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

Q: Does Claude Code support Klevu (E-commerce AI Search) for automated testing?

It does. You can call searchkeyword or searchfiltered during your build process to ensure your search functionality remains accurate.

Claude Code runs Klevu search tasks from your terminal. Headless execution for your CI/CD pipelines and backend scripts.

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Connect Klevu (E-commerce AI Search) MCP to Claude Code

Create your Vinkius account to connect Klevu (E-commerce AI Search) to Claude Code 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 Claude Code

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Headless search operations in Claude Code

Run `search_keyword` directly from your terminal to verify search results during CI/CD. It pipes the output to your logs or other scripts for immediate validation. Claude Code executes `search_filtered` to test search logic with specific parameters in your test suite. It provides precise feedback on how your filters affect the result set.

Scripted category management in Claude Code

Automate your merchandising tasks by calling `search_category` within a shell script. It retrieves your product data without needing a browser or GUI. Use `search_sorted` to programmatically check if your search rankings meet business requirements. Claude Code returns the raw JSON so you can assert results in your test pipeline.

Data-driven recommendations in Claude Code

Integrate `search_recs` into your backend jobs to generate product lists for email campaigns or static sites. It handles the request and output autonomously. Claude Code also invokes `search_raw` for complex JSON payloads that require custom logic. It lets you test your API interactions from the command line in seconds.

Setup guide

Set up Klevu (E-commerce AI Search) MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see klevu-e-commerce-ai-search-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Klevu (E-commerce AI Search) transactions." It will automatically discover and invoke the available Klevu (E-commerce AI Search) tools.

Terminal

claude mcp add --transport http klevu-e-commerce-ai-search-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Klevu (E-commerce AI Search) MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "klevu-e-commerce-ai-search-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Klevu. 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 Klevu (E-commerce AI Search) MCP in Claude Code

Use the add command with your server URL to connect. Once linked, you can execute any of the 10 tools directly from your terminal.

Yes. Since it is a terminal-based agent, you can easily pipe the output of these tools into your existing bash or python automation scripts.

It does. You can call `search_keyword` or `search_filtered` during your build process to ensure your search functionality remains accurate.

It supports stdio, http, and sse. You configure these in your ~/.claude.json file to match your infrastructure requirements.

Security is enforced via Vinkius managed tokens. The server only processes the product details and search parameters you pass during execution, ensuring no data leakage.

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