AgroLogをChatGPT、Claude、Geminiに接続

• 01 / 02傾向を分析する方法
• 02 / 02穀物在庫の管理方法

最速日

781ms

最遅日

1214ms

14日間の傾向

改善傾向-7%

AgroLog 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_ZW35XUCzrbqqlw7ytskHuHHgIR9cLmZQME4N0b5W/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 — AgroLog capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "agrolog-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_ZW35XUCzrbqqlw7ytskHuHHgIR9cLmZQME4N0b5W/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？ AgroLog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、送風や換気を行い、遠隔で腐敗を未然に防ぎたい方。

• 02

  穀物エレベーターオペレーター

  複数のビンやサイロにわたる温度、湿度、在庫量を追跡し、広範囲な設備管理を行いたい方。

• 03

  施設管理者

  リアルタイムのセンサーデータと自動制御機能を用いて、穀物貯蔵施設全体を包括的に監督したい方。

• 04

  農業コンサルタント

  データに基づいた貯蔵管理の推奨事項をクライアントに提供し、包括的なアドバイスを行いたい方。

• 01

  Does this MCP handle multiple farms or customer sites?

  Yes. The system includes capabilities to manage devices across multiple customer organizations. You can list and monitor sensors for different farms using the get_customer_devices function.

• 02

  Can I control the aeration systems with this MCP?

  Absolutely. You can use the set_relay_state capability to remotely control fans, aeration systems, and dryers. This lets you automate responses to temperature or moisture alerts.

• 03

  What kind of data can I track over time?

  You can retrieve time-series data for multiple metrics, including temperature, moisture, and CO2. This historical telemetry is essential for trend analysis and reporting.

• 04

  Is this only for temperature and moisture?

  No. It tracks much more. You can also monitor CO2 levels for spoilage detection, track crop volume, and access local weather data for planning.

• 05

  What if I need to know what sensors are available?

  You can use the get_devices capability to list every monitoring device in your system. This gives you the device ID and type, which is necessary before querying specific data.

• 06

  Can my AI check the current temperature and moisture in my grain silo?

  Yes! First use get_devices to find the device ID for your silo sensors. Then use get_temperature and get_moisture with that device ID to get current readings. Temperature above 25°C or moisture above 15% may indicate spoilage risk. For historical trends, use get_device_telemetry with keys=temperature,moisture to see how conditions have changed over time.

• 07

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

  Use the get_co2 capability to check CO2 readings from headspace sensors in your bins. Elevated CO2 levels (above 1500 ppm) indicate biological activity from mold, insects, or grain respiration. often appearing days before temperature changes. Combine with get_alarms to check for any active spoilage alerts. If CO2 is rising, consider turning on aeration using set_relay_state to ventilate the bin and reduce spoilage risk.

• 08

  Can I remotely control my aeration fans based on sensor readings?

  Yes! Use the set_relay_state capability with your device ID, relay name (e.g., "fan", "aeration"), and desired state (true for ON, false for OFF). Before activating, check current conditions with get_temperature and get_moisture, and verify weather conditions with get_weather to ensure outdoor conditions are suitable for aeration. For example, avoid running aeration during high humidity or rain.

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