How to Use the Track-POD MCP in Mastra AI

Q: How do I check connectivity using Mastra AI and Track-POD?

Use the testapiconnection tool at the start of your workflow. It confirms that all necessary endpoints are reachable before running any actual delivery logic.

Q: Can Mastra AI handle creating new orders for Track-POD?

Yep. The createorder function lets you automate generating a new order using the required number and client name, perfect for automated intake processes.

Q: What if I need to list all routes with Mastra AI and Track-POD?

You call listroutes. The workflow engine then takes that comprehensive list and can process it step-by-step, flagging any potential bottlenecks or conflicts.

Q: Can the MCP Server handle tracking multiple orders with Mastra AI?

Sure thing. You can loop through results from listorders and use getorderbynumber on each one, building a complete audit trail within your workflow.

Automate complex logistics workflows with Mastra AI and Track-POD.

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Mastra AI: Reliable Order Creation

The `create_order` tool handles building a new delivery order, requiring only an order number and client name. If the initial API call fails, your workflow engine automatically retries with different credentials. It’s ideal for complex logistics because if one step drops—say, listing drivers—the system doesn't crash; it just waits or tries another method.

Track-POD MCP Server: Managing Deliveries

Mastra AI uses `get_order_by_number` to pull specific order details. This allows you to build a conditional step: if the status is 'failed,' notify an admin; otherwise, proceed with route planning. It automatically handles listing all Track-POD orders via `list_orders`, ensuring every single record gets processed through your multi-step workflow.

Complex Workflow for Fleet Management

You can build a full fleet check. First, call `list_vehicles` to get all assets. Then, use that list to feed into checking available routes via `list_routes`. This entire sequence runs reliably in one workflow. Similarly, the `list_drivers` tool provides a repeatable source of truth for your driver roster, which is critical for any complex operational plan.

Setup guide

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

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

const result = await agent.generate(
  "List recent Track-POD 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 Track-POD. 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 Track-POD MCP in Mastra AI

The server deals with all core delivery records: orders, routes, drivers, and vehicles. You're dealing with physical logistics movements.

Use the `test_api_connection` tool at the start of your workflow. It confirms that all necessary endpoints are reachable before running any actual delivery logic.

Yep. The `create_order` function lets you automate generating a new order using the required number and client name, perfect for automated intake processes.

You call `list_routes`. The workflow engine then takes that comprehensive list and can process it step-by-step, flagging any potential bottlenecks or conflicts.

Sure thing. You can loop through results from `list_orders` and use `get_order_by_number` on each one, building a complete audit trail within your workflow.

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