feat: mcp-1.0.0

This commit is contained in:
ageerle
2025-04-16 10:25:10 +08:00
parent f24ff5bbdd
commit d1006f50ad
26 changed files with 250 additions and 739 deletions

View File

@@ -320,19 +320,4 @@ wechat:
token: ''
aesKey: ''
spring:
ai:
openai:
api-key: sk-xX
base-url: https://api.pandarobot.chat/
ollama:
base-url: http://localhost:11434
mcp:
client:
enabled: true
name: call-mcp-server
sse:
connections:
server1:
url: http://127.0.0.1:6040

View File

@@ -41,6 +41,11 @@ public class ChatRequest {
*/
private Boolean search = Boolean.FALSE;
/**
* 是否开启mcp
*/
private Boolean isMcp = Boolean.FALSE;
/**
* 知识库id
*/

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@@ -1,83 +0,0 @@
<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/maven-v4_0_0.xsd">
<modelVersion>4.0.0</modelVersion>
<parent>
<groupId>org.ruoyi</groupId>
<artifactId>ruoyi-ai</artifactId>
<version>1.0.0</version>
<relativePath>../../pom.xml</relativePath>
</parent>
<artifactId>call-mcp-server</artifactId>
<name>Archetype - call-mcp-server</name>
<url>http://maven.apache.org</url>
<properties>
<java.version>17</java.version>
</properties>
<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>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-thymeleaf</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-mcp-client-spring-boot-starter</artifactId>
<version>1.0.0-M6</version>
</dependency>
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-openai-spring-boot-starter</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-mcp</artifactId>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
</plugin>
</plugins>
</build>
</project>

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@@ -1,13 +0,0 @@
package org.ruoyi.rocket.callmcpserver;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
@SpringBootApplication
public class CallMcpServerApplication {
public static void main(String[] args) {
SpringApplication.run(CallMcpServerApplication.class, args);
}
}

View File

@@ -1,22 +0,0 @@
package org.ruoyi.rocket.callmcpserver.cofing;
import io.modelcontextprotocol.client.McpClient;
import org.springframework.ai.mcp.customizer.McpSyncClientCustomizer;
import org.springframework.context.annotation.Configuration;
import java.time.Duration;
/**
* @author ageer
*/
@Configuration
public class McpClientCfg implements McpSyncClientCustomizer {
@Override
public void customize(String name, McpClient.SyncSpec spec) {
// do nothing
spec.requestTimeout(Duration.ofSeconds(30));
}
}

View File

@@ -1,74 +0,0 @@
package org.ruoyi.rocket.callmcpserver.view;
import jakarta.servlet.http.HttpServletResponse;
import org.springframework.ai.chat.client.ChatClient;
import org.springframework.ai.chat.client.advisor.MessageChatMemoryAdvisor;
import org.springframework.ai.chat.memory.ChatMemory;
import org.springframework.ai.chat.memory.InMemoryChatMemory;
import org.springframework.ai.chat.model.ChatResponse;
import org.springframework.ai.openai.OpenAiChatOptions;
import org.springframework.ai.tool.ToolCallbackProvider;
import org.springframework.web.bind.annotation.*;
import reactor.core.publisher.Flux;
/**
* @author jianzhang
* 2025/03/18/下午8:00
*/
@RestController
@RequestMapping("/dashscope/chat-client")
public class ChatController {
private final ChatClient chatClient;
private final ChatMemory chatMemory = new InMemoryChatMemory();
public ChatController(ChatClient.Builder chatClientBuilder,ToolCallbackProvider tools) {
this.chatClient = chatClientBuilder
.defaultTools(tools)
.defaultOptions(
OpenAiChatOptions.builder().model("gpt-4o-mini").build())
.build();
}
@RequestMapping(value = "/generate_stream", method = RequestMethod.GET)
public Flux<ChatResponse> generateStream(HttpServletResponse response, @RequestParam("id") String id, @RequestParam("prompt") String prompt) {
response.setCharacterEncoding("UTF-8");
var messageChatMemoryAdvisor = new MessageChatMemoryAdvisor(chatMemory, id, 10);
Flux<ChatResponse> chatResponseFlux = this.chatClient.prompt(prompt)
.advisors(messageChatMemoryAdvisor)
.stream()
.chatResponse();
Flux<String> content = this.chatClient.prompt(prompt)
.advisors(messageChatMemoryAdvisor)
.stream()
.content();
content.subscribe(
content1 -> System.out.println("chatResponse"+content1)
);
return chatResponseFlux;
}
@GetMapping("/advisor/chat/{id}/{prompt}")
public Flux<String> advisorChat(
HttpServletResponse response,
@PathVariable String id,
@PathVariable String prompt) {
response.setCharacterEncoding("UTF-8");
var messageChatMemoryAdvisor = new MessageChatMemoryAdvisor(chatMemory, id, 10);
return this.chatClient.prompt(prompt)
.advisors(messageChatMemoryAdvisor).stream().content();
}
}

