How to Use the Vestiaire Collective MCP in OpenAI Agents SDK

Q: How do I check pricing trends for Vestiaire Collective using OpenAI Agents SDK?

You run the analyzepricetrends tool. It analyzes historical data for a given brand or category, giving you insight into market valuation. This helps you price your items correctly when listing them on Vestiaire Collective.

Q: Can I check my current inventory using OpenAI Agents SDK?

Absolutely. The listmysellingitems tool reads the details of all the articles currently listed in your personal wardrobe section. This is key for managing your sales on Vestiaire Collective.

Q: What data types does this MCP Server touch regarding data privacy?

This server primarily touches item listing metadata and user inventory details. It pulls information like brand, condition, size, material, price, and item ID from your account.

Q: How can I search for specific brands on Vestiaire Collective using OpenAI Agents SDK?

You use the searchbybrand tool. You provide a luxury brand name (like Chanel or Dior) and optionally narrow it down with a category filter to quickly find what you're looking for.

Q: Does this MCP Server help me list available designers on Vestiaire Collective using OpenAI Agents SDK?

Yes. The listavailabledesigners tool gives your agent a complete rundown of all the creators and collections available in the catalog, ensuring you don't miss any listings.

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Connect Vestiaire Collective MCP to OpenAI Agents SDK

Create your Vinkius account to connect Vestiaire Collective to OpenAI Agents 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 OpenAI Agents SDK

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Perplexity

Researching item specifics and pricing

The `get_item_details` tool pulls all the data points you need on a specific piece: brand, condition, authentication status, size, material, and how its current price stacks up against retail. It's quick reading—you get the full picture in one go. The `analyze_price_trends` function provides context for the listing itself. You can run it to see historical pricing patterns for a particular luxury brand or category, helping you decide if an item is priced right on Vestiaire Collective.

Finding inventory and categories

Need to know what's out there? `list_catalog_categories` gives you the full scope of items—bags, shoes, clothes, jewelry, watches, plus accessories. It maps out everything a buyer or seller could list. The `search_by_brand` tool lets your agent check specific luxury brands and then narrow it down by an optional category filter. This keeps searches tight, pointing you straight to the right collection.

Complex item searching

When simple keywords aren't enough, use `search_with_advanced_filters`. This function lets you build a highly specific query using multiple parameters like material, condition, color, country, and price range. It cuts through the noise of thousands of listings. Alternatively, if you know exactly what you want but prefer natural language, just fire off a request to `search_luxury_items`. You can use plain text keywords, like 'Hermès Birkin' or 'Chanel tweed,' and let the agent handle the rest.

Setup guide

Set up Vestiaire Collective MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Vestiaire Collective tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Vestiaire Collective tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Vestiaire Collective tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Vestiaire Collective Agent",
            instructions="You have access to Vestiaire Collective tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 OpenAI Agents SDK

You run the `analyze_price_trends` tool. It analyzes historical data for a given brand or category, giving you insight into market valuation. This helps you price your items correctly when listing them on Vestiaire Collective.

Absolutely. The `list_my_selling_items` tool reads the details of all the articles currently listed in your personal wardrobe section. This is key for managing your sales on Vestiaire Collective.

This server primarily touches **item listing metadata** and **user inventory details**. It pulls information like brand, condition, size, material, price, and item ID from your account.

You use the `search_by_brand` tool. You provide a luxury brand name (like Chanel or Dior) and optionally narrow it down with a category filter to quickly find what you're looking for.

Yes. The `list_available_designers` tool gives your agent a complete rundown of all the creators and collections available in the catalog, ensuring you don't miss any listings.

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