MCP Server Boilerplate

Integrations

  • Enables configuration of the MCP server through environment variables, supporting settings for port configuration, environment mode, and OAuth settings.

  • Provides the HTTP transport layer for the MCP server, allowing it to serve MCP resources, tools, and prompts over a RESTful API interface.

  • Serves as the runtime environment for the MCP server, enabling both HTTP and stdio transport options.

MCP Server Boilerplate

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.

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security - not tested
F
license - not found
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quality - not tested

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

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.

  1. Table of Contents
    1. Overview
      1. Project Structure
        1. Getting Started
          1. Prerequisites
          2. Installation
          3. Environment Variables
        2. Running the Server
          1. HTTP Server
          2. Stdio Mode
        3. Resources
          1. Tools
            1. Prompts
              1. Extending the Server
                1. Adding Resources
                2. Adding Tools
                3. Adding Prompts
              2. Testing and Debugging
                1. License

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