TrackMage MCP Server

The TrackMage MCP server transforms the raw capabilities of the TrackMage logistics platform into a first‑class, AI‑ready service. By exposing shipment tracking, order management, and carrier discovery through the Model Context Protocol, it lets conversational agents such as Claude or ChatGPT answer real‑time logistics questions without custom code. Developers can therefore build end‑to‑end customer support bots, automated shipment status dashboards, or integration layers that keep business workflows in sync with carrier data—all while keeping the logic inside a single, well‑documented MCP endpoint.

At its core, the server provides a rich set of resources—workspaces, shipments, orders, carriers, and tracking statuses—that mirror the domain objects in TrackMage. These resources can be queried or iterated by an AI client, enabling natural language commands like “list all shipments for workspace X” to be translated into precise API calls. The tools complement this by offering actions that modify state: creating or updating shipments and orders, retrieving checkpoints for a specific package, and bulk retracking of multiple packages. Each tool is intentionally simple: it accepts only the fields that a user would normally provide in an interactive chat, and returns the full object or list so the assistant can continue reasoning about it.

The server’s OAuth‑based authentication (client credentials flow) keeps secrets out of the conversational model while still allowing secure, scoped access to a particular workspace. This means that an assistant can operate on behalf of a single business unit or customer without exposing sensitive API keys. The integration is plug‑and‑play for any MCP‑compatible client: specify the server in a configuration file, and the assistant automatically discovers available resources and tools.

Real‑world use cases abound. A customer support chatbot can instantly pull a shipment’s latest checkpoint and explain delays, while an internal operations tool can auto‑create orders from e‑commerce data feeds. Bulk retracking scripts can keep a warehouse’s inventory system up to date, and analytics agents can surface carrier performance metrics across the 1,600+ carriers TrackMage supports. Because the server communicates over HTTP and follows MCP conventions, it fits naturally into existing AI workflows that rely on transport‑agnostic server discovery.

What sets this MCP apart is its carrier breadth and the tight coupling between shipment data and order management. Most logistics APIs expose only a handful of carriers; TrackMage’s extensive list guarantees that even niche or regional couriers are reachable. Coupled with the ability to detect carriers automatically, developers can build assistants that ask a customer for a tracking number and instantly determine which carrier to query. This level of automation reduces friction in both customer interactions and backend processes, making the TrackMage MCP server a powerful bridge between conversational AI and global logistics operations.