How to Use the Vestiaire Collective MCP in Cline

Q: How do I retrieve all available brands for a React component using Vestiaire Collective and Cline?

Run listavailablebrands first. The JSON output provides an array you can map over immediately in your code. This keeps your component clean and avoids manual data maintenance.

Q: If I need to search for items by brand, what function should Cline use on Vestiaire Collective?

Use searchbybrand or the more detailed searchwithadvancedfilters. If you're writing a specific endpoint for filtering, these tools provide the necessary structured input parameters.

Q: What if I want to build a dashboard that tracks my sales on Vestiaire Collective?

Start by calling listmysellingitems. This gives you an array of your current inventory. Then, use analyzepricetrends to calculate the potential value of those items over time.

Q: Can I write a function that only pulls item specifics for logging purposes?

Yes, calling getitemdetails is perfect for this. It gives you all the specific metadata points needed—size, material, condition—in one clean object.

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Connect Vestiaire Collective MCP to Cline

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Setup Vestiaire Collective with Cline

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Perplexity

Generating structured category lists.

You can use `list_catalog_categories` to get a reliable JSON object of every product type. This data is perfect for building dropdown menus or validating user input in your code base. If you need a list of available brands, run `list_available_brands`. Cline takes that raw output and lets you import it directly into a component, ensuring your frontend always has the latest selection options.

Implementing complex search logic.

Need to build a filter sidebar? You can write code that calls `search_with_advanced_filters`, taking parameters like state, color, and material. Cline handles the function signature for you. This lets you create robust data fetching functions. Instead of writing boilerplate API calls, you just call the tool within your component logic: `search_by_brand(brand='Chanel', category='bags')`.

Modeling item details for dashboards.

When building a dashboard, you need precise data points. Calling `get_item_details` allows you to structure variables like 'authentication status' or 'price vs. new retail.' You can use this data point directly in your calculations. Furthermore, if you’re tracking market movement, calling `analyze_price_trends` gives you time-series data that populates charts and graphs right into the component you're writing.

Setup guide

Set up Vestiaire Collective MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type vestiaire-collective-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest Vestiaire Collective refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

{
  "mcpServers": {
    "vestiaire-collective-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Vestiaire Collective MCP in Cline

Run `list_available_brands` first. The JSON output provides an array you can map over immediately in your code. This keeps your component clean and avoids manual data maintenance.

Use `search_by_brand` or the more detailed `search_with_advanced_filters`. If you're writing a specific endpoint for filtering, these tools provide the necessary structured input parameters.

Start by calling `list_my_selling_items`. This gives you an array of your current inventory. Then, use `analyze_price_trends` to calculate the potential value of those items over time.

Yes, calling `get_item_details` is perfect for this. It gives you all the specific metadata points needed—size, material, condition—in one clean object.

The server provides structured item metadata, including brand names, category paths, and specific financial parameters like current pricing and authenticated status. It's all highly typed for your development environment.

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