How to Use the Shipmondo MCP in Mastra AI

Q: Can mastra-ai handle multi-stage shipping quote fetching?

Absolutely. Your workflow can first call listcarriers to get options, then loop through those carriers calling getshippingquote for each one until it finds the best rate.

Q: If I use Shipmondo with mastra-ai, what happens if a carrier API fails?

The agent detects the failure in the listcarriers or getshippingquote call. Instead of crashing, it automatically waits and retries the operation, following your predefined recovery logic.

Q: Can I use Shipmondo with mastra-ai to list multiple orders?

Yes, you can run a job that calls listorders for every client in a batch. The workflow processes them sequentially and reports success or failure for each single order.

Build complex cross-border shipping workflows with the mastra-ai framework.

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Create your Vinkius account to connect Shipmondo to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Shipmondo with Mastra AI

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Automated Shipment Creation for mastra-ai

Need to create a shipment? Use `create_shipment`. Your workflow can now handle multi-step logic: check the customer's account balance first using `get_account_balance`, then attempt creation, and only proceed if funds are available. The framework manages these conditional steps. If the initial API call fails (say, due to a bad address), the mastra-ai agent can automatically retry with different data or flag the failure for human review.

Managing Warehouse Inventory via MCP Server

The system lets you list all configured warehouses using `list_warehouses`. You can build a workflow that first checks if an order exists (`get_order`) and then verifies the inventory location against available warehouses. The entire process runs as one reliable, complex step. This eliminates the need for manual cross-checking between different internal systems.

Processing Returns with mastra-ai

Running a return workflow is complicated; you'll have to check if the item is listed (`list_returns`) and then get specific details. The framework handles this complex logic: If the returns list is empty, it notifies an admin. Otherwise, it proceeds to fetch individual shipment data. The agent keeps retrying until the return status is confirmed or a hard failure is hit.

Setup guide

Set up Shipmondo 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 Shipmondo 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: "shipmondo-mcp-client",
  servers: {
    "shipmondo-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Shipmondo 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 Shipmondo. 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 Shipmondo MCP in Mastra AI

You set up an automated workflow that processes multiple orders. The agent handles the queue, ensuring if one shipment fails (maybe a specific carrier is down), it automatically retries with another method.

Absolutely. Your workflow can first call `list_carriers` to get options, then loop through those carriers calling `get_shipping_quote` for each one until it finds the best rate.

This MCP Server handles operational details like sales order details and shipment records. The system processes identifiers related to specific orders and shipments.

The agent detects the failure in the `list_carriers` or `get_shipping_quote` call. Instead of crashing, it automatically waits and retries the operation, following your predefined recovery logic.

Yes, you can run a job that calls `list_orders` for every client in a batch. The workflow processes them sequentially and reports success or failure for each single order.

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