Vestiaire Collective MCP Server for CrewAI 9 tools — connect in under 2 minutes
Connect your CrewAI agents to Vestiaire Collective through the Vinkius — pass the Edge URL in the `mcps` parameter and every Vestiaire Collective tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from crewai import Agent, Task, Crew
agent = Agent(
role="Vestiaire Collective Specialist",
goal="Help users interact with Vestiaire Collective effectively",
backstory=(
"You are an expert at leveraging Vestiaire Collective tools "
"for automation and data analysis."
),
# Your Vinkius token — get it at cloud.vinkius.com
mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)
task = Task(
description=(
"Explore all available tools in Vestiaire Collective "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 9 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* 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.
When paired with CrewAI, Vestiaire Collective becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Vestiaire Collective tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.
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 CrewAI 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 CrewAI via MCP
Follow these steps to integrate the Vestiaire Collective MCP Server with CrewAI.
Install CrewAI
Run pip install crewai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Customize the agent
Adjust the role, goal, and backstory to fit your use case
Run the crew
Run python crew.py — CrewAI auto-discovers 9 tools from Vestiaire Collective
Why Use CrewAI with the Vestiaire Collective MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Vestiaire Collective through the Model Context Protocol.
Multi-agent collaboration lets you decompose complex workflows into specialized roles — one agent researches, another analyzes, a third generates reports — each with access to MCP tools
CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Vestiaire Collective + CrewAI Use Cases
Practical scenarios where CrewAI combined with the Vestiaire Collective MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries Vestiaire Collective for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff
Scheduled intelligence reports: set up a crew that periodically queries Vestiaire Collective, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain Vestiaire Collective tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow
Compliance and audit automation: a compliance agent queries Vestiaire Collective against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Vestiaire Collective MCP Tools for CrewAI (9)
These 9 tools become available when you connect Vestiaire Collective to CrewAI 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 CrewAI
Ready-to-use prompts you can give your CrewAI 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 CrewAI
Common issues when connecting Vestiaire Collective to CrewAI through the Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
Vestiaire Collective + CrewAI FAQ
Common questions about integrating Vestiaire Collective MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.Can different agents in the same crew use different MCP servers?
mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.What happens when an MCP tool call fails during a crew run?
Can CrewAI agents call multiple MCP tools in parallel?
process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.Can I run CrewAI crews on a schedule (cron)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Connect Vestiaire Collective with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python SDK for building production-grade OpenAI agent workflows.
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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 CrewAI
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.