Vestiaire Collective MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Vestiaire Collective through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Vestiaire Collective, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Vestiaire Collective MCP Server
Connect your Vestiaire Collective seller account to any AI agent and take full control of your luxury resale business through natural conversation.
The Vercel AI SDK gives every Vestiaire Collective tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Luxury Search — Find authenticated luxury items from brands like Hermès, Chanel, Louis Vuitton, and Gucci with precision
- Advanced Filters — Search by brand, category, condition, price range, color, and material to find exactly what you're looking for
- Price Analysis — Analyze market trends and resale value for specific luxury brands and categories to optimize your pricing
- Inventory Management — List and track your own selling items and dressing room status directly from your agent
- Catalog Discovery — Browse available brands, designers, and categories within the vast Vestiaire Collective catalog
- Authentication & Details — Retrieve full metadata for items including condition, price history vs. new, and material details
The Vestiaire Collective MCP Server exposes 9 tools through the Vinkius. Connect it to Vercel AI SDK 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 Vestiaire Collective to Vercel AI SDK via MCP
Follow these steps to integrate the Vestiaire Collective MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 9 tools from Vestiaire Collective and passes them to the LLM
Why Use Vercel AI SDK with the Vestiaire Collective MCP Server
Vercel AI SDK provides unique advantages when paired with Vestiaire Collective through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Vestiaire Collective integration everywhere
Built-in streaming UI primitives let you display Vestiaire Collective tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Vestiaire Collective + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Vestiaire Collective MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Vestiaire Collective in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Vestiaire Collective tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Vestiaire Collective capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Vestiaire Collective through natural language queries
Vestiaire Collective MCP Tools for Vercel AI SDK (9)
These 9 tools become available when you connect Vestiaire Collective to Vercel AI SDK via MCP:
analyze_price_trends
Analyser les tendances de prix pour une marque et catégorie (valorisation du luxe)
get_item_details
Consulter un article : marque, état, authentification, prix vs. neuf, taille, matière
list_available_brands
Lister les marques de luxe disponibles (Hermès, Chanel, Louis Vuitton, Dior, etc.)
list_available_designers
Lister les créateurs et collections
list_catalog_categories
Lister les catégories (sacs, chaussures, vêtements, accessoires, bijoux, montres)
list_my_selling_items
Consulter les articles en vente dans votre dressing
search_by_brand
) et catégorie. Rechercher par marque de luxe et catégorie optionnelle
search_luxury_items
Fournissez une requête textuelle. Rechercher des articles de luxe par mots-clés (ex : "Hermès Birkin", "Chanel tweed")
search_with_advanced_filters
Fournissez les filtres sous forme de paramètres. Recherche avancée avec filtres multiples : marque, état, prix, couleur, matière, pays
Example Prompts for Vestiaire Collective in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Vestiaire Collective immediately.
"Search for vintage Hermès Birkin bags in very good condition under 15000 EUR."
"What is the current resale trend for Chanel Flap Bags?"
"List all items I currently have for sale."
Troubleshooting Vestiaire Collective MCP Server with Vercel AI SDK
Common issues when connecting Vestiaire Collective to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpVestiaire Collective + Vercel AI SDK FAQ
Common questions about integrating Vestiaire Collective MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Vestiaire Collective 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 Vestiaire Collective to Vercel AI SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.