MCP Server with Tool, Resource, Prompt, and Sampling

MCP Server with Tool, Resource, Prompt, and Sampling

Enables LLMs to read and write local user data, generate fake users via sampling, and interact with structured prompts and resources.

Category
访问服务器

README

MCP Server with Tool, Resource, Prompt, and Sampling

A full-featured Model Context Protocol (MCP) server built with Node.js and TypeScript. This project demonstrates how to implement and integrate the core capabilities of MCP into a single server, communicating over stdio.

🚀 Features

This server showcases the four main pillars of the Model Context Protocol:

  • Resources (users://all): Exposes local data to the LLM. It safely reads from src/data/users.json using node:fs so the LLM can analyze existing user data.
  • Tools (create-user): Allows the LLM to take action by securely writing new user data to the local file system with strict validation via zod.
  • Sampling (create-random-user): Demonstrates server-to-client LLM requests. When triggered, the server uses the sampling/createMessage endpoint to ask the client LLM to generate fake user data, parses the response, and automatically saves it.
  • Prompts: Configured to support structured prompt templates that guide the LLM's interactions with the provided tools and resources.

🛠️ Prerequisites

  • Node.js: v20 or higher (Tested on v24)
  • Package Manager: yarn or npm

📦 Installation

  1. Clone the repository and navigate to the directory:

    cd mcp-server-sampling
    

    Install dependencies:

    yarn install
    

    (Ensure @modelcontextprotocol/sdk and zod are installed).

Initialize the data file: Ensure you have an empty or valid JSON array in src/data/users.json:

JSON:🏗️ Build & Run

Because this project uses modern ES Modules (ESM) and is strictly typed, you must build the project before connecting it to an MCP client like VS Code.

Compile the TypeScript code to JavaScript:

Bash yarn build (This outputs the compiled code to the /build directory).

(Optional) Test the server locally using the MCP Inspector:

npx @modelcontextprotocol/inspector node build/server.js

🔌 VS Code Configuration

To connect this server to VS Code (or Cursor/Claude Desktop), you need to register it in your client's MCP settings.

For VS Code, update your configuration (usually found in your MCP settings file) to point to the compiled server.js file:

{
  "mcp.servers": {
    "my-mcp-server-sampling": {
      "type": "stdio",
      "command": "node",
      "args": ["${workspaceFolder}/build/server.js"],
      "cwd": "${workspaceFolder}"
    }
  }
}

⚠️ Important Troubleshooting Note:

Always remember to run yarn build after making any changes to src/server.ts. VS Code executes the compiled build/server.js file, so if you skip the build step, your changes will not be reflected in the IDE.

🐛 Common Pitfalls Avoided

ESM Imports: All @modelcontextprotocol/sdk imports include the .js extension to comply with strict Node.js ESM resolution.

Stdio Corruption: Uses console.error exclusively for logging to prevent corrupting the JSON-RPC stdout stream used for client-server communication.

Dynamic JSON Loading: Uses node:fs with absolute paths rather than import statements to reliably read users.json both in development (tsx) and production (node).

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选