Verbinden Sie Agro mit ChatGPT, Claude und Gemini

• 01 / 01Feldarbeit planen

Schnellster Tag

836ms

Langsamster Tag

1281ms

14-Tage-Trend

Verbessernd-8%

AgroMonitoring Connector

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

Connector-Linkhttps://edge.vinkius.com/vk_preview_Cke6yFspqmSysQC3GltzC663AYTMlYX4QDMubjFx/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 — AgroMonitoring capabilities are ready to use.

Konfiguration · claude_desktop_config.jsonKopieren

{
  "mcpServers": {
    "agro-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Cke6yFspqmSysQC3GltzC663AYTMlYX4QDMubjFx/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? AgroMonitoring in Claude und anderen KI-Tools einrichten

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

• 01

  Agronomen & Landwirte

  Überwachen Sie die gesamte Erntegesundheit und den Bodenzustand über große Flächen hinweg, ohne manuelle Dateneingabe.

• 02

  Datenwissenschaftler

  Ziehen Sie schnell historische Wetter- und Satellitenindizes ab, um komplexe Modelle für die landwirtschaftliche Vorhersage zu erstellen.

• 03

  AgTech Entwickler

  Integrieren Sie Umweltdaten auf Feldebene nahtlos in Ihren Entwicklungsworkflow, gesteuert durch natürliche Sprache.

• 01

  Does this MCP handle multiple fields?

  Yes. You can list and manage multiple polygons, each representing a different field or area of interest on your property.

• 02

  What kind of data can I get about crop health?

  You can retrieve NDVI and EVI historical data, which tracks vegetation vigor over time. You can also search for high-resolution satellite imagery for visual confirmation.

• 03

  Is the weather data current or historical?

  The MCP provides all three: get_current_weather for immediate conditions, get_forecast_weather for predictions, and get_historical_weather for seasonal analysis.

• 04

  Do I need to know coordinates to use the MCP?

  While some capabilities require coordinates, you can also define and manage areas using polygons, which simplifies targeting specific zones.

• 05

  What is the difference between NDVI and EVI?

  NDVI and EVI are both indices used to measure vegetation density and health. The MCP provides historical data for both metrics, helping you track changes in plant life.

• 06

  How do I define a new field for monitoring?

  Use the create_polygon capability. You need to provide a name and the area's geometry in GeoJSON format (coordinates). This polygon ID will then be used for satellite and soil queries.

• 07

  Can I check the historical health of my crops?

  Yes! Use the get_ndvi_history capability with your Polygon ID and a time range. It returns NDVI and EVI data, which are key indicators of vegetation vigor and growth.

• 08

  What kind of soil data can I retrieve?

  You can use get_current_soil or get_historical_soil to get moisture levels and surface temperature for a specific polygon, helping you optimize irrigation schedules.

• 

  EOSDA Agriculture Satellite Data KI-Connector

  Precision agriculture satellite intelligence — access NDVI, soil moisture, and crop health via AI.

  Ansehen
• 

  Ambee Soil KI-Connector

  Access real-time soil data via Ambee — monitor soil moisture, temperature, and properties globally for precisi

  Ansehen
• 

  OpenWeather Agro KI-Connector

  Access agricultural weather and satellite data via OpenWeather — monitor NDVI, soil temperature, evapotranspir

  Ansehen
• 

  Farmonaut KI-Connector

  Access satellite agriculture data via Farmonaut — monitor crop health with NDVI, weather, soil moisture, crop

  Ansehen

Vorschläge

• 

  Data Pipeline Prover KI-Connector

  A data team asked an AI to build an ETL pipeline. No schema contract. No idempotency. No freshness SLA. The pi

  Ansehen
• 

  EOSDA KI-Connector

  Access satellite agriculture data via EOSDA — monitor crop health, vegetation indices, weather, soil moisture,

  Ansehen
• 

  Geopard Agriculture KI-Connector

  Universal precision agriculture intelligence — monitor fields, crop health, and NDVI via AI.

  Ansehen
• 

  GOES Satellite Imagery KI-Connector

  Live imagery URLs from NOAA's GOES satellites — full disk, continental US and mesoscale regions, with capture

  Ansehen