Connectez Sentinel Hub à ChatGPT, Claude et Gemini

• 01 / 03Analyser la végétation
• 02 / 03Évaluer les dégâts de feux de forêt
• 03 / 03Interroger les métadonnées

Jour le plus rapide

784ms

Jour le plus lent

1293ms

Tendance sur 14 jours

En ralentissement+6%

Sentinel Hub Connector

Tout est prêt. Choisissez votre client MCP et suivez les instructions de configuration.

Lien du connecteurhttps://edge.vinkius.com/vk_preview_xyVUwa3x77fWINQTr8feR7dKZks5UVMkLVCjWXd2/mcpCopier

Claude Desktop

Suivez les étapes ci-dessous pour vous connecter en quelques secondes.

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.

Configuration · claude_desktop_config.jsonCopier

{
  "mcpServers": {
    "sentinel-hub-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_xyVUwa3x77fWINQTr8feR7dKZks5UVMkLVCjWXd2/mcp"
    }
  }
}

• Claude
• ChatGPT
• Cursor
• VS Code
• Windsurf
• Claude Code
• JetBrains
• Cline

Les instructions pas à pas pour chaque client sont dans le guide. Comment connecter

Configuration guidée pour Claude ? Configurer Sentinel Hub avec Claude et les autres IA

Voyez tous les clients IA avec lesquels ce connector fonctionne ↑

• 01

  Professionnels du SIG

  Pour traiter des images satellites à la demande sans stockage local massif.

• 02

  Chercheurs en environnement

  Pour calculer des indices de végétation, d'eau et d'humidité pour le suivi des écosystèmes.

• 03

  Urbanistes

  Pour analyser l'évolution de l'occupation des sols via des analyses statistiques multi-temporelles.

• 04

  Conseillers agricoles

  Pour surveiller la santé des cultures grâce aux séries temporelles NDVI.

• 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.

• 

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