sample-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@sample-mcpadd 5 and 3"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Sample MCP Server
A sample MCP (Model Context Protocol) server built with Node.js and TypeScript, demonstrating the three core primitives: Tools, Resources, and Prompts.
What is MCP?
Model Context Protocol (MCP) is an open protocol that standardizes how applications provide context to Large Language Models (LLMs). Think of it as a "USB-C port for AI" - a universal connector that allows AI assistants to interact with various data sources and tools in a consistent way.
MCP enables:
AI models to access external data and services
Developers to build integrations that work across multiple AI platforms
Secure, controlled interactions between AI and external systems
Related MCP server: Basic MCP Server
MCP Core Primitives
MCP defines three fundamental primitives:
1. Tools
Tools are functions that the AI can execute to perform actions or computations. They allow the model to interact with external systems, run calculations, or trigger workflows.
Characteristics:
Invoked by the AI model
Can have input parameters with validation
Return results back to the model
Used for actions like: API calls, calculations, file operations, database queries
Example from this project:
// Tool: greet - Greets a user by name
server.registerTool(
'greet',
{
description: 'Greets a user by name',
inputSchema: {
name: z.string().describe('The name of the person to greet'),
},
},
async ({ name }) => {
return {
content: [{ type: 'text', text: `Hello, ${name}! Welcome to the MCP server.` }],
}
},
)
// Tool: add - Adds two numbers together
server.registerTool(
'add',
{
description: 'Adds two numbers together',
inputSchema: {
a: z.number().describe('First number'),
b: z.number().describe('Second number'),
},
},
async ({ a, b }) => {
return {
content: [{ type: 'text', text: `The sum of ${a} and ${b} is ${a + b}` }],
}
},
)2. Resources
Resources represent data that the AI can read and use as context. They provide a way to expose information from various sources (files, databases, APIs) to the model.
Characteristics:
Read-only data access
Can be static (fixed URI) or dynamic (URI templates)
Support various MIME types (JSON, text, images, etc.)
Used for: configuration data, user profiles, documents, database records
Example from this project:
// Static Resource: Application configuration
server.registerResource(
'config',
'config://app',
{
description: 'Application configuration',
mimeType: 'application/json',
},
async () => {
return {
contents: [{
uri: 'config://app',
mimeType: 'application/json',
text: JSON.stringify({
appName: 'Sample MCP',
version: '1.0.0',
features: ['tools', 'resources', 'prompts'],
}, null, 2),
}],
}
},
)
// Dynamic Resource: User profile with URI template
server.registerResource(
'user-profile',
'users://{userId}/profile',
{
description: 'User profile by ID',
mimeType: 'application/json',
},
async (uri, extra) => {
const { userId } = extra as unknown as { userId: string }
// Fetch user data based on userId...
return {
contents: [{
uri: uri.href,
mimeType: 'application/json',
text: JSON.stringify(userData, null, 2),
}],
}
},
)3. Prompts
Prompts are reusable prompt templates that help standardize interactions with the AI. They can include predefined instructions, context, and optional arguments for customization.
Characteristics:
Pre-defined message templates
Can accept arguments for customization
Help ensure consistent AI interactions
Used for: code review templates, analysis prompts, standardized queries
Example from this project:
// Simple Prompt: No arguments required
server.registerPrompt(
'explain-code',
{
description: 'Prompt for explaining code',
},
async () => {
return {
messages: [{
role: 'user',
content: {
type: 'text',
text: 'Please explain the following code in detail, including its purpose, how it works, and any potential improvements.',
},
}],
}
},
)
// Parameterized Prompt: Accepts arguments for customization
server.registerPrompt(
'review-code',
{
description: 'Prompt for code review with specified focus',
argsSchema: {
language: z.string().describe('Programming language of the code'),
focus: z.string().optional().describe('Focus area: security, performance, readability'),
},
},
async ({ language, focus }) => {
const focusArea = focus || 'general best practices'
return {
messages: [{
role: 'user',
content: {
type: 'text',
text: `Please review the following ${language} code with a focus on ${focusArea}. Provide specific suggestions for improvement.`,
},
}],
}
},
)Comparison Table
Primitive | Purpose | Direction | Use Case |
Tools | Execute actions | AI → Server | Calculations, API calls, data mutations |
Resources | Provide data | Server → AI | Configuration, documents, user data |
Prompts | Template messages | Server → AI | Standardized instructions, reusable queries |
Getting Started
Prerequisites
Node.js 18+
npm or yarn
Installation
# Clone the repository
git clone https://github.com/your-username/sample-mcp.git
cd sample-mcp
# Install dependencies
npm install
# Build the project
npm run buildRunning the Server
# Start the MCP server
npm start
# Or run in development mode with auto-rebuild
npm run devIntegration with AI Clients
To use this MCP server with an AI client (like Claude Desktop), add it to your MCP configuration:
{
"mcpServers": {
"sample-mcp": {
"command": "node",
"args": ["/path/to/sample-mcp/dist/main.js"]
}
}
}Project Structure
sample-mcp/
├── src/
│ ├── main.ts # Main entry point and server setup
│ ├── tools.ts # Tool definitions (greet, add)
│ ├── resources.ts # Resource definitions (config, user-profile)
│ └── prompts.ts # Prompt definitions (explain-code, review-code)
├── dist/ # Compiled JavaScript output
├── package.json # Project dependencies and scripts
├── tsconfig.json # TypeScript configuration
└── README.md # This fileDependencies
@modelcontextprotocol/sdk: Official MCP SDK for building servers
zod: TypeScript-first schema validation for input validation
Learn More
License
ISC
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