Grain WatchをChatGPT、Claude、Geminiに接続

• 01 / 03水分移動の分析方法
• 02 / 03腐敗検知の方法
• 03 / 03センサーの稼働状況を監視する

最速日

704ms

最遅日

1124ms

14日間の傾向

遅延傾向+32%

Grain Watch 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_XN5VkLPw6XMatHSLfQyLUCDpI7Rxx1bplw4Thydj/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 — Grain Watch capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "grain-watch-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_XN5VkLPw6XMatHSLfQyLUCDpI7Rxx1bplw4Thydj/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？ Grain Watch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

  貯蔵中の穀物温度を監視し、ホットスポットを早期に発見して品質を守ります。

• 02

  エレベーター・施設オペレーター

  自動アラートを活用して、数百ものサイロの温度管理を効率化します。

• 03

  施設マネージャー

  リアルタイムのセンサーデータとAIによるリスク予測を用いて、施設全体の管理を行います。

• 04

  農業コンサルタント

  データに基づいた正確な貯蔵管理のアドバイスをクライアントに提供します。

• 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.

• 

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  GrainSure AIコネクタ

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• 

  Wiagro AIコネクタ

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

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