View File

@@ -1,21 +0,0 @@
package org.ruoyi.rocket.callmcpserver.view;
import org.springframework.stereotype.Controller;
import org.springframework.ui.Model;
import org.springframework.web.bind.annotation.GetMapping;
/**
* @author jianzhang
* 2025/03/18/下午8:00
*/
@Controller
public class IndexController {
@GetMapping("/")
public String chat(Model model) {
//model.addAttribute("name", "User");
// 返回视图名称,对应 templates/index.html
return "index";
}
}

View File

@@ -1,16 +0,0 @@
server:
port: 9999
spring:
ai:
openai:
api-key: sk-xXe1WMPjhlVb1aiI1b4c6c8934D8463f9e4b67Ed8718B772
base-url: https://api.pandarobot.chat/
mcp:
client:
enabled: true
name: call-mcp-server
sse:
connections:
server1:
url: http://127.0.0.1:6040

View File

@@ -1,40 +0,0 @@
{
"mcpServers": {
"fileSystem": {
"command": "D:\\software\\nodeJs\\npx.cmd",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem",
"D:\\software\\sqlite"
]
},
"sqlLite": {
"command": "D:\\Program Files\\python3.12.3\\Scripts\\uvx.exe",
"args": [
"mcp-server-sqlite",
"--db-path",
"D:\\work-space-study\\spring-ai-mcp-demo\\mcp-client\\src\\main\\resources\\test.db"
]
},
"fetch": {
"command": "D:\\Program Files\\python3.12.3\\Scripts\\uvx.exe",
"args": [
"mcp-server-fetch"
]
},
"baidu-map": {
"command": "D:\\Program Files\\python3.12.3\\Scripts\\uvx.exe",
"args": [
"run",
"--with",
"mcp[cli]",
"mcp",
"run",
"D:\\work-space-python\\python-baidu-map\\baidu_map_mcp_server\\map.py"
],
"env": {
"BAIDU_MAPS_API_KEY": "{百度地图API-KEY}"
}
}
}
}

View File

@@ -1,20 +0,0 @@
{
"mcpServers": {
"fileSystem": {
"command": "D:\\software\\nodeJs\\npx.cmd",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem",
"D:\\software\\sqlite"
]
},
"sqlLite": {
"command": "D:\\Program Files\\python3.12.3\\Scripts\\uvx.exe",
"args": [
"mcp-server-sqlite",
"--db-path",
"D:\\work-space-study\\spring-ai-mcp-demo\\mcp-client\\src\\main\\resources\\test.db"
]
}
}
}

