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A MCP Server that provides relevant details on current vessel schedules & deadlines for those operated by Maersk.
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.
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.
The MCP server exposes the following tools:
get_vessel_imoget_vessel_schedulevessel_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)get_port_callscountry_code: ISO Country Codecity_name: POL City nameThese tools are defined in main.py and are accessible via the MCP protocol for integration with AI assistants and other MCP clients.
CONSUMER_KEY in your environment)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
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"]
}
}
}
For other MCP-compatible clients, configure the server using the appropriate connection method (HTTP, stdio, etc.) as specified in the MCP specification.
The app exposes MCP tools for:
See main.py for details on available tools and their parameters.
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