MCP Server Boilerplate

MCP Server Boilerplate

A ready-to-use starter implementation of the Model Context Protocol (MCP) server that enables applications to provide standardized context for LLMs with sample resources, tools, and prompts.

Category
访问服务器

README

MCP Server Boilerplate

MCP TypeScript SDK NPM Version MIT License

A boilerplate server implementation for the Model Context Protocol (MCP), built with TypeScript and Express.

Table of Contents

Overview

This project implements a server that follows the Model Context Protocol (MCP), which allows applications to provide context for LLMs in a standardized way. It includes:

  • A fully configured MCP server with HTTP and stdio transport options
  • Sample resources, tools, and prompts to demonstrate key functionality
  • TypeScript support for type safety and better developer experience
  • Express integration for the HTTP transport layer

Project Structure

mcp-server-boilerplate/
├── .env                  # Environment variables
├── .env.example          # Example environment variables
├── .gitignore            # Git ignore file
├── package.json          # Project dependencies and scripts
├── tsconfig.json         # TypeScript configuration
├── src/
│   ├── index.ts          # Main HTTP server entry point
│   ├── stdio.ts          # Stdio server entry point
│   ├── resources/        # MCP resources
│   │   ├── index.ts      # Resource registration
│   │   ├── infoResource.ts # Static info resource
│   │   └── greetingResource.ts # Dynamic greeting resource
│   ├── tools/            # MCP tools
│   │   ├── index.ts      # Tool registration
│   │   ├── calculatorTool.ts # Sample calculator tool
│   │   └── timestampTool.ts # Sample timestamp tool
│   └── prompts/          # MCP prompts
│       ├── index.ts      # Prompt registration
│       ├── greetingPrompt.ts # Sample greeting prompt
│       └── analyzeDataPrompt.ts # Sample data analysis prompt
└── dist/                 # Compiled JavaScript output

Getting Started

Prerequisites

  • Node.js (v18 or later)
  • npm or yarn

Installation

Clone the repository and install dependencies:

git clone https://github.com/yourusername/mcp-server-boilerplate.git
cd mcp-server-boilerplate
npm install

Environment Variables

Copy the example environment file and modify as needed:

cp .env.example .env

Available environment variables:

  • PORT: The port for the HTTP server (default: 3000)
  • NODE_ENV: Environment mode (development, production)
  • OAuth settings (if needed)

Running the Server

HTTP Server

Build and start the HTTP server:

npm run build
npm start

For development with auto-restart:

npm run dev

The server will be available at http://localhost:3000/mcp (or the port specified in your .env file).

Stdio Mode

To run the server in stdio mode (for command-line tools):

npm run start:stdio

For development with auto-restart:

npm run dev:stdio

Resources

The boilerplate includes these example resources:

  1. Static Info Resource: info://server

    • Provides basic information about the server
  2. Dynamic Greeting Resource: greeting://{name}

    • Generates a personalized greeting with the provided name parameter

To access resources:

  • Through the MCP protocol
  • Using an MCP client library

Tools

The boilerplate includes these example tools:

  1. Calculator: Performs basic arithmetic operations

    • Parameters:
      • operation: Operation to perform (add, subtract, multiply, divide)
      • a: First number
      • b: Second number
  2. Timestamp: Provides the current time in various formats

    • Parameters:
      • format: Output format (iso, unix, readable)

Prompts

The boilerplate includes these example prompts:

  1. Greeting: Creates a personalized greeting prompt

    • Parameters:
      • name: Name to greet
      • formal: Whether to use formal greeting style (optional)
  2. Analyze Data: Creates a prompt for data analysis

    • Parameters:
      • data: The data to analyze
      • format: Data format (json, csv, text)
      • instructions: Additional analysis instructions (optional)

Extending the Server

Adding Resources

To add a new resource:

  1. Create a new file in src/resources/ (e.g., myResource.ts)
  2. Implement your resource handler
  3. Register it in src/resources/index.ts

Example:

// myResource.ts
import { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js';

export function myResource(server: McpServer): void {
  server.resource('my-resource', 'my-resource://path', async uri => ({
    contents: [
      {
        uri: uri.href,
        text: 'My resource content',
      },
    ],
  }));
}

// Then add to resources/index.ts
import { myResource } from './myResource.js';

export function registerResources(server: McpServer): void {
  // ...existing resources
  myResource(server);
}

Adding Tools

To add a new tool:

  1. Create a new file in src/tools/ (e.g., myTool.ts)
  2. Implement your tool handler
  3. Register it in src/tools/index.ts

Example:

// myTool.ts
import { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js';
import { z } from 'zod';

export function myTool(server: McpServer): void {
  server.tool('my-tool', { param: z.string() }, async ({ param }) => ({
    content: [
      {
        type: 'text',
        text: `Processed: ${param}`,
      },
    ],
  }));
}

// Then add to tools/index.ts
import { myTool } from './myTool.js';

export function registerTools(server: McpServer): void {
  // ...existing tools
  myTool(server);
}

Adding Prompts

To add a new prompt:

  1. Create a new file in src/prompts/ (e.g., myPrompt.ts)
  2. Implement your prompt handler
  3. Register it in src/prompts/index.ts

Example:

// myPrompt.ts
import { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js';
import { z } from 'zod';

export function myPrompt(server: McpServer): void {
  server.prompt('my-prompt', { topic: z.string() }, ({ topic }) => ({
    messages: [
      {
        role: 'user',
        content: {
          type: 'text',
          text: `Please explain ${topic} in simple terms.`,
        },
      },
    ],
  }));
}

// Then add to prompts/index.ts
import { myPrompt } from './myPrompt.js';

export function registerPrompts(server: McpServer): void {
  // ...existing prompts
  myPrompt(server);
}

Testing and Debugging

To test your MCP server, you can use:

  • The MCP Inspector tool
  • MCP client libraries
  • Direct HTTP requests (for debugging)

License

This project is licensed under the MIT License - see the LICENSE file for details.

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