View File

@@ -1,148 +0,0 @@
<!DOCTYPE html>
<html lang="zh-CN">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>AI 对话助手</title>
<script src="https://cdn.tailwindcss.com"></script>
</head>
<body class="bg-gray-100 min-h-screen">
<div class="container mx-auto p-4 max-w-3xl">
<!-- 标题 -->
<div class="text-center mb-8">
<h1 class="text-3xl font-bold text-gray-800">AI 对话助手</h1>
<p class="text-gray-600 mt-2">基于 Spring AI 的流式对话系统 By AhuCodingBeast</p>
</div>
<!-- 聊天容器 -->
<div id="chat-container" class="bg-white rounded-xl shadow-lg p-4 mb-4 h-[500px] overflow-y-auto space-y-4">
<!-- 初始欢迎消息 -->
<div class="ai-message flex items-start gap-3">
<div class="bg-green-100 p-3 rounded-lg max-w-[85%]">
<span class="text-gray-800">您好我是AI助手有什么可以帮您</span>
</div>
</div>
</div>
<!-- 输入区域 -->
<div class="flex gap-2">
<input type="text" id="message-input"
class="flex-1 border border-gray-300 rounded-xl px-4 py-3 focus:outline-none focus:ring-2 focus:ring-blue-500"
placeholder="输入您的问题...">
<button id="send-button"
class="bg-blue-500 text-white px-6 py-3 rounded-xl hover:bg-blue-600 transition-colors flex items-center">
<span>发送</span>
<svg id="loading-spinner" class="hidden w-4 h-4 ml-2 animate-spin" fill="none" viewBox="0 0 24 24">
<circle class="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" stroke-width="4"></circle>
<path class="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8V0C5.373 0 0 5.373 0 12h4z"></path>
</svg>
</button>
</div>
</div>
<script>
const chatContainer = document.getElementById('chat-container');
const messageInput = document.getElementById('message-input');
const sendButton = document.getElementById('send-button');
const loadingSpinner = document.getElementById('loading-spinner');
// 发送消息处理
function handleSend() {
const message = messageInput.value.trim();
if (!message) return;
// 添加用户消息
addMessage(message, 'user');
messageInput.value = '';
// 构建API URL
const apiUrl = new URL('http://localhost:9999/dashscope/chat-client/generate_stream');
apiUrl.searchParams.append('id', '01');
apiUrl.searchParams.append('prompt', message);
// 显示加载状态
sendButton.disabled = true;
loadingSpinner.classList.remove('hidden');
// 创建EventSource连接
const eventSource = new EventSource(apiUrl);
let aiMessageElement = null;
eventSource.onmessage = (event) => {
try {
const data = JSON.parse(event.data);
console.log(data);
const content = data.result?.output?.text || '';
const finishReason = data.result?.metadata?.finishReason;
// 创建消息容器(如果不存在)
if (!aiMessageElement) {
aiMessageElement = addMessage('', 'ai');
}
// 追加内容
if (content) {
aiMessageElement.querySelector('.message-content').textContent += content;
autoScroll();
}
// 处理结束
if (finishReason === 'STOP') {
eventSource.close();
sendButton.disabled = false;
loadingSpinner.classList.add('hidden');
}
} catch (error) {
console.error('解析错误:', error);
}
};
eventSource.onerror = (error) => {
console.error('连接错误:', error);
eventSource.close();
sendButton.disabled = false;
loadingSpinner.classList.add('hidden');
addMessage('对话连接异常,请重试', 'ai', true);
};
}
// 添加消息到容器
function addMessage(content, type, isError = false) {
const messageDiv = document.createElement('div');
messageDiv.className = `${type}-message flex items-start gap-3`;
const bubble = document.createElement('div');
bubble.className = `p-3 rounded-lg max-w-[85%] ${
type === 'user'
? 'bg-blue-500 text-white ml-auto'
: `bg-green-100 ${isError ? 'text-red-500' : 'text-gray-800'}`
}`;
const contentSpan = document.createElement('span');
contentSpan.className = 'message-content';
contentSpan.textContent = content;
bubble.appendChild(contentSpan);
messageDiv.appendChild(bubble);
chatContainer.appendChild(messageDiv);
autoScroll();
return bubble;
}
// 自动滚动到底部
function autoScroll() {
chatContainer.scrollTop = chatContainer.scrollHeight;
}
// 事件监听
sendButton.addEventListener('click', handleSend);
messageInput.addEventListener('keypress', (e) => {
if (e.key === 'Enter' && !e.shiftKey) {
e.preventDefault();
handleSend();
}
});
</script>
</body>
</html>

View File

@@ -14,7 +14,7 @@
<packaging>pom</packaging>
<modules>
<module>ruoyi-mcp-server</module>
<module>ruoyi-ai-mcp-webflux-server</module>
</modules>
</project>

