Centaur AnalyticsをChatGPT、Claude、Geminiに接続

• 01 / 03穀物の品質レポートを生成する方法
• 02 / 03穀物貯蔵の稼働状況を監視する
• 03 / 03穀物の腐敗予測について

最速日

692ms

最遅日

1084ms

14日間の傾向

改善傾向-6%

Centaur Analytics 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_JAUlTOok6viAadhbZwv9ZjIVKtoBneQMgOzJf2Ty/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 — Centaur Analytics capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "centaur-analytics-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_JAUlTOok6viAadhbZwv9ZjIVKtoBneQMgOzJf2Ty/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？ Centaur Analytics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

  穀物農家

  貯蔵中の穀物状態を監視し、腐敗を予測して最適な販売時期を判断します。

• 02

  穀物エレベーター・施設管理者

  AIによる洞察を用いて、数百ものサイロの品質を一括管理します。

• 03

  商品トレーダー

  穀物の品質を評価し、取引判断のための価値変動予測に活用します。

• 04

  Commodity Traders

  Leverage quality forecasts to predict value changes and make better trading decisions.

• 01

  How do I connect my Centaur data to Claude?

  Once you subscribe to the MCP on Vinkius, you simply enter your Centaur API credentials. After that, you can use the MCP directly within Claude or any other compatible client.

• 02

  Can the AI predict when my grain will spoil?

  Yes. The MCP includes a capability that uses machine learning to provide spoilage risk levels and estimated days until spoilage onset.

• 03

  What kind of sensors does this MCP work with?

  This MCP works with Centaur's wireless sensor network that measures CO2, moisture, and temperature throughout the grain mass.

• 04

  Does this replace my existing Centaur dashboard?

  It doesn't replace it, but it changes how you interact with it. Instead of clicking through menus, you can use natural language to get specific data or reports.

• 05

  Can I get reports for insurance purposes?

  Yes. You can ask your agent to generate a comprehensive quality report for a specific bin, which includes moisture stability and temperature uniformity.

• 06

  Can my AI predict when grain spoilage will start in my storage bin?

  Yes! Use the get_spoilage_predictions capability with your bin ID. Centaur AI analyzes CO2 trends, moisture patterns, and temperature data to predict spoilage risk (low, moderate, high, critical) and estimated days until spoilage onset. For deeper analysis, combine with get_co2_history to see the CO2 trend that drives the prediction. CO2 is the earliest spoilage indicator, often rising days before temperature changes become apparent.

• 07

  How do I monitor CO2 levels to detect early signs of grain spoilage?

  Use get_current_readings for real-time CO2 levels across all sensor positions in a bin, then use get_co2_history with a 30-day lookback to identify trends. CO2 levels above 1500 ppm indicate biological activity, and rising trends signal developing spoilage. Set up get_alerts to receive automatic warnings when CO2 exceeds safe thresholds. Early CO2 detection gives you 7-14 days more lead time than temperature-based monitoring alone.

• 08

  Can I get an AI-generated quality report for a specific bin to share with buyers?

  Yes! Use the get_quality_report capability with your bin ID to generate a comprehensive AI-powered quality report. This combines current sensor readings, historical trends, spoilage predictions, and quality forecasts into a single professional report including test weight estimates, moisture stability analysis, temperature uniformity, and mycotoxin risk evaluation. Perfect for buyer communications, insurance documentation, and quality certification.

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