mcp-simple-server

mcp-simple-server

Provides basic tools for echoing messages, adding numbers, and getting the current timestamp.

Category
Visit Server

README

MCP Simple Server

A simple Model Context Protocol (MCP) server with three basic tools: echo, add numbers, and get timestamp.

Supports both stdio and HTTP/WebSocket transport modes for flexible deployment options.

Features

  • echo: Echoes back any message you provide
  • add: Adds two numbers together
  • get_timestamp: Returns the current timestamp in ISO 8601 format
  • Dual Mode Support: Run in stdio mode (local) or HTTP/WebSocket mode (remote)
  • HTTP REST API: Health checks and server info endpoints
  • WebSocket Support: Real-time MCP protocol communication

Installation

npm install

Building

npm run build

Running the Server

stdio Mode (Default - Local Development)

npm start
# or
MCP_MODE=stdio node dist/index.js

HTTP/WebSocket Mode (Remote Access)

MCP_MODE=http PORT=3000 node dist/index.js

Once running in HTTP mode, access:

  • Health check: http://localhost:3000/health
  • Server info: http://localhost:3000/
  • WebSocket: ws://localhost:3000/

Tools

echo

Echoes back the provided message.

Arguments:

  • message (string, required): The message to echo back

Example:

{
  "message": "Hello, World!"
}

add

Adds two numbers together.

Arguments:

  • a (number, required): The first number
  • b (number, required): The second number

Example:

{
  "a": 5,
  "b": 3
}

get_timestamp

Returns the current timestamp in ISO 8601 format.

Arguments: None

Deployment

AWS EC2 Deployment

Deploy to AWS EC2 with automated setup using AWS CloudShell. See AWS_DEPLOYMENT.md for detailed instructions.

Quick Start:

# From AWS CloudShell
curl -O https://raw.githubusercontent.com/joeleesuh/mcp-simple-server/main/scripts/deploy-to-ec2.sh
chmod +x deploy-to-ec2.sh
./deploy-to-ec2.sh

Includes:

  • Automated EC2 instance provisioning (t3.micro - Free Tier eligible)
  • Auto-install Node.js and dependencies
  • Runs in HTTP mode on port 3000 with WebSocket support
  • Security group configured for port 3000 access
  • Systemd service setup with environment variables
  • AWS Session Manager access (no SSH keys required)

After deployment, access the server at:

  • http://<PUBLIC_IP>:3000/health - Health check
  • http://<PUBLIC_IP>:3000/ - Server info
  • ws://<PUBLIC_IP>:3000/ - WebSocket endpoint

Deployment to smithery.ai

This project is configured for deployment on Smithery.ai with:

  • Dockerfile - Multi-stage Docker build for optimized container image
  • smithery.yaml - Smithery configuration for stdio-based MCP server
  • .dockerignore - Excludes unnecessary files from Docker build

Prerequisites

  1. Create a GitHub repository for this project
  2. Push your code to GitHub (including Dockerfile and smithery.yaml)
  3. Create an account on smithery.ai
  4. (Optional) Test Docker build locally: docker build -t mcp-simple-server .

Steps to Deploy

  1. Push to GitHub (if not already done):

    git add .
    git commit -m "Add Smithery deployment configuration"
    git push
    
  2. Deploy on smithery.ai:

    • Go to smithery.ai
    • Sign in with your GitHub account
    • Click "New Server" or "Deploy Server"
    • Connect your GitHub repository
    • Select the mcp-simple-server repository
    • Smithery will automatically detect Dockerfile and smithery.yaml
    • Click "Deploy"
  3. Use Your Server:

    • Once deployed, Smithery will provide installation instructions
    • You can install it with: npx @smithery/cli install <your-server-name>
    • Or use it directly in Claude Desktop or other MCP clients

Example Claude Desktop Configuration

After deployment, add this to your Claude Desktop configuration:

{
  "mcpServers": {
    "simple-server": {
      "command": "npx",
      "args": ["-y", "@smithery/mcp-simple-server"]
    }
  }
}

Or if testing locally:

{
  "mcpServers": {
    "simple-server": {
      "command": "node",
      "args": ["C:/Users/User/mcp-simple-server/dist/index.js"]
    }
  }
}

Development

Project Structure

mcp-simple-server/
├── src/
│   └── index.ts              # Main server implementation
├── scripts/
│   ├── deploy-to-ec2.sh      # AWS CloudShell deployment script
│   └── user-data.sh          # EC2 instance initialization script
├── dist/                     # Compiled JavaScript (generated)
├── Dockerfile                # Docker container configuration
├── smithery.yaml             # Smithery deployment configuration
├── .dockerignore             # Docker build exclusions
├── package.json              # Dependencies and scripts
├── tsconfig.json             # TypeScript configuration
├── README.md                # This file
└── AWS_DEPLOYMENT.md        # AWS EC2 deployment guide

Adding New Tools

To add new tools, modify src/index.ts:

  1. Add the tool definition to the TOOLS array
  2. Add a new case in the CallToolRequestSchema handler switch statement
  3. Rebuild the project: npm run build

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured