Accelerator Graduation MetricsをAIに接続

• 01 / 03離脱原因の特定方法
• 02 / 03成功率の算出方法
• 03 / 03卒業時期の分布を分析する方法

最速日

650ms

最遅日

1457ms

14日間の傾向

遅延傾向+85%

Accelerator Metrics Service 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_v5RiOHzHplcpbABx1uMTKTedSHZUAJqsedikFb3r/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 — Accelerator Metrics Service capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "accelerator-graduation-metrics-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_v5RiOHzHplcpbABx1uMTKTedSHZUAJqsedikFb3r/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？ Accelerator Metrics Service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

  プログラムマネージャー

  コホートの進捗を追跡し、離脱の根本原因を特定してプログラム改善計画を立てる際に役立ちます。

• 02

  ベンチャーキャピタル (VC)

  投資先のコホートパフォーマンスを評価し、投資判断や支援戦略の根拠とするためのデータ分析に使用できます。

• 03

  データアナリスト

  卒業率、離脱率、期間分布など、複数の指標を統合的に分析し、レポートを作成する際に利用できます。

• 01

  Does this MCP handle data for multiple cohorts?

  Yes. All the capabilities are designed to accept a specific cohort identifier, allowing you to compare performance across different groups or time periods.

• 02

  What kind of data does it provide about attrition?

  It doesn't just say companies left. The analyze_attrition_drivers capability identifies the primary reasons for exit, such as poor selection fit or funding issues, giving you actionable data.

• 03

  Is this better than using a spreadsheet?

  It's faster and more reliable. The MCP handles the complex statistical calculations and distributions instantly, which is difficult to manage manually in a spreadsheet.

• 04

  Can I find the average completion time?

  Yes. The get_completion_time_distribution capability provides both the average and the median completion time, giving you a much clearer picture of the timeline spread.

• 05

  What metrics can I track?

  You can track graduation rates, drop rates, average completion times, and primary drivers of attrition using the available capabilities.

• 06

  How does program intensity affect the data?

  The get_graduation_metrics capability allows you to specify an intensity level, which helps in determining if attrition is within healthy thresholds for that specific rigor.

• 07

  Can I analyze why companies are dropping out?

  Yes, the analyze_attrition_drivers capability provides the primary reason for drops and can correlate these with selection fit scores.

• 

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