NTP MCP Server 🕒

A Model Context Protocol (MCP) server that provides accurate time information from Network Time Protocol (NTP) servers with timezone support and structured output formatting.

Add NTP MCP Server to LM Studio

Add NTP MCP Server Docker to LM Studio

✨ Features

• 🌍 Multiple NTP Server Support: Connect to any NTP server worldwide

• 🕰️ Timezone Conversion: Automatic timezone conversion with pytz

• 📋 Structured Output Format: Clean, parseable time format with separate date, time, and timezone components

• 🔄 Fallback Mechanism: Falls back to local time if NTP is unavailable

• 🐳 Ultra-Lightweight Docker: Alpine Linux base image (~50MB) for minimal footprint

• ⚡ Retry Logic: Automatic retry with exponential backoff

• 🔧 Configurable: Environment variable configuration

• 📋 MCP Compatible: Works with Claude Desktop and other MCP clients

• 🧪 Comprehensive Testing: Full test suite with format validation

Related MCP server: chuk-mcp-time

🕐 Time Output Format

The NTP server now outputs time in a structured, easy-to-parse format:

Date:YYYY-MM-DD
Time:HH:mm:ss
Timezone:timezone_name

Example Outputs

Successful NTP Response:

Date:2025-07-25
Time:14:30:25
Timezone:UTC

Fallback Response (when NTP unavailable):

Date:2025-07-25
Time:14:30:25
Timezone:UTC (local fallback)

Benefits of the New Format

• ✅ More structured and easier to parse

• ✅ Separate date and time components

• ✅ Clear timezone information

• ✅ Consistent formatting across all responses

• ✅ Machine-readable and human-friendly

🚀 Quick Start

Using Docker (Recommended)

# Build the Docker image
docker build -t ntp-mcp-server .

# Run with default settings
docker run --rm -i ntp-mcp-server

# Run with custom NTP server and timezone
docker run --rm -i \
  -e NTP_SERVER=time.google.com \
  -e TZ=America/New_York \
  ntp-mcp-server

Using Docker Compose

# Start the service
docker-compose up -d

# View logs
docker-compose logs -f

# Stop the service
docker-compose down

Direct Python Installation

# Install dependencies
pip install -r requirements.txt

# Run the server
python app.py

📦 Installation

Prerequisites

• Docker (recommended) or Python 3.11+

• MCP Client (Claude Desktop, etc.)

Method 1: Docker Installation

1. Clone the repository:

   git clone <your-repo-url>
   cd ntp-mcp-server

2. Build the Docker image:

   docker build -t ntp-mcp-server .

3. Configure your MCP client using mcp-docker.json

Method 2: Python Installation

1. Clone and setup:

   git clone <your-repo-url>
   cd ntp-mcp-server
   pip install -r requirements.txt

2. Configure your MCP client using mcp.json

⚙️ Configuration

Environment Variables

Supported NTP Servers

• pool.ntp.org (default)

• time.google.com

• time.cloudflare.com

• time.apple.com

• time.nist.gov

• Any RFC 5905 compliant NTP server

Supported Timezones

Any timezone supported by the pytz library:

• UTC

• America/New_York

• Europe/London

• Asia/Tokyo

• Australia/Sydney

• And many more...

🔧 MCP Client Configuration

For Claude Desktop

Add to your Claude Desktop configuration:

Docker Version (Recommended)

{
  "mcpServers": {
    "ntp-server-docker": {
      "command": "docker",
      "args": ["run", "--rm", "-i", "-e", "NTP_SERVER", "-e", "TZ", "ntp-mcp-server"],
      "env": {
        "NTP_SERVER": "pool.ntp.org",
        "TZ": "UTC"
      }
    }
  }
}

Python Version

{
  "mcpServers": {
    "ntp-server": {
      "command": "python",
      "args": ["app.py"],
      "cwd": "/path/to/your/ntp/project",
      "env": {
        "NTP_SERVER": "pool.ntp.org",
        "TZ": "UTC"
      }
    }
  }
}

🛠️ Available Tools

get_current_time

Retrieves the current time from the configured NTP server in structured format.

Parameters: None

Returns: Current time in structured format with separate date, time, and timezone components

Example Response:

Date:2025-07-25
Time:14:30:25
Timezone:UTC

Fallback Behavior:

• If NTP server is unreachable, falls back to local system time

• Fallback responses include "(local fallback)" indicator

• Returns error message if all time sources fail

🧪 Testing

The project includes a comprehensive test suite with format validation:

Available Test Scripts

1. test/simple_test.py - Windows-compatible direct testing

2. test/test_mcp.py - Basic MCP protocol testing with format validation

3. test/test_mcp_proper.py - Advanced MCP protocol testing

4. test/test_mcp_docker.py - Comprehensive Docker testing

5. test/test_direct_docker.py - Direct Docker container testing

6. test/run_all_tests.py - Comprehensive test runner

Run All Tests

# Run comprehensive test suite
python test/run_all_tests.py

# Run individual tests
python test/simple_test.py           # Simple direct testing
python test/test_mcp_docker.py       # Docker functionality
python test/test_mcp_proper.py       # MCP protocol testing
python test/test_mcp.py              # Basic functionality

Test Coverage

The test suite validates:

• ✅ Time format structure (Date:YYYY-MM-DD, Time:HH:mm:ss, Timezone:name)

• ✅ Multiple NTP servers (pool.ntp.org, time.google.com, time.cloudflare.com)

• ✅ Different timezones (UTC, America/New_York, Europe/London, Asia/Tokyo)

• ✅ Docker containerization with full MCP protocol

• ✅ Environment variable configuration

• ✅ Fallback behavior when NTP is unavailable

• ✅ MCP protocol compliance (initialization, tools list, tool calls)