View File

@@ -0,0 +1,91 @@
<?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>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>3.4.4</version>
<relativePath /> <!-- lookup parent from repository -->
</parent>
<groupId>com.ivy.mcp</groupId>
<artifactId>ruoyi-ai-mcp-webflux-server</artifactId>
<version>1.0.0-M6</version>
<name>spring-ai-mcp-webflux-server</name>
<description>Spring AI MCP Server example and invoke by stdio</description>
<properties>
<java.version>17</java.version>
<spring-ai.version>1.0.0-M6</spring-ai.version>
</properties>
<dependencyManagement>
<dependencies>
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-bom</artifactId>
<version>${spring-ai.version}</version>
<type>pom</type>
<scope>import</scope>
</dependency>
</dependencies>
</dependencyManagement>
<dependencies>
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-mcp-server-webflux-spring-boot-starter</artifactId>
<version>${spring-ai.version}</version>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
<executions>
<execution>
<goals>
<goal>repackage</goal>
</goals>
</execution>
</executions>
</plugin>
</plugins>
</build>
<repositories>
<repository>
<name>Central Portal Snapshots</name>
<id>central-portal-snapshots</id>
<url>https://central.sonatype.com/repository/maven-snapshots/</url>
<releases>
<enabled>false</enabled>
</releases>
<snapshots>
<enabled>true</enabled>
</snapshots>
</repository>
<repository>
<id>spring-milestones</id>
<name>Spring Milestones</name>
<url>https://repo.spring.io/milestone</url>
<snapshots>
<enabled>false</enabled>
</snapshots>
</repository>
<repository>
<id>spring-snapshots</id>
<name>Spring Snapshots</name>
<url>https://repo.spring.io/snapshot</url>
<releases>
<enabled>false</enabled>
</releases>
</repository>
</repositories>
</project>

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@@ -0,0 +1,34 @@
package com.ivy.mcp.sse.client;
import io.modelcontextprotocol.client.McpClient;
import io.modelcontextprotocol.client.transport.WebFluxSseClientTransport;
import io.modelcontextprotocol.spec.McpSchema;
import org.springframework.web.reactive.function.client.WebClient;
import java.util.Map;
public class ClientWebflux {
public static void main(String[] args) {
var transport = new WebFluxSseClientTransport(WebClient.builder().baseUrl("http://localhost:8080"));
try (var client = McpClient.sync(transport).build()) {
client.initialize();
// client.ping();
McpSchema.ListToolsResult toolsList = client.listTools();
System.out.println("Available Tools = " + toolsList);
McpSchema.CallToolResult sumResult = client.callTool(new McpSchema.CallToolRequest("add",
Map.of("a", 1, "b", 2)));
System.out.println("add a+ b = " + sumResult.content().get(0));
McpSchema.CallToolResult currentTimResult = client.callTool(new McpSchema.CallToolRequest("getCurrentTime", Map.of()));
System.out.println("current time Response = " + currentTimResult);
}
}
}

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@@ -0,0 +1,42 @@
package com.ivy.mcp.sse.server;
import org.springframework.ai.tool.ToolCallback;
import org.springframework.ai.tool.ToolCallbacks;
import org.springframework.ai.tool.annotation.Tool;
import org.springframework.ai.tool.annotation.ToolParam;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.context.annotation.Bean;
import org.springframework.stereotype.Service;
import java.time.LocalDateTime;
import java.util.List;
@SpringBootApplication
public class McpWebfluxServerApplication {
public static void main(String[] args) {
SpringApplication.run(McpWebfluxServerApplication.class, args);
}
@Bean
public List<ToolCallback> tools(MyTools myTools) {
return List.of(ToolCallbacks.from(myTools));
}
@Service
public static class MyTools {
@Tool(description = "add two numbers")
public Integer add(@ToolParam(description = "first number") int a,
@ToolParam(description = "second number") int b) {
return a + b;
}
@Tool(description = "get current time")
public LocalDateTime getCurrentTime() {
return LocalDateTime.now();
}
}
}

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@@ -0,0 +1,7 @@
spring.main.banner-mode=off
logging.pattern.console=
logging.file.name=mcp-server/spring-ai-mcp-webflux-server/target/target/mcp.mytools.log
spring.ai.mcp.server.enabled=true
spring.ai.mcp.server.name=webflux-server
spring.ai.mcp.server.version=1.0.0

