AI Search Investment ModelerをAIに接続

最速日

696ms

最遅日

971ms

14日間の傾向

安定+3%

AI Search Modeler 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_4sybgVVU9LYndPjDU66KffbBh9Hw9nUIhzmV6qOz/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 — AI Search Modeler capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "ai-search-investment-modeler-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_4sybgVVU9LYndPjDU66KffbBh9Hw9nUIhzmV6qOz/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？ AI Search Modeler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

  ユーザー体験を向上させるための機能追加の優先順位付けや、必要な投資額の算出に役立ちます。

• 02

  CTO（最高技術責任者）

  新しい検索インフラの技術的な実現可能性と、それがビジネスにもたらすコスト効率を評価できます。

• 03

  eコマース担当者

  検索結果の関連度を上げ、コンバージョン率向上に直結する具体的な投資計画を立てられます。

• 01

  Is this just a calculator, or does it provide strategic advice?

  It's both. While it calculates specific metrics like infrastructure cost and latency impact, it also uses those numbers to provide strategic advice on where you should invest or cut spending.

• 02

  Does it account for embeddings and storage costs?

  Yes. The MCP calculates the total monetary cost, specifically detailing the monthly spend required for both storage and embeddings.

• 03

  Can I use this for different types of search enhancements?

  You can model enhancements like semantic search, reranking, and hybrid search to see their specific impact on relevance and performance.

• 04

  What kind of data does it predict?

  It predicts three main things: the total monetary cost, the increase in user latency, and the quality lift, measured as a relevance score improvement.

• 05

  How does this capability calculate infrastructure costs?

  The calculate_infrastructure_investment capability calculates costs by summing the storage for the index, the cost of generating embeddings for the specified index size, and the compute costs for processing the monthly search volume.

• 06

  Can I predict the latency of adding a reranker?

  Yes, you can use estimate_latency_impact to predict how much of the user's time budget will be consumed by adding features like reranking or hybrid search.

• 07

  What is the purpose of the optimization capability?

  The get_optimization_recommendations capability provides strategic advice to help you decide whether to cut costs or invest more to improve performance based on your current metrics.

• 

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• 

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