Feature Flag Rollout CalculatorをAIに接続

最速日

561ms

最遅日

803ms

14日間の傾向

改善傾向-10%

Feature Flag Rollout Calculator 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_lSCWqvwFeIxZT5aRq7pxIFPfRB4jVj5nQX8h1rfL/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 — Feature Flag Rollout Calculator capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "feature-flag-rollout-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_lSCWqvwFeIxZT5aRq7pxIFPfRB4jVj5nQX8h1rfL/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？ Feature Flag Rollout Calculator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

  DevOpsエンジニア

  安全なデプロイメント計画の策定や、ロールアウトによる影響範囲の予測に活用できます。

• 02

  データサイエンティスト

  実験の妥当性を確保するためのサンプルサイズ算出や、統計的な閾値の設定に使用できます。

• 03

  バックエンドエンジニア

  一貫したハッシュ計算を用いたユーザーの割り当て確認や、フラグの重複管理に役立ちます。

• 01

  How does this MCP handle user assignments?

  It uses consistent hashing to ensure that user assignments are deterministic and predictable based on the rollout percentage.

• 02

  Can I use this with Claude or Cursor?

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

• 03

  What is the purpose of the statistical threshold capability?

  It calculates the number of users required in a treatment group to detect a specific metric regression with statistical confidence.

• 04

  Does this help with feature flag collisions?

  Yes, the analyze_cohort_overlap capability estimates the intersection of different feature flag populations to help you understand potential overlaps.

• 05

  Do I need to host this myself?

  No, Vinkius hosts and manages the MCP for you, so it is ready to use as soon as you connect your client.

• 06

  How does the user assignment work?

  The get_user_assignment capability uses consistent hashing of the User ID and Feature Key to ensure that a user's assignment remains deterministic at any given rollout percentage.

• 07

  Can I use this for A/B testing?

  Yes. You can use calculate_statistical_thresholds to determine the necessary sample size to detect a specific Minimum Detectable Effect (MDE) with your desired confidence level.

• 08

  How do I estimate the impact of a multi-stage rollout?

  Use project_rollout_impact by providing your total population size and a schedule of percentages to see both active and incremental user counts at each stage.

• 

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• 

  Flagsmith AIコネクタ

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  Thermodynamics Statistical Calculations AIコネクタ

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  Flipt AIコネクタ

  Manage feature flags and rollouts via Flipt — list namespaces, flags, segments, and rules directly from your A

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