VTEX Checkout MCP Server for Mastra AI 6 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect VTEX Checkout through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
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-checkout": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "VTEX Checkout Agent",
instructions:
"You help users interact with VTEX Checkout " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with VTEX Checkout?"
);
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 Checkout MCP Server
Connect your VTEX e-commerce checkout API to any AI agent and streamline your store's pre-purchase operations through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and VTEX Checkout tool infrastructure. Connect 6 tools through 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
- Cart Simulation — Run complete order simulations with items, quantities, and sellers to instantly preview totals, discounts, and available shipping options for any postal code.
- Shopping Cart Management — Retrieve the full state of any active shopping cart (orderform), including items, client profile, payment conditions, and logistics.
- Coupon Management — Apply discount coupons to active carts and immediately see the impact on totals.
- Client Profiles — Look up registered client profiles by user ID — retrieve name, CPF/CNPJ, email, and contact details.
- Address Management — Register new shipping addresses for clients, streamlining the checkout flow.
- Payment Simulation — Validate payment tokens and simulate payment conditions before placing an order.
The VTEX Checkout MCP Server exposes 6 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 Checkout to Mastra AI via MCP
Follow these steps to integrate the VTEX Checkout 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 6 tools from VTEX Checkout via MCP
Why Use Mastra AI with the VTEX Checkout MCP Server
Mastra AI provides unique advantages when paired with VTEX Checkout through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add VTEX Checkout 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 Checkout 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 Checkout + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the VTEX Checkout MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query VTEX Checkout, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed VTEX Checkout 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 Checkout on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using VTEX Checkout tools alongside other MCP servers
VTEX Checkout MCP Tools for Mastra AI (6)
These 6 tools become available when you connect VTEX Checkout to Mastra AI via MCP:
add_coupon
Apply a coupon to a shopping cart
create_address
Add a new address to a client profile
get_client_profile
Get client profile details
get_orderform
Get details of a specific shopping cart
simulate_order
Simulate a cart and shipping costs
simulate_payment
Simulate a payment validation
Example Prompts for VTEX Checkout in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with VTEX Checkout immediately.
"Simulate a cart with 2 units of product ID 1234 and shipping to ZIP 01310-100"
"Apply coupon code SUMMER20 to orderform abc123"
"Look up the client profile for user ID 98765"
Troubleshooting VTEX Checkout MCP Server with Mastra AI
Common issues when connecting VTEX Checkout to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpVTEX Checkout + Mastra AI FAQ
Common questions about integrating VTEX Checkout 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 Checkout 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.
AI-first code editor with integrated LLM-powered coding assistance.
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 Checkout to Mastra AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.