Simple MCP Server

A simple, self-contained MCP (Model Context Protocol) server with basic utility functions. No API keys, no credit cards, no external dependencies required!

Features

• Get Current Time - UTC and local time
• Get Current Date - Multiple date formats
• Calculate - Basic mathematical operations
• Timezone Info - Get timezone information
• Generate Random Numbers - Generate random numbers in a range
• Execute Shell Commands - Run shell commands and get output
• Comprehensive Logging - All requests logged to local file for monitoring

Complete Setup Guide

Step 1: Start the Server

1. Navigate to the project directory:

   cd mcp
   

2. Build and start the Docker container:

   docker compose up --build
   

   This will:

   • Build the Docker image
   • Start the container
   • Expose the server on port 8000

3. Verify the server is running:

   # Check container status
   docker compose ps
   
   # Check logs (in another terminal)
   docker compose logs -f mcp-server
   
   # Test health endpoint (replace <remote-server-ip> with your server IP)
   curl -H "X-API-Key: your-secure-api-key-here" http://<remote-server-ip>:8000/health
   

   You should see:

   • Container status: Up
   • Logs showing: Uvicorn running on http://0.0.0.0:8000
   • Health check returning: {"status": "healthy"}

Step 2: Configure Cursor IDE

1. Open Cursor IDE

2. Open Command Palette:

   • Press Ctrl+Shift+P (Windows/Linux) or Cmd+Shift+P (Mac)
   • Type: MCP Settings or MCP: Configure

3. Add New MCP Server:

   • Click "Add New" or "+" button
   • You'll be prompted to add server configuration

4. Enter Server Configuration:

   Option A: Manual Entry

   • Name: simple-utils-server
   • URL: http://<remote-server-ip>:8000/sse
     • Replace <remote-server-ip> with your actual server IP address
     • Example: http://192.168.1.100:8000/sse or http://example.com:8000/sse
   • Transport: sse or SSE
   • Headers: Add X-API-Key: your-secure-api-key-here

   Option B: Import from mcp.json

   • Open the mcp.json file in this repository
   • Copy the entire contents
   • Paste it into the MCP settings configuration
   • Important: Replace <remote-server-ip> with your actual server IP address
   • The configuration should look like:

     {
       "mcpServers": {
         "simple-utils-server": {
           "url": "http://<remote-server-ip>:8000/sse",
           "transport": "sse",
           "headers": {
             "X-API-Key": "your-secure-api-key-here"
           }
         }
       }
     }
     

5. Save the Configuration:

   • Click "Save" or press Enter
   • Cursor will automatically connect to the server

6. Verify Connection:

   • Look for the MCP server status in Cursor's status bar
   • It should show: simple-utils-server: Connected
   • You should see 6 tools loaded

Step 3: Test the Connection

1. In Cursor's chat, try asking:

   "What time is it right now?"
   

2. The AI should:

   • Automatically use the get_current_time tool
   • Return the current time information

3. Try other commands:

   "Calculate sqrt(144) + 5"
   "Run the command 'echo hello world'"
   "Get today's date"
   

Troubleshooting Connection Issues

• Server not connecting?

  • Verify server is running: docker compose ps
  • Check server logs: docker compose logs mcp-server
  • Test server directly: curl http://<remote-server-ip>:8000/health

• Connection refused?

  • Check firewall allows port 8000
  • Verify the IP address is correct
  • Ensure server is listening on 0.0.0.0 (it is by default)

• Tools not loading?

  • Restart Cursor completely
  • Check MCP settings configuration is correct
  • Verify the URL includes /sse at the end

Security

The MCP server requires API key authentication for all requests.

API Key Authentication

Set the MCP_API_KEY environment variable:

export MCP_API_KEY="your-secure-api-key-here"

All requests must include the API key in the X-API-Key header:

curl -H "X-API-Key: your-secure-api-key-here" http://your-server:8000/health

Quick Start (Summary)

# 1. Start server
docker compose up --build

# 2. In Cursor: Ctrl+Shift+P -> MCP Settings -> Add New
#    URL: http://<remote-server-ip>:8000/sse
#    Transport: sse

# 3. Test: Ask "What time is it?"

Available Tools

1. get_current_time

Get the current time in UTC and local timezone.

Example:

{
  "tool": "get_current_time",
  "arguments": {}
}

2. get_current_date

Get the current date in various formats.

Example:

{
  "tool": "get_current_date",
  "arguments": {
    "format": "iso"
  }
}

Formats: iso, us, european, unix

3. calculate

Perform basic mathematical calculations.

