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How to Use the Vestiaire Collective MCP in Google ADK

Manage luxury resale inventory with Google ADK and Vestiaire Collective's MCP Server.

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Google ADK

Connect Vestiaire Collective MCP to Google ADK

Create your Vinkius account to connect Vestiaire Collective to Google ADK 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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Item data retrieval

When you use `get_item_details`, your agent pulls comprehensive information about a single item: brand, material, size, condition, authentication status, and the price comparison against new retail. You get all the facts for evaluation. The pricing context is covered by `analyze_price_trends`. This tool lets your agent analyze how prices have moved for certain luxury categories or brands over time, helping you set a competitive listing price.

Finding items and collections

Need to know the available scope? The `list_catalog_categories` tool gives a full list of types—bags, shoes, clothes, accessories, jewelry, watches. It maps out every possible listing type. The agent can also pull lists for specific groups using tools like `list_available_brands` or `list_available_designers`. This ensures you cover the entire spectrum of luxury fashion available on Vestiaire Collective.

Executing advanced searches

Searching gets complicated fast. Use `search_with_advanced_filters` to build a powerful query with multiple parameters—color, material, price, state, or country. This is way better than simple keyword searching. If the filters are too much hassle, just use `search_luxury_items`. Your agent takes your plain text request, like 'Hermès Birkin,' and searches through millions of listings on Vestiaire Collective.

Setup guide

Set up Vestiaire Collective MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Vestiaire Collective tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Vestiaire Collective_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Vestiaire Collective tools via MCP.",
    tools=mcp_tools,
)

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 Google ADK

Use the `search_by_brand` tool. You provide a luxury brand and, if necessary, an optional category. This narrows down your results immediately so you can focus on key collections.
Yes. The `list_my_selling_items` tool allows your agent to view all the articles currently listed under your profile. It's a quick way to audit your inventory.
This server handles **user listing metadata** and **item catalog details**. The specific data points include brand name, material composition, item condition, price point, size, and geographical origin.
The `list_catalog_categories` tool provides a full list of all possible fashion categories—everything from bags to watches. It’s the foundational step for any large-scale search or listing management.
You call `search_with_advanced_filters`. This tool lets you pass multiple parameters—like 'Dior,' 'used,' 'blue,' and 'silk'—to execute a hyper-specific search across the platform.

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