How to Use the Medusa (Headless E-commerce Engine) MCP in Mastra AI

Q: Can Mastra AI manage customer profiles inside Medusa (Headless E-commerce Engine)?

Yes, the agent uses getcustomer and listcustomers to audit and query buyer records. You can build automated workflows that flag inactive accounts or trigger re-engagement steps.

Q: Can I require human approval before capturing a payment?

Yes, Mastra supports a requireToolApproval setting on specific tools. You can force the agent to pause and ask a human manager before invoking capturepayment via the MCP connection.

Build resilient, multi-step commerce workflows using Mastra AI and the Medusa (Headless E-commerce Engine) MCP Server.

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Connect Medusa (Headless E-commerce Engine) MCP to Mastra AI

Create your Vinkius account to connect Medusa (Headless E-commerce Engine) 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 Medusa (Headless E-commerce Engine) with Mastra AI

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Automate transaction recovery with Mastra AI

`capture_payment` executes within Mastra's workflow engine to handle transaction attempts with built-in retry logic. When a payment fails, your agent checks the status using `get_order` and triggers alternative paths. You define conditional branches to handle card declines or regional discrepancies. The workflow automatically backs off exponentially before trying again, preventing API rate limits from locking up your store.

Manage customer segments using this MCP Server

`list_customers` fetches your entire CRM directory to identify high-value shoppers. The agent uses `get_customer` to inspect specific profiles and match them with targeted catalog offers. Mastra workflows schedule these checks during low-traffic periods. This prevents resource starvation on your production database while keeping customer data synchronized.

Keep multi-region catalogs in sync

`list_regions` identifies active tax jurisdictions and currencies across your global stores. The workflow calls `get_store_config` alongside `list_products` to verify that regional pricing matches localized catalog rules. If a discrepancy is found, Mastra alerts your team or updates the regional product settings. You don't have to manually audit thousands of product variants across different zones.

Setup guide

Set up Medusa (Headless E-commerce Engine) 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 Medusa (Headless E-commerce Engine) 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: "medusa-headless-e-commerce-engine-mcp-client",
  servers: {
    "medusa-headless-e-commerce-engine-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Medusa (Headless E-commerce Engine) transactions"
);
console.log(result.text);

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Common questions about Medusa (Headless E-commerce Engine) MCP in Mastra AI

You configure Mastra's native workflow engine to catch errors from the `capture_payment` tool. If a call fails, the workflow automatically retries the operation using exponential backoff. This ensures transient network blips don't ruin customer checkouts.

Yes, the agent uses `get_customer` and `list_customers` to audit and query buyer records. You can build automated workflows that flag inactive accounts or trigger re-engagement steps.

You register the server URL in your Mastra client initialization block. The framework automatically discovers tools like `list_products` and `get_order`. You can then spread these tools directly into your agent's capability array.

Yes, Mastra supports a `requireToolApproval` setting on specific tools. You can force the agent to pause and ask a human manager before invoking `capture_payment` via the MCP connection.

Vinkius executes all tool calls inside isolated, single-use V8 sandboxes. Your store credentials and customer profiles retrieved via `get_store_config` are never cached or logged. All communication between Mastra and the database uses TLS-encrypted tunnels.

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