Verbinden Sie Centaur Analytics mit ChatGPT und Claude

• 01 / 03Getreide-Qualitätsberichte erstellen
• 02 / 03Getriebezustand der Lager überwachen
• 03 / 03Kornverderb vorhersagen

Schnellster Tag

692ms

Langsamster Tag

1084ms

14-Tage-Trend

Verbessernd-6%

Centaur Analytics Connector

Alles bereit. Wählen Sie Ihren MCP-Client und folgen Sie den Einrichtungsschritten.

Connector-Linkhttps://edge.vinkius.com/vk_preview_JAUlTOok6viAadhbZwv9ZjIVKtoBneQMgOzJf2Ty/mcpKopieren

Claude Desktop

Folgen Sie den Schritten unten, um sich in Sekunden zu verbinden.

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.

Konfiguration · claude_desktop_config.jsonKopieren

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

• Claude
• ChatGPT
• Cursor
• VS Code
• Windsurf
• Claude Code
• JetBrains
• Cline

Schritt-für-Schritt-Anleitungen für jeden Client finden Sie im Guide. Verbinden

Geführte Einrichtung für Claude? Centaur Analytics in Claude und anderen KI-Tools einrichten

Alle KI-Clients ansehen, mit denen dieser Connector funktioniert ↑

• 01

  Landwirte

  Überwachung der Lagerbedingungen und Vorhersage von Verderb zur Optimierung der Vermarktung.

• 02

  Betreiber von Getreidesilos

  Management der Qualität über hunderte von Behältern hinweg durch KI-gestützte Erkenntnisse.

• 03

  Anlagenmanager

  Überwachung der Lagerkapazitäten mit Echtzeit-Sensordaten und prädiktiven Warnmeldungen.

• 04

  Rohstoffhändler

  Bewertung der Getreidequalität zur fundierten Entscheidung bei Handelsgeschäften.

• 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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  Grain Watch KI-Connector

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  Ansehen

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