How to Use the Vestiaire Collective MCP in Mastra AI

Q: How can I track price changes using Vestiaire Collective and Mastra AI?

The analyzepricetrends tool is built exactly for this. Your workflow calls it, passes the brand and category, and gets back a trend analysis that your agent uses to make decisions.

Q: What if I need to find items across multiple criteria using Vestiaire Collective and Mastra AI?

Use searchwithadvancedfilters. This tool handles complex filtering—you can require a specific material, country, condition, and brand all at once. It's perfect for multi-step validation.

Q: Does the MCP Server help me manage my inventory on Vestiaire Collective and Mastra AI?

Yes. You can use listmysellingitems to pull up a current list of assets. This data is critical for workflows that involve checking stock before processing an order or listing update.

Q: What tools help me discover what's available on Vestiaire Collective and Mastra AI?

You can combine listavailablebrands with searchbybrand. This lets your agent first list the brands, then immediately execute a search for one of those specific brands combined with an optional category.

Execute multi-step luxury fashion workflows reliably with Mastra AI's robust MCP Server capabilities.

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Connect Vestiaire Collective MCP to Mastra AI

Create your Vinkius account to connect Vestiaire Collective to Mastra AI 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 Mastra AI

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Analyze Price Fluctuation on MCP Server

You need to build a workflow that determines if a resale price is fair? Run `analyze_price_trends` for any luxury brand and category. The tool returns the valuation history, giving your agent actionable data points. This mechanism allows your complex multi-step process to decide whether an item needs a price adjustment before listing or sale.

Find Items by Advanced Criteria

Don't rely on simple keyword searches. Use `search_with_advanced_filters` to build sophisticated search criteria. Your agent can pass in parameters like 'Brand X,' 'Excellent Condition,' 'Blue,' and a specific price range. This capability ensures that only highly relevant listings are passed along in the workflow, minimizing false positives.

Map Out Site Structure on MCP Server

If your agent needs to know what general product groups exist, it can call `list_catalog_categories` and `list_available_brands`. These tools establish the full taxonomy of Vestiaire Collective. Similarly, running `list_available_designers` provides a comprehensive list that your workflow engine uses for routing or conditional checks.

Setup guide

Set up Vestiaire Collective MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Vestiaire Collective tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "vestiaire-collective-mcp-client",
  servers: {
    "vestiaire-collective-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Vestiaire Collective Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Vestiaire Collective tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Vestiaire Collective transactions"
);
console.log(result.text);

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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 Mastra AI

The `analyze_price_trends` tool is built exactly for this. Your workflow calls it, passes the brand and category, and gets back a trend analysis that your agent uses to make decisions.

Use `search_with_advanced_filters`. This tool handles complex filtering—you can require a specific material, country, condition, *and* brand all at once. It's perfect for multi-step validation.

Yes. You can use `list_my_selling_items` to pull up a current list of assets. This data is critical for workflows that involve checking stock before processing an order or listing update.

You can combine `list_available_brands` with `search_by_brand`. This lets your agent first list the brands, then immediately execute a search for one of those specific brands combined with an optional category.

This server touches item details like brand and condition. It allows agents to retrieve granular info using `get_item_details` which is key for validating a listing's authenticity claims.

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