How to Use the ShipStation MCP in Mastra AI

Q: How do I manage different fulfillment sites with ShipStation and Mastra AI?

You list all your available locations using listwarehouses. The workflow can then automatically assign the correct 'Ship From Location' to every label creation, ensuring it ships from the right place.

Build complex fulfillment workflows with Mastra AI using the ShipStation MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect ShipStation MCP to Mastra AI

Create your Vinkius account to connect ShipStation to Mastra AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup ShipStation with Mastra AI

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Automated Shipping Decisions for Mastra AI

The `get_rates` tool is the starting point for any shipping decision. Feed it package dimensions and destination to compare carrier costs against delivery speed requirements. Mastra AI uses this data in its workflow engine. It can automatically select the best rate—say, UPS Ground when cost matters, or FedEx Priority when time does—and move straight to label creation.

Multi-Step Order Processing with MCP Server

You'll build workflows that start by calling `list_orders`. The agent then loops through the results, calling `get_rates` for every single order found. This sequential process ensures no shipment falls through the cracks. After rates are confirmed and an optimal carrier is chosen, the next step is a direct call to `create_label_for_order`, completing the cycle in one transaction.

Handling ShipStation Account Maintenance

Mastra AI handles account setup gracefully. If funds are low, the agent can execute `get_carrier` and then immediately call `add_funds`. This prevents shipment failures due to insufficient balances. It also manages tags; if an order needs special handling, you use `add_tag_to_order` before initiating the primary shipping workflow.

Setup guide

Set up ShipStation MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All ShipStation tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "shipstation-mcp-client",
  servers: {
    "shipstation-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "ShipStation Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to ShipStation tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent ShipStation transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ShipStation. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about ShipStation MCP in Mastra AI

Mastra AI can chain these actions together. First, it calls `get_rates` to determine the optimal cost/speed balance. Then, using that confirmation, it executes `create_label_for_order` in a single reliable step.

Absolutely. The agent framework supports looping through results from `list_orders`. It can apply the entire rate-check, label-creation cycle to hundreds of orders automatically.

Yes. If an attempt fails (e.g., poor dimensions), you can build a retry step into the workflow. The agent can pause, check `get_carrier` for current status, and try again later.

You list all your available locations using `list_warehouses`. The workflow can then automatically assign the correct 'Ship From Location' to every label creation, ensuring it ships from the right place.

The server manages both customer details and order information. Specifically, it handles billing addresses, which you can read via `get_customer` to verify shipment accuracy.

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