Product Usage Engagement EngineをAIに接続

最速日

787ms

最遅日

1009ms

14日間の傾向

遅延傾向+6%

Product Usage Engine 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_IMtyKtVdvlYPnnZKaSgD803v7RS5yLMjhQH0E1pI/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 — Product Usage Engine capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "product-usage-engagement-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_IMtyKtVdvlYPnnZKaSgD803v7RS5yLMjhQH0E1pI/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？ Product Usage Engine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

  プロダクトマネージャー

  プロダクトの健全性やユーザーの定着状況をリアルタイムで把握し、改善策を講じるために使用します。

• 02

  データアナリスト

  ユーザー行動とリテンションの相関関係を素早く検証し、深い洞察を得るために活用します。

• 03

  グロースエンジニア

  機能の採用率やパワーユーザーの分布を分析し、プロダクトの成長戦略を策定するために利用します。

• 01

  What is a stickiness ratio?

  It is the ratio of Daily Active Users to Monthly Active Users. It shows how often your monthly users return to your product on a daily basis.

• 02

  How does the engagement score work?

  The capability takes session duration, the number of actions per session, and the feature adoption rate to create a single synthesized score.

• 03

  Can I use this with Claude or Cursor?

  Yes, you can connect this MCP to any MCP-compatible client including Claude, Cursor, and Windsurf.

• 04

  How do I identify power users?

  You use the generate_power_user_distribution capability by passing in a JSON string of user activity days to see how users are distributed across activity tiers.

• 05

  Does this MCP host my data?

  No, Vinkius hosts the MCP itself, but you provide the specific metrics or data strings to the capabilities when you prompt your agent.

• 06

  How do I calculate my product's stickiness?

  You can use the get_stickiness_metrics capability by providing your Daily Active Users (DAU) and Monthly Active Users (MAU).

• 07

  Can I identify my power users?

  Yes, the generate_power_user_distribution capability provides a breakdown of activity levels and identifies the ratio of power users within a 30-day window.

• 08

  How is the engagement score determined?

  The calculate_engagement_score capability synthesizes session duration, action density, and feature adoption rates into a single score.

• 

  Product-Market Fit Score Engine AIコネクタ

  Quantify product-market fit using Sean Ellis methodology and business metrics.

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• 

  Product-Market Fit Diagnostic Engine AIコネクタ

  Evaluates product maturity and market resonance using retention, sentiment, and growth signals.

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• 

  AI Power User Analytics Engine AIコネクタ

  Quantify AI power user density, value multipliers, and feature depth.

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• 

  AI Feature Usage Analytics AIコネクタ

  Analyze AI feature stickiness, usage distribution, and engagement trajectories.

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