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@@ -1,64 +0,0 @@
<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/maven-v4_0_0.xsd">
<modelVersion>4.0.0</modelVersion>
<parent>
<groupId>org.ruoyi</groupId>
<artifactId>ruoyi-ai</artifactId>
<version>${revision}</version>
<relativePath>../../pom.xml</relativePath>
</parent>
<artifactId>ruoyi-mcp-server</artifactId>
<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>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-mcp-server-webmvc-spring-boot-starter</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-mcp</artifactId>
</dependency>
<!-- <dependency>-->
<!-- <groupId>org.ruoyi</groupId>-->
<!-- <artifactId>ruoyi-system-api</artifactId>-->
<!-- <exclusions>-->
<!-- <exclusion>-->
<!-- <groupId>org.ruoyi</groupId>-->
<!-- <artifactId>ruoyi-common-translation</artifactId>-->
<!-- </exclusion>-->
<!-- </exclusions>-->
<!-- </dependency>-->
</dependencies>
</project>

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@@ -1,16 +0,0 @@
package org.ruoyi.mcp;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
/**
* @author ageer
*/
@SpringBootApplication
public class McpServerApplication {
public static void main(String[] args) {
SpringApplication.run(McpServerApplication.class, args);
}
}

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@@ -1,100 +0,0 @@
package org.ruoyi.mcp.config;
import org.ruoyi.mcp.service.McpCustomService;
import com.fasterxml.jackson.databind.ObjectMapper;
import io.modelcontextprotocol.server.McpServerFeatures;
import io.modelcontextprotocol.spec.McpSchema;
import org.springframework.ai.tool.ToolCallbackProvider;
import org.springframework.ai.tool.method.MethodToolCallbackProvider;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.web.servlet.config.annotation.EnableWebMvc;
import org.springframework.web.servlet.config.annotation.WebMvcConfigurer;
import java.util.List;
import java.util.Map;
import java.util.function.Consumer;
/**
* @author ageer
*/
@Configuration
@EnableWebMvc
public class McpServerConfig implements WebMvcConfigurer {
@Bean
public ToolCallbackProvider openLibraryTools(McpCustomService mcpService) {
return MethodToolCallbackProvider.builder().toolObjects(mcpService).build();
}
@Bean
public List<McpServerFeatures.SyncResourceRegistration> resourceRegistrations() {
// Create a resource registration for system information
var systemInfoResource = new McpSchema.Resource(
"system://info",
"System Information",
"Provides basic system information including Java version, OS, etc.",
"application/json", null
);
var resourceRegistration = new McpServerFeatures.SyncResourceRegistration(systemInfoResource, (request) -> {
try {
var systemInfo = Map.of(
"javaVersion", System.getProperty("java.version"),
"osName", System.getProperty("os.name"),
"osVersion", System.getProperty("os.version"),
"osArch", System.getProperty("os.arch"),
"processors", Runtime.getRuntime().availableProcessors(),
"timestamp", System.currentTimeMillis());
String jsonContent = new ObjectMapper().writeValueAsString(systemInfo);
return new McpSchema.ReadResourceResult(
List.of(new McpSchema.TextResourceContents(request.uri(), "application/json", jsonContent)));
}
catch (Exception e) {
throw new RuntimeException("Failed to generate system info", e);
}
});
return List.of(resourceRegistration);
}
@Bean
public List<McpServerFeatures.SyncPromptRegistration> promptRegistrations() {
var prompt = new McpSchema.Prompt("greeting", "A friendly greeting prompt",
List.of(new McpSchema.PromptArgument("name", "The name to greet", true)));
var promptRegistration = new McpServerFeatures.SyncPromptRegistration(prompt, getPromptRequest -> {
String nameArgument = (String) getPromptRequest.arguments().get("name");
if (nameArgument == null) {
nameArgument = "friend";
}
var userMessage = new McpSchema.PromptMessage(McpSchema.Role.USER,
new McpSchema.TextContent("Hello " + nameArgument + "! How can I assist you today?"));
return new McpSchema.GetPromptResult("A personalized greeting message", List.of(userMessage));
});
return List.of(promptRegistration);
}
@Bean
public Consumer<List<McpSchema.Root>> rootsChangeConsumer() {
return roots -> {
System.out.println("rootsChange");
};
}
}