Manual Testing

# Test direct function call
python -c "import app, asyncio; result = asyncio.run(app.handle_call_tool('get_current_time', {})); print(result[0].text)"

# Start a container for testing
docker run --rm -i -e NTP_SERVER=time.google.com -e TZ=America/New_York ntp-mcp-server

# Send MCP requests (in another terminal)
echo '{"jsonrpc": "2.0", "id": 1, "method": "initialize", "params": {"protocolVersion": "2024-11-05", "capabilities": {}, "clientInfo": {"name": "test", "version": "1.0.0"}}}' | docker exec -i <container-id> cat

🐳 Docker Details

Image Information

• Base Image: python:3.11-alpine

• Size: ~50MB (significantly reduced from previous slim image)

• Architecture: Multi-platform support

• Benefits: Ultra-lightweight Alpine Linux base for minimal footprint

Build Arguments

# Build with custom tag
docker build -t my-ntp-server .

# Build for specific platform
docker build --platform linux/amd64 -t ntp-mcp-server .

# Build for ARM64 architecture
docker build --platform linux/arm64 -t ntp-mcp-server:arm64 .

# Build for multiple architectures (requires Docker Buildx)
docker buildx create --name multiarch-builder --use
docker buildx build --platform linux/amd64,linux/arm64 -t username/ntp-mcp-server:latest --push .

Volume Mounts

No persistent volumes required - this is a stateless service.

📊 Project Structure

ntp-mcp-server/
├── app.py                      # Main MCP server implementation
├── requirements.txt            # Python dependencies
├── Dockerfile                  # Docker build configuration
├── docker-compose.yml          # Docker Compose setup
├── .dockerignore               # Docker build optimization
├── .gitignore                  # Git ignore configuration
├── LICENSE                     # License information
├── config/
│   ├── mcp.json                # MCP client config (Python)
│   └── mcp-docker.json         # MCP client config (Docker)
├── test/
│   ├── simple_test.py          # Windows-compatible direct testing
│   ├── test_mcp.py             # Basic functionality tests with format validation
│   ├── test_mcp_proper.py      # Advanced MCP protocol tests
│   ├── test_mcp_docker.py      # Comprehensive Docker tests
│   ├── test_direct_docker.py   # Direct container tests
│   └── run_all_tests.py        # Comprehensive test runner
└── README.md                   # This file

🔍 Troubleshooting

Common Issues

"Processing request of type ListToolsRequest" Error

This is NOT an error! This is normal debug logging. The message:

[ERROR] [Plugin(mcp/ntp-server-docker)] stderr: INFO:mcp.server.lowlevel.server:Processing request of type ListToolsRequest

Means your server is working correctly. The INFO: indicates it's just debug information.

Container Exits Immediately

MCP servers are designed to run as stdio servers. They exit when stdin is closed, which is normal behavior.

NTP Server Unreachable

The server will automatically fall back to local time if the NTP server is unreachable. Check your network connectivity and firewall settings.

Timezone Not Found

Ensure you're using a valid timezone identifier from the pytz documentation.

Time Format Issues

The new structured format should always return:

Date:YYYY-MM-DD
Time:HH:mm:ss
Timezone:timezone_name

If you see different formatting, run the test suite to validate:

python test/simple_test.py

Debug Commands

# Check if container is running
docker ps --filter ancestor=ntp-mcp-server

# View container logs
docker logs <container-id>

# Test container responsiveness with new format
python test/test_direct_docker.py

# Run comprehensive test suite
python test/run_all_tests.py

# Check NTP connectivity
docker run --rm ntp-mcp-server python -c "import ntplib; print(ntplib.NTPClient().request('pool.ntp.org'))"

# Validate time format directly
python -c "import app, asyncio; result = asyncio.run(app.handle_call_tool('get_current_time', {})); print('Format:', repr(result[0].text))"

🤝 Contributing

1. Fork the repository

2. Create a feature branch: git checkout -b feature-name

3. Make your changes

4. Add tests for new functionality

5. Ensure all tests pass: python test/run_all_tests.py

6. Validate time format: python test/simple_test.py

7. Commit your changes: git commit -m "Add feature"

8. Push to the branch: git push origin feature-name

9. Submit a pull request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🔗 Related Links

• Model Context Protocol

• Claude Desktop

• NTP Protocol (RFC 5905)

• Docker Documentation

• Python pytz Documentation

📞 Support

If you encounter issues:

1. Check the Troubleshooting section

2. Run the test suite to verify functionality: python test/run_all_tests.py

3. Validate time format: python test/simple_test.py

4. Check that your MCP client configuration is correct

5. Ensure Docker is running (for Docker deployment)

🏷️ Version History

• v2.1.0 - DOCKER OPTIMIZATION

  • 🐳 Switched to Alpine Linux base image (python:3.11-alpine)

  • 📦 Significantly reduced image size from ~151MB to ~50MB (67% reduction)

  • ⚡ Improved container startup time and resource efficiency

  • 🔒 Enhanced security with minimal attack surface

  • 🏗️ Better for CI/CD pipelines due to faster pull times

• v2.0.0 - NEW STRUCTURED TIME FORMAT

  • ✨ New structured output format: Date:YYYY-MM-DD\nTime:HH:mm:ss\nTimezone:timezone

  • 🧪 Enhanced test suite with comprehensive format validation

  • 🔧 Improved Windows compatibility with dedicated test scripts

  • 📊 Better error handling and fallback behavior

  • 🐳 Updated Docker tests with full MCP protocol validation

• v1.0.0 - Initial release with NTP support and Docker containerization

  • Full timezone support with pytz

  • Comprehensive test suite

  • Docker and Python deployment options

  • MCP protocol compliance

Made with ❤️ for the MCP community