About MCP Server Boilerplate
MCP Server Boilerplate is a TypeScript and Express template for developers building or extending MCP servers. It includes HTTP and stdio transports plus example resources, tools, and prompts.
Key features
- 01HTTP and stdio transports
- 02TypeScript and Express
- 03Example resources, tools, and prompts
- 04Extensible module structure
Use cases
- 01Start a new MCP server project
- 02Add custom resources or tools to a server
- 03Test a server in HTTP or stdio mode
MCP support
The template implements an MCP server that communicates with clients over HTTP or stdio and includes example resources, tools, and prompts.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEMCP Server Boilerplate
A boilerplate server implementation for the Model Context Protocol (MCP), built with TypeScript and Express.
Table of Contents
- Overview
- Project Structure
- Getting Started
- Running the Server
- Resources
- Tools
- Prompts
- Extending the Server
- Testing and Debugging
- License
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:
-
Static Info Resource:
info://server- Provides basic information about the server
-
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:
-
Calculator: Performs basic arithmetic operations
- Parameters:
operation: Operation to perform (add, subtract, multiply, divide)a: First numberb: Second number
- Parameters:
-
Timestamp: Provides the current time in various formats
- Parameters:
format: Output format (iso, unix, readable)
- Parameters:
Prompts
The boilerplate includes these example prompts:
-
Greeting: Creates a personalized greeting prompt
- Parameters:
name: Name to greetformal: Whether to use formal greeting style (optional)
- Parameters:
-
Analyze Data: Creates a prompt for data analysis
- Parameters:
data: The data to analyzeformat: Data format (json, csv, text)instructions: Additional analysis instructions (optional)
- Parameters:
Extending the Server
Adding Resources
To add a new resource:
- Create a new file in
src/resources/(e.g.,myResource.ts) - Implement your resource handler
- 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:
- Create a new file in
src/tools/(e.g.,myTool.ts) - Implement your tool handler
- 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:
- Create a new file in
src/prompts/(e.g.,myPrompt.ts) - Implement your prompt handler
- 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.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.