How to Use the DCL Logistics MCP in Mastra AI

Q: How do I pass DCL Logistics tools to Mastra AI?

Install @mastra/mcp and instantiate a new MCPClient with your Vinkius URL. Call mcpClient.listTools() and spread the result directly into your Agent's tool array.

Q: Can Mastra AI automatically retry failed DCL Logistics tracking calls?

Yes. When getshipmentdetails hits a rate limit, Mastra uses built-in exponential backoff. It waits, retries the carrier status update, and moves on once successful.

Q: Does Mastra AI support human-in-the-loop for DCL Logistics returns?

You control execution using requireToolApproval. If the agent wants to process a high-value RMA, Mastra pauses the workflow until a human clicks approve.

Deploy Mastra AI workflows that automatically track shipments, monitor low stock, and handle DCL Logistics fulfillment errors.

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Connect DCL Logistics MCP to Mastra AI

Create your Vinkius account to connect DCL Logistics 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 DCL Logistics with Mastra AI

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Build Mastra AI reorder pipelines

`list_low_stock_items` identifies SKUs sitting below your defined unit threshold. Your MCP Server triggers a daily cron job, grabs the list, and evaluates the available quantity against your reorder rules. If the stock drops too low, the workflow branches. It checks `get_sku_inventory_status` for pending stock movements before alerting the purchasing team. You get exponential backoff out of the box if the API drops the connection.

Automate fulfillment tracking

`list_fulfillment_orders` pulls system IDs, fulfillment status, and customer identifiers into your Mastra agent memory. You build a loop that checks for stalled orders every hour. When an order stalls, `get_order_details` grabs the complete audit trail of processing events. The workflow engine evaluates the failure reason, attempts a retry, or escalates to a human operator using `requireToolApproval`.

Sync returns across systems

`list_customer_returns` extracts return reasons and credit info for all RMAs. Mastra takes this payload and routes it to your accounting software or customer service desk. Getting company metadata via `get_account_details` ensures your workflow routes the return to the correct active warehouse assignment. You deploy this entire pipeline to your cloud provider with a single command.

Setup guide

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

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

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

Install `@mastra/mcp` and instantiate a new `MCPClient` with your Vinkius URL. Call `mcpClient.listTools()` and spread the result directly into your Agent's tool array.

Yes. When `get_shipment_details` hits a rate limit, Mastra uses built-in exponential backoff. It waits, retries the carrier status update, and moves on once successful.

You control execution using `requireToolApproval`. If the agent wants to process a high-value RMA, Mastra pauses the workflow until a human clicks approve.

Mastra auto-detects the correct protocol. Vinkius provides Streamable HTTP or SSE endpoints, and the framework figures out the handshake automatically.

Ephemeral containers guarantee zero persistent storage. When your agent queries customer identifiers, shipping addresses, or RMA reasons, the Vinkius sandbox processes the request in memory and instantly wipes the environment clean.

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