Compatible with every major AI agent and IDE
Analyze price trends on Vestiaire Collective
Analyser les tendances de prix pour une marque et catégorie (valorisation du luxe)
Get item details on Vestiaire Collective
Consulter un article : marque, état, authentification, prix vs. neuf, taille, matière
List available brands on Vestiaire Collective
Lister les marques de luxe disponibles (Hermès, Chanel, Louis Vuitton, Dior, etc.)
List available designers on Vestiaire Collective
Lister les créateurs et collections
List catalog categories on Vestiaire Collective
Lister les catégories (sacs, chaussures, vêtements, accessoires, bijoux, montres)
List my selling items on Vestiaire Collective
Consulter les articles en vente dans votre dressing
Search by brand on Vestiaire Collective
) et catégorie. Rechercher par marque de luxe et catégorie optionnelle
Search luxury items on Vestiaire Collective
Fournissez une requête textuelle. Rechercher des articles de luxe par mots-clés (ex : "Hermès Birkin", "Chanel tweed")
Search with advanced filters on Vestiaire Collective
Fournissez les filtres sous forme de paramètres. Recherche avancée avec filtres multiples : marque, état, prix, couleur, matière, pays
How Vinkius protects your data
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
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.
Automated Workflows using Vestiaire Collective
The Vestiaire Collective MCP server handles authentication and payload formatting, allowing your LLM to perform deterministic actions.
Autonomous luxury resale Strategies
The Vestiaire Collective MCP manages API routing for luxury resale. This enables AI agents like Claude Code to execute structured ecommerce queries.
Intelligent marketplace Management
Provide Claude Code and Cursor with read and write access to marketplace. The Vestiaire Collective toolkit handles all necessary routing for ecommerce integrations.
Vestiaire Collective. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
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.
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