Example:

{
  "tool": "calculate",
  "arguments": {
    "expression": "sqrt(16) + 2 * 3"
  }
}

Supported functions: sqrt, sin, cos, tan, log, log10, exp, pow, abs, round, floor, ceil, min, max, sum Constants: pi, e

4. get_timezone_info

Get information about a timezone.

Example:

{
  "tool": "get_timezone_info",
  "arguments": {
    "timezone": "America/New_York"
  }
}

5. generate_random_number

Generate random numbers within a specified range.

Example:

{
  "tool": "generate_random_number",
  "arguments": {
    "min_value": 1,
    "max_value": 100,
    "count": 5
  }
}

Parameters:

• min_value (optional): Minimum value (default: 1)
• max_value (optional): Maximum value (default: 100)
• count (optional): Number of random numbers to generate (default: 1, max: 100)

Returns: Random number(s) with range information

6. execute_command

Execute a shell command and return the output. WARNING: Use with caution as this can execute arbitrary commands.

Example:

{
  "tool": "execute_command",
  "arguments": {
    "command": "ls -la",
    "working_directory": "/tmp",
    "timeout": 30
  }
}

Parameters:

• command (required): Shell command to execute
• working_directory (optional): Working directory for the command
• timeout (optional): Timeout in seconds (default: 30)

Example commands:

• "ls -la" - List files
• "echo hello world" - Print text
• "python --version" - Check Python version
• "pwd" - Print working directory
• "date" - Get current date

Testing

Test with curl:

# Health check (replace <remote-server-ip> with your server IP)
curl http://<remote-server-ip>:8000/health

# Root endpoint
curl http://<remote-server-ip>:8000/

Test MCP Tools (using HTTP directly):

The server uses SSE for MCP protocol, but you can test the basic endpoints.

Firewall Configuration

If accessing from outside your VPS, open port 8000:

# Ubuntu/Debian
sudo ufw allow 8000/tcp

# CentOS/RHEL
sudo firewall-cmd --add-port=8000/tcp --permanent
sudo firewall-cmd --reload

Development

Run Locally (without Docker):

# Install dependencies
pip install -r requirements.txt

# Run the server
python server.py

The server will be available at http://<remote-server-ip>:8000

Project Structure

mcp/
├── server.py          # HTTP/SSE MCP server (for remote use)
├── requirements.txt   # Python dependencies
├── Dockerfile         # Docker image definition
├── docker-compose.yml # Docker compose configuration
└── README.md          # This file

Troubleshooting

1. Container won't start: Check logs with docker compose logs mcp-server

2. Port already in use: Change port in docker-compose.yml:

   ports:
     - "8001:8000"  # Use 8001 instead
   

3. Can't connect from Cursor:

   • Verify firewall allows port 8000
   • Check that container is running: docker compose ps
   • Verify the URL is correct: http://<remote-server-ip>:8000/sse

4. Connection refused:

   • Ensure the server is listening on 0.0.0.0 (it is by default)
   • Check VPS firewall rules

Security Notes

• The server has CORS enabled for all origins (for testing)
• For production, consider:
  • Restricting CORS origins
  • Adding authentication
  • Using HTTPS with a reverse proxy (nginx/traefik)
  • Restricting firewall access to trusted IPs

Useful Commands

# View logs
docker compose logs -f mcp-server

# Restart the server
docker compose restart mcp-server

# Stop the server
docker compose down

# Rebuild and restart
docker compose up -d --build

# Check container status
docker compose ps

No External Dependencies!

This server uses only:

• Python standard library (datetime, math, json)
• MCP SDK (for protocol)
• FastAPI/Uvicorn (for HTTP server)

Logging

The server automatically logs all requests to a local text file (requests_log.txt) with comprehensive information including:

• Client Information: IP address, User-Agent, headers, etc.
• Request Details: Tool called, arguments, timestamps
• Response Data: Full response content, success/failure status
• Server Info: Request ID, server version, processing time

Log File Format

Each log entry includes:

• Unique request ID
• UTC timestamp
• Complete request/response data in JSON format
• Success/failure indicators

Viewing Logs

# View recent logs (on host machine)
tail -f logs/requests_log.txt

# Search for specific tool calls
grep "tool_name" logs/requests_log.txt

# Count total requests
grep "REQUEST LOG ENTRY" logs/requests_log.txt | wc -l

Note: The log file is automatically persisted on the host machine in the ./logs/ directory using Docker volumes. This means logs survive container restarts and can be accessed even after the container is stopped. The logs contain sensitive information - monitor them for security and debugging purposes.

No External Dependencies!

This server uses only:

• Python standard library (datetime, math, json, random, os, sys, uuid)
• MCP SDK (for protocol)
• FastAPI/Uvicorn (for HTTP server)

No API keys, no credit cards, no external services required!