How to Use the VTEX Orders MCP in Mastra AI

Q: If I need to check the status of VTEX Orders using Mastra AI?

You simply configure the agent workflow to call updateorderstatus or getorder. The system guarantees that even if one tool fails, the entire process doesn't stop.

Complex Workflow Automation for Mastra AI Agents

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Connect VTEX Orders MCP to Mastra AI

Create your Vinkius account to connect VTEX Orders 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 VTEX Orders with Mastra AI

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Perplexity

Conditional VTEX Orders Processing

Mastra AI excels at multi-step logic. You can build a workflow that checks the order status via `get_order`. If it's 'payment failed,' the flow branches and triggers a retry notification. This agent framework handles conditional branching, making sure your VTEX Orders process correctly even when things go wrong.

Automated Order Management with Mastra AI

Need to track an order? Set up a workflow using `get_tracking_info`. If the tracking number is missing, the agent automatically retries the lookup or notifies an admin. The built-in failure handling and exponential backoff mean your complex processes don't just crash; they recover.

VTEX Orders Invoicing Workflows

Handling invoicing is a multi-step job. A Mastra workflow first needs the order details from `get_order`, then calls `register_invoice` with tax and tracking numbers. The framework ensures that if one step fails—say, the invoice number format is bad—it logs the failure and waits for human review.

Setup guide

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

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

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

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Common questions about VTEX Orders MCP in Mastra AI

You define a workflow that chains tools together. For example, you might chain `search_orders` into `get_order` to build a complete profile for an order ID.

Yes, that's one of its core strengths. If the API call to update an order fails temporarily, the agent automatically retries with increasing delays until successful.

The server handles specific Order IDs and associated status codes. Workflows often rely on passing these discrete identifiers between steps to ensure continuity.

You can write a loop within your workflow that iterates over a list of order IDs and calls `cancel_order` for each one, handling success or failure individually.

You simply configure the agent workflow to call `update_order_status` or `get_order`. The system guarantees that even if one tool fails, the entire process doesn't stop.

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