Verbinden Sie Grain Watch mit ChatGPT, Claude und Gemini

• 01 / 03Feuchtigkeitsverlauf analysieren
• 02 / 03Verderb erkennen
• 03 / 03Sensorstatus überwachen

Schnellster Tag

704ms

Langsamster Tag

1124ms

14-Tage-Trend

Verlangsamend+32%

Grain Watch Connector

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

Connector-Linkhttps://edge.vinkius.com/vk_preview_XN5VkLPw6XMatHSLfQyLUCDpI7Rxx1bplw4Thydj/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 — Grain Watch capabilities are ready to use.

Konfiguration · claude_desktop_config.jsonKopieren

{
  "mcpServers": {
    "grain-watch-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_XN5VkLPw6XMatHSLfQyLUCDpI7Rxx1bplw4Thydj/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? Grain Watch in Claude und anderen KI-Tools einrichten

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

• 01

  Getreidebauern

  Überwachen die Temperatur der gelagerten Ernte und erkennen Hot Spots frühzeitig.

• 02

  Betreiber von Getreidesilos

  Verwalten die Temperatur in hunderten von Silos mithilfe automatisierter Warnmeldungen.

• 03

  Anlagenmanager

  Steuern Lagerstätten durch Echtzeit-Sensordaten und KI-gestützte Risikobewertungen.

• 04

  Agrarberater

  Erstellen datengestützte Empfehlungen für das Lagermanagement ihrer Kunden.

• 01

  How do I connect my Grain Watch data?

  You subscribe to the MCP on Vinkius and enter your Grain Watch API key and base URL. Once connected, your AI client can immediately start querying your silo data.

• 02

  Which AI clients can I use with this MCP?

  This MCP works with any compatible client, including Claude, Cursor, and Windsurf.

• 03

  Can the AI tell me if my grain is at risk of spoiling?

  Yes. The agent uses the spoilage risk capability to assess risk levels based on temperature, humidity, and grain type.

• 04

  Does this MCP support multiple silos?

  Yes. You can manage and monitor all silos in your facility through a single interface.

• 05

  How does the AI detect hot spots?

  The agent monitors temperature readings from various sensor zones and identifies significant temperature differentials that indicate a hot spot.

• 06

  Can my AI detect hot spots developing in my grain silos before spoilage occurs?

  Yes! Use the get_hotspot_alerts capability to check for active hot spot detections across your silos. Hot spots are localized temperature increases that indicate early biological activity (mold, insects, or grain respiration) before visible spoilage. For trend analysis, use get_temperature_history to see how temperatures have been changing over the past days or weeks. Early hot spot detection gives you critical time to activate aeration and prevent grain loss.

• 07

  How do I get the AI spoilage risk assessment for my silos?

  Use the get_spoilage_risk capability with your silo ID. Grain Watch AI analyzes temperature trends, humidity patterns, and grain type to provide a risk level (low, moderate, high, critical), contributing factors, predicted days until spoilage if conditions persist, and recommended preventive actions. This combines multiple data sources into a single actionable assessment. For a facility-wide view, use get_facility_overview to see overall risk across all silos.

• 08

  Can I check the health of my temperature sensors to ensure reliable monitoring?

  Yes! Use the get_sensor_health capability with your silo ID to check the status of all temperature and humidity sensors. This shows which sensors are active, offline, or faulted, along with last communication times and battery levels for wireless sensors. You can also use get_sensor_map to see the physical layout of all sensors in a silo, helping you understand which zones each sensor monitors.

• 

  Centaur Analytics KI-Connector

  Access AI-powered grain monitoring via Centaur — track CO2, moisture, temperature, predict spoilage, and forec

  Ansehen
• 

  GrainSure KI-Connector

  Access silo monitoring via GrainSure — track grain fill levels, usage rates, predicted days to empty, and mana

  Ansehen
• 

  AgroLog KI-Connector

  Access grain monitoring data via AgroLog — monitor temperature, moisture, CO2, crop levels, weather, and contr

  Ansehen
• 

  Wiagro KI-Connector

  Access smart silobag monitoring via Wiagro — track temperature, humidity, CO2, rupture detection, and grain qu

  Ansehen

Vorschläge

• 

  Wine Shipment Temperature Monitoring KI-Connector

  Calculate thermal risk, monitoring frequency, and data logger requirements for wine shipments.

  Ansehen
• 

  Rye Ergot Risk Predictor KI-Connector

  Predicts ergot contamination risk and economic impact in rye production.

  Ansehen
• 

  Aircraft Maintenance Due Tracker KI-Connector

  Monitors aircraft maintenance deadlines using flight hours, cycles, and calendar limits.

  Ansehen
• 

  Component Life Limit Tracker KI-Connector

  Monitor aircraft component life limits, remaining usage, and projected maintenance due dates.

  Ansehen