How to Use the PrestaShop MCP in Mastra AI

Q: How do I initialize the PrestaShop MCP Server in Mastra AI?

Install @mastra/mcp@latest. Instantiate it using new MCPClient() with your Vinkius server URL. Call mcpClient.listTools() and spread the results directly into your Agent's tool array.

Q: Can Mastra AI retry failed PrestaShop API calls?

That is exactly what it does. If a call to getorder fails due to rate limits, the framework applies exponential backoff. Your workflow engine handles the failure gracefully instead of crashing.

Q: How do I manage PrestaShop inventory checks with Mastra AI?

Build a workflow that triggers liststock on a schedule. You can set conditional branches to alert your team if specific item quantities drop below a set threshold.

Q: Does this setup support human-in-the-loop for refunds?

Yes. You can use Mastra's requireToolApproval setting. If the agent needs to verify a complex order via getorder, it pauses the workflow until a manager approves the data extraction.

Build resilient PrestaShop fulfillment workflows with Mastra AI and handle API failures automatically.

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Connect PrestaShop MCP to Mastra AI

Create your Vinkius account to connect PrestaShop to Mastra AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup PrestaShop with Mastra AI

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Manage PrestaShop MCP Server Workflows

`list_orders` scans recent sales history to kick off your automated fulfillment pipeline. Mastra AI takes these order references and feeds them into conditional branches. If an order looks stuck, `get_order` extracts the nested line items and payment paths to diagnose the issue. Logistics depend on accurate routing. Your agent calls `list_addresses` to pull physical delivery mapping lines. If the store API throws a timeout, Mastra's built-in exponential backoff retries the fetch automatically. The workflow keeps running despite network hiccups.

Automate Stock Level Verification

`list_stock` dictates the physical inventory logic overriding standard product rules. You build a Mastra workflow that checks this endpoint before approving high-value purchases. For precise checks, `get_stock` targets the specific resource ID. Catalog data provides the context. `list_products` bounds XML-parsed arrays to match items to their inventory counts. If stock runs low, your agent can trigger an alert branch. It never drops the task mid-execution.

Map CRM Points to Sales

`list_customers` limits response arrays to grab emails, names, and account creation dates. Your workflow engine correlates these basic CRM points against specific order IDs. You get a clear picture of who is buying what without writing custom join logic. Store configurations dictate how these customers pay. `list_currencies` pulls the active accepted currencies, while `list_categories` maps store navigation geometry. Your AI client uses this metadata to format regional reporting accurately.

Setup guide

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

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

const result = await agent.generate(
  "List recent PrestaShop 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 PrestaShop. 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.

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Common questions about PrestaShop MCP in Mastra AI

Install `@mastra/mcp@latest`. Instantiate it using `new MCPClient()` with your Vinkius server URL. Call `mcpClient.listTools()` and spread the results directly into your Agent's tool array.

That is exactly what it does. If a call to `get_order` fails due to rate limits, the framework applies exponential backoff. Your workflow engine handles the failure gracefully instead of crashing.

Build a workflow that triggers `list_stock` on a schedule. You can set conditional branches to alert your team if specific item quantities drop below a set threshold.

Yes. You can use Mastra's `requireToolApproval` setting. If the agent needs to verify a complex order via `get_order`, it pauses the workflow until a manager approves the data extraction.

The execution environment is ephemeral. When your workflow reads order totals and billing boundaries via `get_order`, the data lives only as long as the run. The MCP connection uses a zero-trust architecture to prevent data leakage.

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