How to Use the Vestiaire Collective MCP in Vercel AI SDK

Q: How do I check current inventory with Vestiaire Collective and Vercel AI SDK?

Call listavailablebrands to get the master list of luxury brands. You can then pass that data into your frontend component, allowing users to browse available designers immediately.

Q: Can I see specific item details for a listing using Vestiaire Collective and Vercel AI SDK?

Yes. The getitemdetails tool pulls everything you need—the authentication status, the condition (is it used?), size, material, and how much it costs compared to new retail prices.

Q: What if I want to search for something niche using Vestiaire Collective and Vercel AI SDK?

Use searchluxuryitems. Just drop in a descriptive phrase like 'vintage Chanel brooch.' It handles the text query, making sure your user sees relevant results even without perfect filters.

Q: Which tools help manage my own sales on Vestiaire Collective and Vercel AI SDK?

The listmysellingitems tool lets you pull up the items currently listed in your personal closet. This is crucial for dashboards that need to show the user what they've made available.

Get real-time luxury data streaming directly into your UI using the Vercel AI SDK.

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Connect Vestiaire Collective MCP to Vercel AI SDK

Create your Vinkius account to connect Vestiaire Collective to Vercel AI SDK 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 Vestiaire Collective with Vercel AI SDK

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Monitor Market Trends with MCP Server

Need to know if a Birkin bag is peaking or dipping? The `analyze_price_trends` tool checks price movements for any given brand and category. This lets you show users the historical value of luxury goods right in your frontend. You can pass specific parameters—like 'Dior' and 'handbags'—and get back a data set showing how much that item has valued over time.

Search Listings with MCP Server

A user needs to find something specific? You can use `search_luxury_items` by passing in just keywords, like 'Chanel tweed jacket.' It handles the basic text search so you don't need complex filtering upfront. Better yet, `search_with_advanced_filters` lets your client nail down results using multiple parameters: condition, color, price range, and material.

Build a Catalog with MCP Server

Your app needs to show what's available? Start by listing the major categories—bags, shoes, or clothes—using `list_catalog_categories`. This gives you the primary navigation structure for Vestiaire Collective. If they want to narrow it down, `list_available_brands` pulls the full list of designers (Hermès, Louis Vuitton, etc.). You can feed this data directly into dropdown menus in your React component.

Setup guide

Set up Vestiaire Collective 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

Install dependencies

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

Discover and use tools

Call mcpClient.tools() to auto-discover all Vestiaire Collective tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
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 Vestiaire Collective transactions",
});

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

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 Vestiaire Collective. 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 Vestiaire Collective MCP in Vercel AI SDK

Call `list_available_brands` to get the master list of luxury brands. You can then pass that data into your frontend component, allowing users to browse available designers immediately.

Yes. The `get_item_details` tool pulls everything you need—the authentication status, the condition (is it used?), size, material, and how much it costs compared to new retail prices.

Use `search_luxury_items`. Just drop in a descriptive phrase like 'vintage Chanel brooch.' It handles the text query, making sure your user sees relevant results even without perfect filters.

The `list_my_selling_items` tool lets you pull up the items currently listed in your personal closet. This is crucial for dashboards that need to show the user what they've made available.

This server touches item details, specifically material and condition descriptions. It helps manage the visibility of personal selling items through `list_my_selling_items`.

Use it with your favorite AI tools

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