VTEX Catalog MCP Server for Mastra AI 7 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect VTEX Catalog through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"vtex-catalog": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "VTEX Catalog Agent",
instructions:
"You help users interact with VTEX Catalog " +
"using 7 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with VTEX Catalog?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About VTEX Catalog MCP Server
Connect your VTEX Catalog API to any AI agent and manage your entire product catalog through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and VTEX Catalog tool infrastructure. Connect 7 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
What you can do
- Product Search — Run full-text searches across your product catalog by name, brand ID, or category ID. Returns complete product listings with pricing, availability, and images.
- Product Details — Retrieve the full specification sheet of any product by ID, including all associated SKUs, categories, dimensions, and metadata.
- Product Management — Create or update products directly from your agent. Send structured product data and have it reflected in your VTEX catalog immediately.
- SKU Inspection — Look up specific SKUs with detailed attributes like price, weight, dimensions, EAN, and stock status.
- Stock Management — Update the available quantity of any SKU across your logistics warehouses. Adjust inventory in real-time without opening the VTEX Admin.
- Category & Brand Lookup — Explore your category tree and brand directory to understand how your catalog is organized and ensure correct product classification.
The VTEX Catalog MCP Server exposes 7 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect VTEX Catalog to Mastra AI via MCP
Follow these steps to integrate the VTEX Catalog MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 7 tools from VTEX Catalog via MCP
Why Use Mastra AI with the VTEX Catalog MCP Server
Mastra AI provides unique advantages when paired with VTEX Catalog through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add VTEX Catalog without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every VTEX Catalog tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
VTEX Catalog + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the VTEX Catalog MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query VTEX Catalog, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed VTEX Catalog as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query VTEX Catalog on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using VTEX Catalog tools alongside other MCP servers
VTEX Catalog MCP Tools for Mastra AI (7)
These 7 tools become available when you connect VTEX Catalog to Mastra AI via MCP:
get_brand
Get details of a brand
get_category
Get details of a category
get_product
Get full details of a specific product
get_sku
Get details of a specific SKU
manage_stock
Update the available quantity of a SKU
save_product
Create or update a product
search_products
Examples: "Coca Cola", "b/1234" (brand ID), "c/5678" (category ID). Search for products by text, brand, or category
Example Prompts for VTEX Catalog in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with VTEX Catalog immediately.
"Search for 'Nike Air Max' in my VTEX catalog"
"Update the stock of SKU 12345 to 150 units"
"Show me the details of category 5678"
Troubleshooting VTEX Catalog MCP Server with Mastra AI
Common issues when connecting VTEX Catalog to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpVTEX Catalog + Mastra AI FAQ
Common questions about integrating VTEX Catalog MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect VTEX Catalog with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect VTEX Catalog to Mastra AI
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.