Klevu E Commerce AI SearchをAIに接続

• 01 / 03商品トレンドの分析方法
• 02 / 03マーチャンダイジングルールの監査方法
• 03 / 03検索関連性のテスト方法

最速日

776ms

最遅日

1148ms

14日間の傾向

安定0%

Klevu Connector

準備完了です。MCPクライアントを選択し、セットアップ手順に従ってください。

コネクタリンクhttps://edge.vinkius.com/vk_preview_upWpYwqu7xFl2Y0MdSXFTqA1KcNBDKyb7teJnJ7k/mcpコピー

Claude Desktop

以下の手順で数秒で接続できます。

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.

設定 · claude_desktop_config.jsonコピー

{
  "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

各クライアントの手順ガイドはこちらです。 接続方法

Claude向けのガイド付きセットアップ？ KlevuをClaudeや他のAIに設定する

このConnectorが対応するすべてのAIクライアントを見る ↑

• 01

  Eコマース開発者

  Postmanなどのツールを使わずに、自然な対話を通じて検索の関連性やカテゴリAPIの結果をテストできます。

• 02

  デジタルマーチャンダイザー

  複数のカテゴリやストアビューにおける商品のランキングやレコメンドロジックを効率的に監査できます。

• 03

  データアナリスト

  トレンド商品や検索パフォーマンスを監視し、市場の機会やカタログの不足している部分を特定できます。

• 01

  How do I connect my Klevu account?

  You subscribe to the MCP on Vinkius and enter your Klevu Search URL and API Key. Once connected, it is ready to use in your AI client.

• 02

  Which AI clients can I use with this MCP?

  You can use any MCP-compatible client, including Claude, Cursor, and Windsurf.

• 03

  Can I run custom API calls?

  Yes, the search_raw capability allows you to execute custom JSON search payloads for specific V2 API settings.

• 04

  Does this replace my Klevu dashboard?

  It acts as a conversational interface for your Klevu data, making it easier to audit and test search results without using the dashboard or manual API capabilities.

• 05

  Can I see what products are trending?

  Yes, you can use the search_trending capability to view products with high global velocity and relevance.

• 06

  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.

• 07

  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.

• 08

  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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