Vestiaire Collective MCP Server for LangChain 9 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Vestiaire Collective through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MultiServerMCPClient({
"vestiaire-collective": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Vestiaire Collective, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(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.
LangChain's ecosystem of 500+ components combines seamlessly with Vestiaire Collective through native MCP adapters. Connect 9 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Vestiaire Collective MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 9 tools from Vestiaire Collective via MCP
Why Use LangChain with the Vestiaire Collective MCP Server
LangChain provides unique advantages when paired with Vestiaire Collective through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine Vestiaire Collective MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Vestiaire Collective queries for multi-turn workflows
Vestiaire Collective + LangChain Use Cases
Practical scenarios where LangChain combined with the Vestiaire Collective MCP Server delivers measurable value.
RAG with live data: combine Vestiaire Collective tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Vestiaire Collective, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Vestiaire Collective tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Vestiaire Collective tool call, measure latency, and optimize your agent's performance
Vestiaire Collective MCP Tools for LangChain (9)
These 9 tools become available when you connect Vestiaire Collective to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Vestiaire Collective to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersVestiaire Collective + LangChain FAQ
Common questions about integrating Vestiaire Collective MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.