EOSDAをChatGPT、Claude、Geminiに接続

• 01 / 01ゾーニングマップの作成方法

最速日

829ms

最遅日

1040ms

14日間の傾向

遅延傾向+14%

EOSDA 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_W1riYytnYABpHWpaWtxCVS18WzgQkjJnAYcVAx7d/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 — EOSDA capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "eosda-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_W1riYytnYABpHWpaWtxCVS18WzgQkjJnAYcVAx7d/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？ EOSDA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

  農場マネージャー

  全圃場の作物の健康状態を監視し、灌漑計画や資材投入の最適化を行います。

• 02

  農学者（アグロノミスト）

  植生指数の分析、成長段階の追跡、作物のストレスの早期発見を行います。

• 03

  農業コンサルタント

  ゾーニングマップの作成や圃場の生産性評価を行い、精密農業のアドバイスを提供します。

• 01

  How do I get my EOSDA API key?

  You can find your API key in the My Account section of the EOSDA website under the API tab.

• 02

  Which AI clients can I use with this MCP?

  You can use this with any MCP-compatible client, including Claude, Cursor, and Windsurf.

• 03

  Can I add new fields to the system?

  Yes, you can use the create_field capability to register new boundaries using GeoJSON or coordinates.

• 04

  What kind of satellite data is available?

  The MCP provides access to imagery from Sentinel-2, Landsat 8/9, MODIS, NAIP, and CBERS-4.

• 05

  Does this include weather forecasts?

  Yes, it provides weather forecasts ranging from 15 days to 7 months for agricultural planning.

• 06

  Can my AI calculate NDVI for my corn field and show me the vegetation health trend over the growing season?

  Yes! Use the get_ndvi_timeseries capability with your field ID and the growing season date range (e.g., date_from=2025-04-01, date_to=2025-10-31). This returns NDVI values for each satellite overpass, showing vegetation health progression from planting through harvest. You can also use get_vegetation_index with index=NDVI for point-in-time analysis, or render_index_map to generate a visual color-coded NDVI map of your field.

• 07

  How do I get weather forecasts and soil moisture data to plan irrigation for my fields?

  Use get_weather_forecast with your field ID and forecast_range=15_days or 1_month to get upcoming precipitation and temperature forecasts. Combine this with get_soil_moisture to check current soil moisture levels at root zone depth. Together these capabilities help you determine if and when irrigation is needed. For historical context, use get_weather_data with past dates to understand rainfall patterns and evapotranspiration trends.

• 08

  Can I generate a zoning map to identify low and high productivity areas within my field?

  Yes! Use the get_zoning_map capability with your field ID. You can specify the vegetation index (NDVI is most common), number of zones (3-5 recommended), and date for analysis. The API returns zone boundaries, average index values per zone, area percentages, and management recommendations. This is essential for variable rate application (VRA), precision fertilization, and targeted irrigation planning.

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