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@@ -1,20 +0,0 @@
package org.ruoyi.mcp.service;
import org.springframework.ai.tool.annotation.Tool;
import org.springframework.stereotype.Service;
/**
* @author ageer
*/
@Service
public class McpCustomService {
public record User(String userName, String userBalance) {
}
@Tool(description = "根据用户名称查询用户信息")
public User getUserBalance(String username) {
return new User("admin","99.99");
}
}

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@@ -1,12 +0,0 @@
server:
port: 6040
spring:
application:
name: mcp-server
ai:
mcp:
server:
name: webmvc-mcp-server
version: 1.0.0
type: SYNC
sse-message-endpoint: /mcp/messages

View File

@@ -55,19 +55,17 @@
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-mcp-client-spring-boot-starter</artifactId>
<artifactId>spring-ai-mcp-client-webflux-spring-boot-starter</artifactId>
</dependency>
<!-- <dependency>-->
<!-- <groupId>org.springframework.ai</groupId>-->
<!-- <artifactId>spring-ai-ollama-spring-boot-starter</artifactId>-->
<!-- </dependency>-->
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-openai-spring-boot-starter</artifactId>
<groupId>io.modelcontextprotocol.sdk</groupId>
<artifactId>mcp-spring-webflux</artifactId>
<version>0.8.0</version>
<scope>compile</scope>
</dependency>
</dependencies>
</project>

View File

@@ -36,7 +36,7 @@ public class ChatConfig {
return openAiStreamClient;
}
public OpenAiStreamClient createOpenAiStreamClient(String apiHost, String apiKey) {
public static OpenAiStreamClient createOpenAiStreamClient(String apiHost, String apiKey) {
HttpLoggingInterceptor httpLoggingInterceptor = new HttpLoggingInterceptor(new OpenAILogger());
httpLoggingInterceptor.setLevel(HttpLoggingInterceptor.Level.HEADERS);
OkHttpClient okHttpClient = new OkHttpClient.Builder()

View File

@@ -18,9 +18,4 @@ public interface IChatService {
SseEmitter chat(ChatRequest chatRequest,SseEmitter emitter);
/**
* 客户端发送消息到服务端
* @param chatRequest 请求对象
*/
void mcpChat(ChatRequest chatRequest,SseEmitter emitter);
}

View File

@@ -55,11 +55,4 @@ public interface ISseService {
*/
String wxCpChat(String prompt);
/**
* 联网查询
*
* @param prompt 提示词
* @return 查询内容
*/
String webSearch (String prompt);
}

