Vestiaire Collective MCP Server
Search, analyze, and manage luxury resale items on Vestiaire Collective — the global community for pre-loved fashion.
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What is the Vestiaire Collective MCP Server?
The Vestiaire Collective MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Vestiaire Collective via 9 tools. Search, analyze, and manage luxury resale items on Vestiaire Collective — the global community for pre-loved fashion. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (9)
Tools for your AI Agents to operate Vestiaire Collective
Ask your AI agent "Search for vintage Hermès Birkin bags in very good condition under 15000 EUR." and get the answer without opening a single dashboard. With 9 tools connected to real Vestiaire Collective data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client
Vestiaire Collective MCP Server capabilities
9 toolsAnalyser les tendances de prix pour une marque et catégorie (valorisation du luxe)
Consulter un article : marque, état, authentification, prix vs. neuf, taille, matière
Lister les marques de luxe disponibles (Hermès, Chanel, Louis Vuitton, Dior, etc.)
Lister les créateurs et collections
Lister les catégories (sacs, chaussures, vêtements, accessoires, bijoux, montres)
Consulter les articles en vente dans votre dressing
) et catégorie. Rechercher par marque de luxe et catégorie optionnelle
Fournissez une requête textuelle. Rechercher des articles de luxe par mots-clés (ex : "Hermès Birkin", "Chanel tweed")
Fournissez les filtres sous forme de paramètres. Recherche avancée avec filtres multiples : marque, état, prix, couleur, matière, pays
What the Vestiaire Collective MCP Server unlocks
Connect your Vestiaire Collective seller account to any AI agent and take full control of your luxury resale business through natural conversation.
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
How it works
1. Subscribe to this server
2. Enter your Vestiaire Collective API Key and API URL
3. Start managing your luxury fashion inventory through Claude, Cursor, or any MCP-compatible client
No more manual price tracking or inventory spreadsheets. Your AI agent becomes your personal luxury fashion consultant and sales manager.
Who is this for?
- Professional Sellers — automate inventory tracking and optimize resale pricing using real-time market data
- Luxury Collectors — quickly find rare items and analyze price trends for investment-grade fashion pieces
- Fashion Resellers — manage multiple listings and monitor market demand across luxury categories
- Stylists & Personal Shoppers — source specific high-end pieces for clients through advanced AI-powered filtering
Frequently asked questions about the Vestiaire Collective MCP Server
Can I monitor my own luxury listings and sales status?
Yes. The list_my_selling_items tool allows your AI agent to pull a list of all items you currently have for sale in your Vestiaire Collective dressing room, along with their current status and metadata, helping you stay organized without manual tracking.
How can I find out the resale value of a luxury bag?
Ask your agent to analyze price trends using the analyze_price_trends tool. Provide the brand and category, and it will surface historical price data and market trends, helping you decide on the best listing price for your item or identifying investment opportunities.
Is it possible to filter search results by item condition or material?
Absolutely. Use the search_with_advanced_filters tool to narrow down results by brand, category, condition (e.g., never worn, very good), price range, color, material, and even the country of the seller for more localized results.
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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.
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Give your AI agents the power of Vestiaire Collective MCP Server
Production-grade Vestiaire Collective MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.