Conecte Sentinel Hub ao ChatGPT, Claude e Gemini

• 01 / 03Como analisar a vegetação
• 02 / 03Como avaliar danos de incêndios
• 03 / 03Como consultar metadados

Dia mais rápido

784ms

Dia mais lento

1293ms

Tendência de 14 dias

Desacelerando+6%

Sentinel Hub Connector

Tudo pronto. Escolha seu cliente MCP e siga as instruções de configuração.

Link do conectorhttps://edge.vinkius.com/vk_preview_xyVUwa3x77fWINQTr8feR7dKZks5UVMkLVCjWXd2/mcpCopiar

Claude Desktop

Siga os passos abaixo para conectar em segundos.

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.

Configuração · claude_desktop_config.jsonCopiar

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

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

Instruções passo a passo para cada cliente estão no guia. Como conectar

Configuração guiada para o Claude? Configurar Sentinel Hub no Claude e outras IAs

Veja todos os clientes de IA com quem este connector funciona ↑

• 01

  Profissionais de GIS

  Processam imagens de satélite sob demanda sem precisar baixar terabytes de dados brutos.

• 02

  Cientistas Ambientais

  Calculam índices de vegetação, água e umidade para monitorar ecossistemas.

• 03

  Planejadores Urbanos

  Analisam mudanças no uso do solo através de análises estatísticas multitemporais.

• 04

  Consultores Agrícolas

  Monitoram a saúde das safras usando séries temporais de NDVI e imagens sem nuvens.

• 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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