Mining Project Risk AnalysisをAIに接続

最速日

707ms

最遅日

1019ms

14日間の傾向

改善傾向-7%

Mining Risk Analysis 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_VlIrOPUWXdaE16SuH555kaTezIgYK3j8h1bIXIuH/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 — Mining Risk Analysis capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "mining-project-risk-analysis-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_VlIrOPUWXdaE16SuH555kaTezIgYK3j8h1bIXIuH/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？ Mining Risk Analysis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

  鉱山開発アナリスト

  プロジェクトの収益性と不確実性を定量的に評価する担当者。

• 02

  財務リスクマネージャー

  NPVの変動や損失確率に基づき、投資判断を行う責任者。

• 03

  資源開発エンジニア

  品位やコストなどの技術的パラメータが財務に与える影響を分析する専門家。

• 01

  What is the purpose of this MCP?

  This MCP allows your AI client to perform Monte Carlo simulations specifically for mining project risk and NPV analysis.

• 02

  How does it help with NPV uncertainty?

  It uses probabilistic modeling to create a distribution of NPV outcomes, providing P10, P50, and P90 confidence levels.

• 03

  Can I check my correlation assumptions?

  Yes, the validate_correlation_matrix capability checks if your proposed correlations are mathematically consistent.

• 04

  Which AI clients can use this?

  You can use this with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

• 05

  How do I find the biggest project risks?

  You can use the calculate_sensitivity_index capability to see which input variables have the most impact on NPV variance.

• 06

  What is a Monte Carlo simulation in this context?

  It is a technique that repeatedly samples values from probability distributions for uncertain input parameters to generate a range of possible NPV outcomes.

• 07

  How do I know which parameters impact my project most?

  You can use the calculate_sensitivity_index capability to identify which input variables have the greatest impact on the variance of the NPV.

• 08

  Can I model dependencies between variables?

  Yes, you can provide correlations between parameters. Use validate_correlation_matrix first to ensure your proposed correlations are mathematically valid.

• 

  Mining Project NPV Analysis AIコネクタ

  Financial feasibility analysis for mining projects using DCF modeling.

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  Sensitivity Analysis for Mining AIコネクタ

  Evaluate NPV fluctuations and project risks through parameter sensitivity analysis.

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  Venture Risk-Adjusted Return Engine AIコネクタ

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• 

  AI Feature Flag Cost & Risk Modeler AIコネクタ

  Calculate infrastructure costs, deployment velocity, and risk mitigation for AI feature flags.

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