How to Use the Klevu (E-commerce AI Search) MCP in Cline

Q: What happens if I ask Cline for a specific product ID?

Cline will use searchproductid to fetch the specific item details. It then writes the code to render that product on your page.

Cline executes Klevu search tasks directly in your IDE. Build features by letting the agent handle data retrieval and file updates.

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Connect Klevu (E-commerce AI Search) MCP to Cline

Create your Vinkius account to connect Klevu (E-commerce AI Search) to Cline 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 Klevu (E-commerce AI Search) with Cline

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End-to-end search implementation in Cline

Cline uses `search_keyword` to find products based on your requirements. It writes the necessary code to display these results in your project files without asking for constant input. When you need to narrow results, Cline invokes `search_filtered` automatically. It parses your request, applies the filters, and stages the code changes for you to review.

Automated product merchandising in Cline

You can task Cline with building category pages using `search_category`. It fetches the data and creates the components needed to show products correctly. Cline also manages sorting requirements by calling `search_sorted`. It ensures your logic correctly handles the returned data structures so the product list appears exactly as intended.

Dynamic recommendations via Cline

Cline adds recommendation engines to your store by calling `search_recs`. It integrates the response into your current build, linking the logic to your existing UI components. It can also pull in `search_trending` data to populate your site's featured sections. Cline writes the imports and API handlers, meaning you just check the diff.

Setup guide

Set up Klevu (E-commerce AI Search) 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 klevu-e-commerce-ai-search-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 Klevu (E-commerce AI Search) 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": {
    "klevu-e-commerce-ai-search-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about Klevu (E-commerce AI Search) MCP in Cline

Open the MCP settings tab in your sidebar. You can select the server from the marketplace list or add it via URL for a quick connection.

Absolutely. Just ask Cline to build a search component, and it will use `search_autocomplete` to provide the suggestions as the user types.

Yes. When you ask Cline to handle large product sets, it calls `search_pagination` to ensure the site displays items in manageable chunks.

Cline will use `search_product_id` to fetch the specific item details. It then writes the code to render that product on your page.

Vinkius secures your connection with a single token. Cline only touches the product metadata returned by the API during your active coding session.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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