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MCP-Server 项目文档

@chenshuai2144

Repository

Basic information

Category

Other

Transports

stdio

Author

chenshuai2144

About MCP-Server 项目文档

mcp-server

MCP-Server 项目文档 config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-server-chenshuai2144": {
      "command": "node",
      "args": [
        "dist/src/index.js"
      ]
    }
  }
}

MCP-Server 项目文档 tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP-Server?

MCP-Server 是一个基于 Model Context Protocol (MCP) 的服务端和客户端实现，允许大语言模型（LLM）通过结构化协议调用外部工具完成复杂任务。它包含两部分：MCP 服务端负责注册和执行工具，以及 TypeScript 实现的客户端负责协调模型调用与工具调用。

How to use MCP-Server?

首先启动服务端 node dist/src/index.js，然后启动客户端并指定服务端脚本路径 node dist/mcp-client-typescript/src/index.js /path/to/server/script.js。也可通过 Web API 发送 POST 请求到 http://localhost:3000/sse，在请求体中传入 query 字段。

Key features of MCP-Server

  • 支持天气预报和 GitHub 用户信息查询工具
  • 通过标准输入输出（stdio）与服务端通信
  • 集成 Deepseek 大语言模型（通过 OpenAI 兼容 API）
  • 提供命令行交互界面和 Express Web API
  • 支持流式输出和白盒过程可视化

Use cases of MCP-Server

  • 让 LLM 实时获取天气数据并回答相关问题
  • 让 LLM 查询 GitHub 用户信息并整合回答
  • 作为学习 MCP 协议和工具调用架构的参考示例
  • 在 Web 应用中通过 HTTP 接口调用增强 LLM 能力

Frequently asked questions

1

需要哪些环境变量？

需要在 `.env` 文件中设置 `LLM_API_KEY`（Deepseek API 密钥）和 `GAODE_KEY`（高德地图 API 密钥，用于天气查询）。

2

客户端默认使用哪个大语言模型？

客户端默认使用 Deepseek，通过 OpenAI 兼容 API 进行通信。

3

服务端和客户端如何通信？

服务端和客户端通过标准输入输出（stdio）进行通信，使用 Model Context Protocol 协议。

4

如何查看白盒过程可视化？

客户端实现了白盒过程展示，用户可以看到意图识别、工具选择、工具调用参数与结果以及最终答案生成过程。

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