How to Use the VTEX Catalog MCP in Mastra AI

Q: How does Mastra AI handle searches against VTEX Catalog?

You initiate a search using searchproducts and pass the text, brand ID, or category ID. The workflow engine processes this request reliably, and you get the results to continue your subsequent steps.

Q: Can I use Mastra AI to update inventory in the VTEX Catalog?

Yes. Calling managestock updates SKUs. Because the platform supports automatic retries, it increases confidence that critical stock changes get through successfully.

Q: Does Mastra AI support retrieving product details from VTEX Catalog?

It does. You can call getproduct to pull all necessary data for a specific item. This is great for building complex review or reporting workflows that rely on full product records.

Q: What tools are available via Mastra AI when accessing VTEX Catalog?

The server provides seven tools: getbrand, getcategory, getproduct, getsku, managestock, saveproduct, and searchproducts. Your agent can use them in sequence.

Build complex e-commerce workflows using VTEX Catalog with Mastra AI's robust engine.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect VTEX Catalog MCP to Mastra AI

Create your Vinkius account to connect VTEX Catalog 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.

GDPR Free for Subscribers

Setup VTEX Catalog with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automating Product Creation and Updates

Building a product? You use `save_product` to create new items or modify existing ones. The workflow handles the required data fields automatically, so you don't have to worry about missing parameters. If a price changes or a description needs tweaking, calling `get_product` first lets your agent retrieve the current data, which it then feeds into an updated `save_product` call.

Controlled Inventory Adjustments

Need to adjust stock? Use `manage_stock`. The Mastra AI framework makes this reliable by supporting automatic retries with exponential backoff. If the first connection fails, it tries again later. This ensures that critical inventory changes are processed even if there's a temporary network blip or rate limit hit.

Multi-step Catalog Research

Your agent can execute multi-step research. First, it calls `search_products` to get a list of potential items. Then, using the result's ID, it hits `get_sku` for granular detail. This conditional branching is key: if the initial search fails, your workflow engine automatically triggers an admin notification instead of just stopping.

Setup guide

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

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

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by VTEX. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect VTEX Catalog now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about VTEX Catalog MCP in Mastra AI

You initiate a search using `search_products` and pass the text, brand ID, or category ID. The workflow engine processes this request reliably, and you get the results to continue your subsequent steps.

Yes. Calling `manage_stock` updates SKUs. Because the platform supports automatic retries, it increases confidence that critical stock changes get through successfully.

It does. You can call `get_product` to pull all necessary data for a specific item. This is great for building complex review or reporting workflows that rely on full product records.

The server provides seven tools: `get_brand`, `get_category`, `get_product`, `get_sku`, `manage_stock`, `save_product`, and `search_products`. Your agent can use them in sequence.

The server touches product identification data: names, IDs (brand/category), and stock counts. The built-in workflow engine ensures the connection is handled with defined retry logic.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript