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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Sentinel Hub with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Access and process satellite imagery from Sentinel, Landsat, and other Earth observation missions through a powerful cloud API.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 14 capabilities

The complete Sentinel Hub capability set.

These are the exact actions your AI can choose when you ask it to work with Sentinel Hub.

Capability set01 / 04

01-04

4 capabilities in this set.

Part of 14 available through Sentinel Hub.

  1. 01

    Check sentinel hub status

    Returns the connection status and service URL. Use this to verify your client_id:client_secret credentials are working correctly. Verify Sentinel Hub API connectivity and authentication

  2. 02

    Generate false color evalscript

    In the output, healthy vegetation appears bright red, urban areas appear cyan/grey, and water appears dark blue. This is the standard false-color composite used in remote sensing for vegetation mapping and land cover classification. Generate a false-color evalscript for vegetation emphasis

  3. 03

    Generate ndvi evalscript

    The output is color-coded: dark for water/shadow, grey for bare soil, yellow-green for sparse vegetation, and deep green for dense vegetation. Use the returned evalscript with the process_image capability. Generate a ready-to-use NDVI evalscript for vegetation analysis

  4. 04

    Generate true color evalscript

    Use the returned evalscript with the process_image capability to get visually appealing satellite photos of any location on Earth. Generate a true-color RGB evalscript for natural imagery

Capability set02 / 04

05-08

4 capabilities in this set.

Part of 14 available through Sentinel Hub.

  1. 05

    Get user info

    Useful for verifying credentials and understanding available quotas. Get authenticated Sentinel Hub user profile information

  2. 06

    List band combinations

    Includes True Color, False Color (vegetation), NDVI, NDWI, Moisture Index, SWIR, SAR polarizations, Scene Classification, and Burn Severity (NBR). Each entry specifies the required bands and target collection. List predefined satellite band combinations and indices

  3. 07

    Search by tile

    MGRS tiles are the standard spatial reference for Sentinel-2 data (e.g., "33UUP" for central Europe, "29SQB" for Lisbon area). Returns all scenes for the specified tile within the date range. Search Sentinel-2 imagery by MGRS tile identifier

  4. 08

    Catalog search

    Specify a collection ID (e.g., "sentinel-2-l2a", "sentinel-1-grd"), a bounding box as [west, south, east, north] coordinates, and a date range. Returns item metadata including geometry, cloud cover, and band information. Search the Sentinel Hub STAC catalog for satellite imagery

Capability set03 / 04

09-11

3 capabilities in this set.

Part of 14 available through Sentinel Hub.

  1. 09

    Get catalog collection

    Get detailed information about a specific data collection

  2. 10

    Get catalog item

    Use the item ID returned from a catalog_search query. Get detailed metadata for a specific STAC catalog item

  3. 11

    Get statistics

    Requires an evalscript that defines which bands to analyze. Supports temporal aggregation (daily, weekly, monthly) for time-series analysis of vegetation indices, water levels, or urban expansion. Calculate statistics over an area from satellite imagery

Capability set04 / 04

12-14

3 capabilities in this set.

Part of 14 available through Sentinel Hub.

  1. 12

    List catalog collections

    Includes Sentinel-1 GRD (radar), Sentinel-2 L1C/L2A (optical), Sentinel-3 OLCI/SLSTR, Sentinel-5P (atmosphere), Landsat 8-9, DEM, and Copernicus Land Monitoring Service data. List all available Sentinel Hub satellite data collections

  2. 13

    Process image

    Specify the data collection, area of interest as a bounding box, date range, and the evalscript. The evalscript defines band inputs, processing logic, and output format. Use generate_ndvi_evalscript or generate_true_color_evalscript capabilities to get ready-made evalscripts. Process satellite imagery with a custom evalscript

  3. 14

    Search cloud free

    Essential for optical analysis where cloud contamination would corrupt results. Typical thresholds: <10% for clean analysis, <30% for general use, <50% for temporal coverage. Search for cloud-free satellite imagery below a threshold

Observed, not estimated

938ms average. Fast in production.

Sentinel Hub is checked daily against the live service.

Daily averagePeak 1111ms
Aug 20Today
Fastest day
810ms
Slowest day
1111ms
14-day trend
Slowing+9%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 14 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Sentinel Hub, so you can see the experience inside your AI.

It does not authenticate your account with Sentinel Hub. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Sentinel Hub Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_xyVUwa3x77fWINQTr8feR7dKZks5UVMkLVCjWXd2/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  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.jsonCopy
{
  "mcpServers": {
    "sentinel-hub-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_xyVUwa3x77fWINQTr8feR7dKZks5UVMkLVCjWXd2/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Sentinel Hub owners ask.

  • 01

    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.

  • 02

    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.

  • 03

    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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