Simple MCP Server
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README
Simple MCP Server
这是一个示例项目,用极简方式演示如何构建MCP Server。
- 天气查询：使用高德开放平台提供的天气查询API实现MCP Server，可获取实况和未来天气.
效果演示
如上图：
- 用户问"西安今天用穿棉袄吗"
- AI自动判断是否要调用天气MCP Server
- AI按照MCP Server的参数要求，将
西安的经纬度信息提供给MCP Server - MCP Server内部调用了高德提供的天气查询API，并将结果返回给AI
- AI将天气结果进行汇总整理，输出给用户
环境准备
MCP Server 构建和执行
- Java 17 or later
- Maven 3.6 or later
- Understanding of Spring Boot and Spring AI concepts
- (Optional) Claude Desktop for AI assistant integration
MCP Client和大模型
支持MCP协议的任何AI对话客户端程序都可以，如：Cline、Continue、Claude Desktop等, 本例使用Cherry Studio。
Cherry Studio是一个AI对话客户端，其支持很多个大模型提供商，如：硅基流动、阿里云百炼、OpenAI等几十个国内外提供商，各提供商分别提供很多大模型服务，各个大模型的能力也有差异，有免费和收费的，也有不同作用和能力的。 当然，Cherry Studio也支持本地运行的大模型，如：Ollama、LLM Studio等。
本文使用硅基流动提供的Qwen2.5-7B-Instruct模型，请先注册硅基流动账户，申请API密钥，并在Cherry Studio中配置API密钥。
注意：请选择带有Function Call功能的大模型(Cherry Studio中带🔧符合的大模型)，如：Qwen2.5-7B-Instruct。
高德开放平台API密钥
从高德开放平台申请Web API密钥(key)。
构建
Building and Running
The server uses STDIO transport mode and is typically started automatically by the client. To build the server jar:
./mvnw clean install -DskipTests
构建完成后，在项目路径下会产生target/mcp-weather-stdio-server-0.0.1-SNAPSHOT.jar文件。
安装使用
在 Cherry Studio中打开设置/MCP服务器,添加MCP服务器，如下图：
- 名称: 随意写
- 类型：STDIO
- 命令：node
- 参数：刚才构建的执行文件路径,即
/Users/yourname/simple-mcp-server/build/index.js - 环境变量:
GAODE_API_KEY:高德开放平台申请的Web API 32位密钥GAODE_API_KEY=your_api_keyDINGTALK_ACCESS_TOKEN: 创建钉钉群机器人的Webhook 地址后面的64位密钥DINGTALK_ACCESS_TOKEN=your_access_token
使用
在Cherry Studio中新建对话，对话框下方开启MCP服务器和刚才安装的MCP Server。
注意：当选择了带有Function Call功能的大模型时，下方才有MCP相关选项。
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