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Vinkius runs on Vercel AI SDK

How to Use the PrestaShop MCP in Vercel AI SDK

Stream live PrestaShop inventory and order data straight into your Next.js frontend using Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

PrestaShop MCP on Cursor AI Code Editor MCP Client PrestaShop MCP on Claude Desktop App MCP Integration PrestaShop MCP on OpenAI Agents SDK MCP Compatible PrestaShop MCP on Visual Studio Code MCP Extension Client PrestaShop MCP on GitHub Copilot AI Agent MCP Integration PrestaShop MCP on Google Gemini AI MCP Integration PrestaShop MCP on Lovable AI Development MCP Client PrestaShop MCP on Mistral AI Agents MCP Compatible PrestaShop MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Vercel AI SDK

Connect PrestaShop MCP to Vercel AI SDK

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

GDPR Included with Plan

Key Capabilities

Stream PrestaShop Catalog Data via Vercel AI SDK

`list_products` grabs your entire e-commerce catalog using pagination bounds like `0,20`. Your Next.js app streams these XML-parsed arrays directly into the UI. You don't make users wait for a loading spinner. The AI client pulls pricing and descriptions while `get_product` targets specific item IDs. Inventory tracking happens live. You call `list_stock` to map available quantities across complex item structures. When a user asks about availability, `get_stock` hits the constrained resource ID. The stock count appears in your React component instantly.

Map Sales History in Real-Time

`list_orders` pulls active fulfillment statuses and totals directly against specific customer IDs. You pipe this data straight into your frontend dashboard. If a user needs a deep dive, `get_order` maps the raw Webservice XML nodes to trace line items and payment success paths. Customer context loads alongside the order. `list_customers` fetches emails, names, and account creation dates. Your Vercel AI SDK setup merges this CRM data with logistics lines from `list_addresses`. The UI updates as the agent reads the delivery bounds.

Read Store Geometry and Currencies

`list_categories` maps out all root and child categories dictating your store navigation. Your agent reads this to understand where products live. It builds the routing logic on the fly without hardcoded paths. Pricing context comes from `list_currencies`. This tool lists all active currencies configured within your PrestaShop interface. You feed these arrays to the streaming function, letting the model format international pricing correctly before it hits the DOM.

Setup guide

Set up PrestaShop MCP in Vercel AI SDK

Prerequisites

  • Node.js 18+ and a TypeScript project
  • ai + @modelcontextprotocol/sdk packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Create the Streamable HTTP transport

    Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all PrestaShop tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 4

    Works with any model provider

    Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent PrestaShop transactions",
});

console.log(text);
await mcpClient.close();

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.

Why Choose Vinkius

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

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 PrestaShop MCP in Vercel AI SDK

Run `npm install ai @ai-sdk/mcp`. Create your client with `createMCPClient({ transport: { type: "http", url: "..." } })`. Pass the tools to `streamText` and always call `mcpClient.close()` when finished.
Yes. When your agent calls `get_order`, the SDK streams the parsed XML nodes as they return. Your React UI renders the line items and shipping boundaries without waiting for the entire payload.
Tools like `list_products` and `list_orders` use a limit parameter string. You pass bounds like `0,20` to control the chunk size. This keeps your edge functions fast and prevents memory timeouts.
It handles them natively. Calling `list_addresses` returns spatial destination data. You can feed that array straight into a map component or shipping calculator on your frontend.
Your edge functions interact through a zero-trust V8 Isolate Sandbox. When `list_customers` fetches emails and names, the data stays within the ephemeral session. Vinkius handles the single endpoint token, keeping your backend credentials off the client.

Start using the PrestaShop MCP today

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