View File

@@ -1,78 +1,88 @@
package org.ruoyi.chat.service.chat.impl;
import cn.hutool.json.JSONUtil;
import io.modelcontextprotocol.client.McpClient;
import io.modelcontextprotocol.client.transport.WebFluxSseClientTransport;
import io.modelcontextprotocol.spec.McpSchema;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.ruoyi.chat.service.chat.IChatService;
import org.ruoyi.common.chat.entity.chat.Message;
import org.ruoyi.common.chat.entity.chat.ChatChoice;
import org.ruoyi.common.chat.entity.chat.ChatCompletion;
import org.ruoyi.common.chat.entity.chat.ChatCompletionResponse;
import org.ruoyi.common.chat.entity.chat.Parameters;
import org.ruoyi.common.chat.entity.chat.tool.ToolCallFunction;
import org.ruoyi.common.chat.entity.chat.tool.Tools;
import org.ruoyi.common.chat.entity.chat.tool.ToolsFunction;
import org.ruoyi.common.chat.openai.OpenAiStreamClient;
import org.ruoyi.common.chat.request.ChatRequest;
import org.springframework.ai.chat.client.ChatClient;
import org.springframework.ai.chat.client.advisor.MessageChatMemoryAdvisor;
import org.springframework.ai.chat.memory.ChatMemory;
import org.springframework.ai.chat.memory.InMemoryChatMemory;
import org.springframework.ai.chat.messages.UserMessage;
import org.springframework.ai.openai.OpenAiChatOptions;
import org.springframework.ai.tool.ToolCallbackProvider;
import org.springframework.stereotype.Service;
import org.springframework.web.reactive.function.client.WebClient;
import org.springframework.web.servlet.mvc.method.annotation.SseEmitter;
import reactor.core.publisher.Flux;
import reactor.core.scheduler.Schedulers;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
@Service
@Slf4j
@RequiredArgsConstructor
public class OpenAIServiceImpl implements IChatService {
private final ChatClient chatClient;
private final OpenAiStreamClient openAiStreamClient;
private final ChatMemory chatMemory = new InMemoryChatMemory();
public OpenAIServiceImpl(ChatClient.Builder chatClientBuilder, ToolCallbackProvider tools) {
this.chatClient = chatClientBuilder
.defaultTools(tools)
.defaultOptions(
OpenAiChatOptions.builder()
.model("gpt-4o-mini")
.temperature(0.4)
.build())
.build();
}
@Override
public SseEmitter chat(ChatRequest chatRequest,SseEmitter emitter) {
return emitter;
}
WebFluxSseClientTransport webFluxSseClientTransport = new WebFluxSseClientTransport(WebClient.builder().baseUrl("http://localhost:8080"));
ChatCompletion completion = ChatCompletion
.builder()
.messages(chatRequest.getMessages())
.model(chatRequest.getModel())
.stream(false)
.build();
List<Tools> tools = new ArrayList<>();
try (var client = McpClient.sync(webFluxSseClientTransport).build()) {
client.initialize();
McpSchema.ListToolsResult toolsList = client.listTools();
@Override
public void mcpChat(ChatRequest chatRequest, SseEmitter emitter) {
List<Message> msgList = chatRequest.getMessages();
// 添加记忆
for (int i = 0; i < msgList.size(); i++) {
org.springframework.ai.chat.messages.Message springAiMessage = new UserMessage(msgList.get(i).getContent().toString());
chatMemory.add(String.valueOf(i), springAiMessage);
for (McpSchema.Tool mcpTool : toolsList.tools()) {
McpSchema.JsonSchema jsonSchema = mcpTool.inputSchema();
Parameters parameters = Parameters.builder()
.type(jsonSchema.type())
.properties(jsonSchema.properties())
.required(jsonSchema.required()).build();
Tools tool = Tools.builder()
.type(Tools.Type.FUNCTION.getName())
.function(ToolsFunction.builder().name(mcpTool.name()).description(mcpTool.description()).parameters(parameters).build())
.build();
tools.add(tool);
}
completion.setTools(tools);
ChatCompletionResponse chatCompletionResponse = openAiStreamClient.chatCompletion(completion);
String arguments = chatCompletionResponse.getChoices().get(0).getMessage().getToolCalls().get(0).getFunction().getArguments();
String name = chatCompletionResponse.getChoices().get(0).getMessage().getToolCalls().get(0).getFunction().getName();
Map<String, Object> map = JSONUtil.toBean(arguments, Map.class);
McpSchema.CallToolResult sumResult = client.callTool(new McpSchema.CallToolRequest(name, map));
System.out.println("add a+ b = " + sumResult.content().get(0));
McpSchema.Content content = sumResult.content().get(0);
emitter.send(sumResult.content().get(0));
} catch (IOException e) {
emitter.completeWithError(e);
}
var messageChatMemoryAdvisor = new MessageChatMemoryAdvisor(chatMemory, chatRequest.getUserId().toString(), 10);
emitter.complete();
return emitter;
Flux<String> content = chatClient
.prompt(chatRequest.getPrompt())
.advisors(messageChatMemoryAdvisor)
.stream().content();
content.publishOn(Schedulers.boundedElastic())
.doOnNext(text -> {
try {
emitter.send(text);
} catch (IOException e) {
emitter.completeWithError(e);
}
})
.doOnError(error -> {
log.error("Error in SSE stream: ", error);
emitter.completeWithError(error);
})
.doOnComplete(emitter::complete)
.subscribe();
}
}