Curie Measurement ProverをChatGPTとClaudeに接続

• 01 / 02リスクを数値化する
• 02 / 02検証方法を確認する

最速日

704ms

最遅日

1159ms

14日間の傾向

遅延傾向+14%

Curie Measurement Prover 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_CPb0xivIrSLYBuuZ7KzsZrT7gj3fFKipKNBJYSPo/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 — Curie Measurement Prover capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "curie-measurement-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_CPb0xivIrSLYBuuZ7KzsZrT7gj3fFKipKNBJYSPo/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？ Curie Measurement Prover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

  データサイエンティスト

  実験結果の因果関係を厳密に証明し、統計的な妥当性を確保したい場合。

• 02

  オペレーションマネージャー

  プロセスの変更が実際に生産性にどう寄与したかを、曖昧な報告ではなく数値で把握したい場合。

• 03

  品質管理責任者

  変更に伴うリスクを定量化し、予期せぬ欠陥を防ぐための厳格な検証プロセスを構築したい場合。

• 01

  What does this MCP actually do?

  It acts as a logical validator that forces your AI client to use scientific rigor. It checks for proper measurement, variable isolation, cross-domain testing, persistence, and risk quantification.

• 02

  How do I use it with Claude or Cursor?

  Vinkius hosts the MCP for you. You simply connect your client to the Vinkius catalog once, and the capabilities become available to your agent immediately.

• 03

  Can it help me find out why a process failed?

  Yes. By using the isolation pivot, it helps you determine if a failure was caused by a specific variable or if you haven't tested enough variations to be sure.

• 04

  What is a 'Measurement Absent' verdict?

  This happens when an agent uses words like 'faster' or 'better' without providing a baseline, a method, an after-value, and a quantified delta.

• 05

  Does this require manual data entry?

  The agent uses the data you provide in your prompts to run the validation. It is a capability for the agent to process the information you give it.

• 06

  Is this only for performance optimization?

  No. Curie's method applies to any domain requiring empirical validation. process improvement (measure before/after cycle times, isolate each change), vendor evaluation (measure cost/quality/reliability, not 'it seems better'), risk assessment (quantify probability and impact, not 'the risk is minimal'), method selection (benchmark each candidate in isolation), controlled experiments (single variable, controlled conditions). Anywhere you would say 'better' or 'faster' or 'more reliable,' replace the adjective with a number.

• 07

  What if isolation is impractical?

  Sometimes variables are genuinely coupled. changing the supplier requires changing the delivery schedule. The engine does not demand artificial isolation. It demands AWARENESS of what was changed together and WHY isolation was impractical. Document: 'We changed X and Y together because X requires Y. We cannot isolate their effects. We accept that the 67% improvement is from X+Y combined, with Y alone contributing approximately 15% based on a separate controlled test.' Honest documentation of coupled changes is acceptable. Pretending 3 changes are one is not.

• 08

  How does it differ from the Watt Efficiency Prover?

  Watt validates EFFICIENCY ENGINEERING. finding waste, instrumenting baselines, designing feedback loops, isolating bottlenecks, quantifying improvements. It asks 'where is the bottleneck?' Curie validates EMPIRICAL RIGOR. measuring instead of claiming, isolating variables, cross-domain validation, persistence, risk quantification. It asks 'where is the number?' Watt finds WHERE to optimize. Curie proves THAT you optimized. Use Watt to identify bottlenecks. Use Curie to prove your fix actually worked. with numbers, not adjectives.

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