How to Use the DHL MCP in Mastra AI

Q: How do I verify addresses using DHL and Mastra AI?

Include validateaddress as a mandatory step in your Mastra AI agent's intake workflow. It flags bad addresses before you attempt to book a shipment.

Q: Does Mastra AI support DHL tool approval?

Yes. Set requireToolApproval for createshipment so you can manually sign off on large invoices before the agent finishes the task.

Build automated logistics workflows in Mastra AI. Handle shipping failures and label creation with custom logic.

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Connect DHL MCP to Mastra AI

Create your Vinkius account to connect DHL 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 DHL with Mastra AI

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Automated shipment workflows in Mastra AI

Use `create_shipment` inside your Mastra AI workflow to generate labels automatically. If a shipment fails, you can trigger a retry block immediately. It removes the need for manual data entry. Your agent handles the entire lifecycle from booking to label retrieval.

Custom logic for Mastra AI shipping rates

Chain `get_rates` with your own business rules to pick the best service level. You can set conditional branches to choose the cheapest or fastest DHL option. This gives you full control over your shipping budget. The agent calculates the best path and executes the booking without human help.

Proforma invoice management for Mastra AI

Generate customs docs using `get_proforma_invoice` as part of your international shipping sequence. Your agent ensures the paperwork is ready before the label is finalized. This prevents customs delays for your cross-border orders. It's a clean way to keep your international logistics moving.

Setup guide

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

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

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

Yes. You can define a workflow in Mastra AI that catches errors from `create_shipment` and attempts a retry with updated parameters.

Include `validate_address` as a mandatory step in your Mastra AI agent's intake workflow. It flags bad addresses before you attempt to book a shipment.

Yes. Set `requireToolApproval` for `create_shipment` so you can manually sign off on large invoices before the agent finishes the task.

It handles recipient names, physical addresses, and package dimensions. This data is strictly used to fulfill your logistics requests.

It isolates your credentials within the server instance. No sensitive shipping data is cached or stored by the agent framework.

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