Verbinden Sie Sentinel Hub mit ChatGPT, Claude und Gemini

• 01 / 03Vegetation analysieren
• 02 / 03Waldbrand-Schäden bewerten
• 03 / 03Metadaten abfragen

Schnellster Tag

784ms

Langsamster Tag

1293ms

14-Tage-Trend

Verlangsamend+6%

Sentinel Hub Connector

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

Connector-Linkhttps://edge.vinkius.com/vk_preview_xyVUwa3x77fWINQTr8feR7dKZks5UVMkLVCjWXd2/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 — Sentinel Hub capabilities are ready to use.

Konfiguration · claude_desktop_config.jsonKopieren

{
  "mcpServers": {
    "sentinel-hub-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_xyVUwa3x77fWINQTr8feR7dKZks5UVMkLVCjWXd2/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? Sentinel Hub in Claude und anderen KI-Tools einrichten

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

• 01

  GIS-Experten

  Verarbeitung von Satellitenbildern auf Abruf, ohne Terabytes an Rohdaten herunterladen zu müssen.

• 02

  Umweltwissenschaftler

  Berechnung von Vegetations-, Wasser- und Feuchtigkeitsindizes zur Überwachung von Ökosystemen.

• 03

  Stadtplaner

  Analyse von Landnutzungsänderungen mittels multitemporaler statistischer Analysen.

• 04

  Agrarberater

  Überwachung der Pflanzengesundheit durch NDVI-Zeitreihen und wolkenfreie Bildauswahl.

• 01

  How do I use this MCP with Claude or Cursor?

  Once you subscribe on Vinkius and provide your Sentinel Hub credentials, you simply connect your client to the Vinkius host. Your AI client will then see the available capabilities automatically.

• 02

  What satellite missions can I access?

  You can access data from Sentinel-1, Sentinel-2, Sentinel-3, Sentinel-5P, Landsat 8-9, and various Copernicus Land Monitoring services.

• 03

  Do I need to write my own JavaScript for image processing?

  No. The MCP includes capabilities to generate ready-to-use evalscripts for common tasks like NDVI, True Color, and False Color imagery.

• 04

  Can I search for images without clouds?

  Yes. The search_cloud_free capability allows you to specify a cloud cover threshold to ensure you get clean optical data.

• 05

  Is it possible to perform statistical analysis over time?

  Yes. The get_statistics capability supports temporal aggregation, allowing you to calculate mean, min, or max values over daily, weekly, or monthly periods.

• 06

  What is an evalscript and how do I use one?

  An evalscript is a small JavaScript program that tells Sentinel Hub how to process satellite bands into an output image. It defines which bands to use, how to combine them, and what colors to assign. You can use the generate_ndvi_evalscript or generate_true_color_evalscript capabilities to get ready-made evalscripts, then pass them to the process_image capability.

• 07

  Can I analyze vegetation health with this server?

  Absolutely. Generate an NDVI evalscript with the generate_ndvi_evalscript capability, then process imagery for your area of interest with the process_image capability. For time-series analysis, use the get_statistics capability with temporal aggregation to track vegetation changes over weeks or months. The search_cloud_free capability helps you find clean scenes without cloud contamination.

• 08

  What is the difference between this server and the Copernicus Data Space server?

  The Copernicus Data Space server focuses on product catalogue search and download. finding and retrieving raw satellite data files. Sentinel Hub focuses on on-the-fly processing. rendering images, computing indices, and generating statistics without downloading raw data. They complement each other: use Copernicus for data discovery and bulk download, Sentinel Hub for real-time analysis and visualization.

• 

  Maxar (Satellite Imagery) KI-Connector

  Access high-resolution satellite imagery and geospatial data from Maxar — search discovery catalogs, order dat

  Ansehen
• 

  Copernicus Data Space KI-Connector

  Access satellite imagery and Earth observation datasets from the EU Copernicus program for environmental and g

  Ansehen
• 

  INPE (STAC API - Satélites) KI-Connector

  Access Brazil's National Institute for Space Research (INPE) satellite data via STAC API — search collections,

  Ansehen
• 

  NASA Earth — Full-Disk Imagery & Natural Events KI-Connector

  View Earth from 1.5 million km away through DSCOVR's EPIC camera (full-disk images in natural and enhanced col

  Ansehen

Vorschläge

• 

  Earth Imagery KI-Connector

  Images of Earth from NASA's EPIC camera aboard DSCOVR — the freshest frames, the archive by date, and the scan

  Ansehen
• 

  GOES Satellite Imagery KI-Connector

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

  Ansehen
• 

  Planet Labs KI-Connector

  Access daily satellite imagery via Planet Labs — search PSScene, SkySat, and RapidEye imagery, filter by cloud

  Ansehen
• 

  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