How to Use the Easyship MCP in Mastra AI

Q: Does Easyship require human approval in Mastra AI?

You can set requireToolApproval for sensitive actions. This ensures that a human confirms any shipping rate or update before the agent finalizes the process.

Q: How do I audit Easyship usage in Mastra AI?

Call quickshippingvolumeaudit at the end of your workflow. It provides a summary of all processed shipments so you can keep track of your performance metrics.

Build resilient logistics workflows in Mastra AI using the Easyship MCP Server.

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Connect Easyship MCP to Mastra AI

Create your Vinkius account to connect Easyship 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 Easyship with Mastra AI

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Automated shipment monitoring with Mastra AI

Chain `list_in_transit_shipments` with your custom business logic to trigger alerts when a package is delayed. Mastra AI handles the retries if the network blips during the check. If a package fails to move, use `list_failed_deliveries` to flag it for human review. Your agent creates a workflow that keeps your shipping operations running without manual oversight.

Mastra AI shipment lookup

Find specific packages using `search_shipments_by_reference` as a step in your agent process. This is useful when you need to pull details before executing a secondary action like a return or refund. Once the agent identifies the shipment, it passes the data to `get_shipment_details` for a full status breakdown. This flow ensures your agents always have the latest info before they make a decision.

Manage account limits

Use `get_easyship_account_metadata` to check your current usage boundaries before starting a high-volume process. You can build a branch that pauses operations if you are near your limit. This keeps your Mastra AI agents from hitting API rate limits during peak shipping times. It is a simple check that prevents workflow crashes.

Setup guide

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

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

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

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Common questions about Easyship MCP in Mastra AI

Register the server in your Mastra config and spread the tools into your agent definition. You can then call them as steps in any workflow you create.

Yes, configure your workflow to catch tool errors. Use the retry logic in your agent to attempt the `get_shipping_rates` call again if the first attempt fails due to a timeout.

You can set `requireToolApproval` for sensitive actions. This ensures that a human confirms any shipping rate or update before the agent finalizes the process.

Your shipment records are processed in an ephemeral sandbox. Vinkius does not store your logistics data, and the connection is strictly point-to-point.

Call `quick_shipping_volume_audit` at the end of your workflow. It provides a summary of all processed shipments so you can keep track of your performance metrics.

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