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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
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Use Klevu with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Power your e-commerce discovery via Klevu AI. execute keyword searches, manage category merchandising, and retrieve product recommendations.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 10 capabilities

The complete Klevu capability set.

These are the exact actions your AI can choose when you ask it to work with Klevu.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 10 available through Klevu.

  1. 01

    Search category

    Retrieve products for a specific category page (Smart Category Merchandising)

  2. 02

    Search filtered

    G., color, size, brand) applied to narrow down the result set. Search the Klevu catalog with specific facet filters applied

  3. 03

    Search keyword

    Search catalog by keyword using Klevu AI

  4. 04

    Search product ID

    Retrieve details for a specific catalog product by ID

Capability set02 / 03

05-07

3 capabilities in this set.

Part of 10 available through Klevu.

  1. 05

    Search recs

    Fetch Klevu AI product recommendations

  2. 06

    Search trending

    View currently trending and most relevant globalThis products

  3. 07

    Search autocomplete

    Fetch search autocomplete suggestions as the user types

Capability set03 / 03

08-10

3 capabilities in this set.

Part of 10 available through Klevu.

  1. 08

    Search pagination

    Retrieve paginated results for a search query

  2. 09

    Search raw

    Execute a custom JSON search payload against the Klevu API

  3. 10

    Search sorted

    Perform a keyword search with a custom sorting order

Observed, not estimated

880ms average. Fast in production.

Klevu is checked daily against the live service.

Daily averagePeak 1015ms
Aug 24Today
Fastest day
736ms
Slowest day
1015ms
14-day trend
Stable+4%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 10 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Klevu, so you can see the experience inside your AI.

It does not authenticate your account with Klevu. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Klevu Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_upWpYwqu7xFl2Y0MdSXFTqA1KcNBDKyb7teJnJ7k/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Klevu capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "klevu-e-commerce-ai-search-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_upWpYwqu7xFl2Y0MdSXFTqA1KcNBDKyb7teJnJ7k/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Klevu owners ask.

  • 01

    Can I test how different filters affect search results through my agent?

    Yes. Use the search_filtered capability by providing a query and specific facet values (e.g., 'color': 'red'). Your agent will return the filtered result set, allowing you to verify that your indexing and category mappings are working correctly.

  • 02

    How do I get AI product recommendations using natural language?

    The search_recs capability allows your agent to fetch product recommendations based on specific ML logics, such as visual similarity or trending items. Simply ask your agent to show recommendations for a specific context or logic path.

  • 03

    Can I see which products are currently trending across my whole store?

    Absolutely. Use the search_trending capability to retrieve a baseline query sorted by relevance and sales velocity. Your agent will return the most popular items across your entire catalog, helping you monitor seasonal trends in real-time.

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