How to Use the DPD MCP in Mastra AI

Q: What is the best way to list DPD products in Mastra AI?

Call listproducts within your agent initialization. This ensures the agent knows which shipping options are available before it builds a shipment.

Build resilient logistics workflows in Mastra AI that automate DPD shipments, retries, and parcel status tracking.

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Connect DPD MCP to Mastra AI

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Setup DPD with Mastra AI

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Automated workflow branching

Use `create_shipment` as a node in your Mastra AI workflow. If the carrier returns an error, your agent can trigger a retry or flag an admin for review. This logic keeps your warehouse operations moving. You define the rules, and the agent executes them consistently.

Parcel shop discovery logic

Call `find_parcelshop` to locate the nearest drop-off points based on a customer's address. The agent handles the lookup and suggests the best option automatically. This reduces manual research for your support staff. It turns a multi-step search into a single agent action.

Shipment status monitoring

Set up recurring tasks using `get_shipment_status` to track packages across your fleet. Your Mastra AI agents monitor the progress and notify you of delays. You gain visibility into every package. If a shipment stalls, the agent identifies the bottleneck immediately.

Setup guide

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

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

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

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Common questions about DPD MCP in Mastra AI

You can configure automated retries with exponential backoff. If `create_shipment` fails, the agent attempts the request again based on your settings.

Yes. The tools are designed to chain together, allowing you to create shipments, generate manifests, and track status within one agent flow.

The server processes only the minimum shipment data required. Your sensitive transit information stays ephemeral and is never logged by the MCP server.

You can toggle the requireToolApproval setting. This forces a human to review the shipment data before the agent runs `create_shipment`.

Call `list_products` within your agent initialization. This ensures the agent knows which shipping options are available before it builds a shipment.

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