Maersk Vessel Deadlines MCP Server

This project is a Model Context Protocol (MCP) server that provides programmatic access to Maersk vessel information, including vessel schedules and shipment deadlines. It exposes tools that can be used by MCP-compatible clients (like Claude Desktop, GPTs, or other AI assistants) to retrieve up-to-date shipping data from Maersk's public APIs.

About Model Context Protocol (MCP)

The Model Context Protocol is an open standard that enables AI assistants to connect to external data sources and tools. MCP servers provide a standardized way for AI models to access real-time information and perform actions through a secure, structured interface.

Related MCP server: Maritime Vessel Data MCP Server

Features & Available Tools

The MCP server exposes the following tools:

1. get_vessel_imo

• Description: Retrieve the IMO (International Maritime Organization) number for a vessel by its name.

• Input: Vessel name (string)

• Output: IMO number (string)

2. get_vessel_schedule

• Description: Retrieve the schedule and shipment deadlines for a vessel, given its IMO number, voyage number, port of loading, and ISO country code.

• Inputs:

  • vessel_imo: IMO number of the vessel (string)

  • voyage_number: Voyage number (string)

  • port_of_loading: Port of loading (string)

  • iso_country_code: ISO country code of the port (string)

• Output: Human-readable summary of the vessel's schedule and deadlines

3. get_port_calls

• Description: Retrieve the vessels calling on a specific port, given its Country and Port of Loading city for the next one week.

• Inputs:

  • country_code: ISO Country Code

  • city_name: POL City name

• Output: Human-readable summary of vessels calling upon the port in the next 1 week.

These tools are defined in main.py and are accessible via the MCP protocol for integration with AI assistants and other MCP clients.

Requirements

• Python 3.11+

• Maersk API Consumer Key (set as CONSUMER_KEY in your environment)

Installation & Usage

Using Docker (Recommended)

A prebuilt Docker image is available at dipankan001/maersk-mcp:v1:

docker pull dipankan001/maersk-mcp:v1
docker run -e CONSUMER_KEY=INSERT_API_KEY_HERE dipankan001/maersk-mcp:v1

Connecting to MCP Clients

Claude Desktop

Add this to your Claude Desktop configuration:

{
  "mcpServers": {
    "maersk-mcp-server": {
      "command": "docker",
      "args": ["run", "--rm", "-i", "-e", "CONSUMER_KEY=<INSERT_API_KEY_HERE>", "dipankan001/maersk-mcp:v1"]
    }
  }
}

Other MCP Clients

For other MCP-compatible clients, configure the server using the appropriate connection method (HTTP, stdio, etc.) as specified in the MCP specification.

Endpoints

The app exposes MCP tools for:

• Getting vessel IMO numbers

• Fetching vessel schedules and shipment deadlines

• Fetching active port call vessels

See main.py for details on available tools and their parameters.

Resources

• Model Context Protocol Documentation

• MCP Specification

• MCP GitHub Repository