.core.publisher.Flux;
@AiService(wiringMode = AiServiceWiringMode.EXPLICIT
,streamingChatModel = "streamingChatModel",
chatMemoryProvider = "chatMemoryProvider",
tools = {"appointmentTools"},
tools = {"appointmentTools","baiduMcpTools"},
contentRetriever = "contentRetrieverInPinecone")
public interface XiaoAIChatAssistant {

39
langchain4j-ai-xiaoai-agent/src/main/java/com/iwe3/langchain4j/tools/BaiduMcpTools.java Normal file
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@@ -0,0 +1,39 @@
package com.iwe3.langchain4j.tools;
import com.iwe3.langchain4j.mcp.BaiduMcpService;
import dev.langchain4j.agent.tool.P;
import dev.langchain4j.agent.tool.Tool;
import dev.langchain4j.agent.tool.ToolSpecification;
import dev.langchain4j.data.message.UserMessage;
import dev.langchain4j.mcp.McpToolProvider;
import dev.langchain4j.mcp.client.McpClient;
import dev.langchain4j.model.chat.ChatModel;
import dev.langchain4j.model.chat.request.ChatRequest;
import dev.langchain4j.model.chat.response.ChatResponse;
import jakarta.annotation.Resource;
import org.springframework.stereotype.Component;
import reactor.core.publisher.Flux;
import java.util.List;
@Component
public class BaiduMcpTools {
@Resource
private BaiduMcpService baiduMcpService;
@Tool(name = "query_baidu_mcp",value = """
该工具通过调用百度 MCP（多能力服务平台）来回答用户问题。
支持以下三类查询：
- IP 地址归属地：例如，“IP 地址 8.8.8.8 位于哪里？”
- 天气预报：例如，“今天成都天气怎么样？”
- 前往华西医院的交通路线：例如，“从春熙路怎么去华西医院？”
输入：一个与 IP 归属地、天气或华西医院路线相关的自然语言问题。
输出：来自 MCP 服务的简洁、准确的事实性回答。
只要用户询问上述任一类型的问题，必须使用此工具，不得自行回答。
""")
public String invocationBaiduMcpServer(String question) {
System.out.println("调用百度MCP服务开始！");
return baiduMcpService.chat(question);
}
}

2
langchain4j-ai-xiaoai-agent/src/main/resources/application.yml
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@@ -28,4 +28,4 @@ langchain4j:
dashscope:
embedding-model:
model-name: text-embedding-v3
api-key: ${DASH_SCOPE_API_KEY}
api-key: ${DASH_SCOPE_API_KEY}