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Vinkius

Sentinel Hub Connector for AI agents.

14 live capabilities

Analyze satellite imagery and earth observation data for GIS and environmental research.

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Why people use Sentinel Hub

Sentinel Hub Satellite Imagery for Precise GIS Analysis

With this Connector, you just describe the area and the goal to your agent. It handles the STAC search, filters for cloud cover, and runs the processing scripts in the cloud. You get a clean, actionable map in seconds instead of a folder full of raw files.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get instant access to processed satellite data without the overhead of managing raw files.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Monitoring Crop Health

    An agricultural advisor asks for an NDVI map of a farm to check for drought stress using `generate_ndvi_evalscript`.

  2. Real-world use case 02

    Wildfire Damage Assessment

    An emergency manager uses `list_band_combinations` to find burn severity indices for a recent fire to assess damage.

  3. Real-world use case 03

    Urban Expansion Tracking

    A planner asks for mean vegetation stats over a city to see how park space is shrinking using `get_statistics`.

Complete set · 14capabilities

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 Capability

    Catalog search

    Search the STAC catalog for imagery using coordinates, date ranges, and specific collection IDs. This helps you find the right scenes quickly.

  2. 02 Capability

    Check sentinel hub status

    Verify your API connection and credentials are working correctly. Use this to troubleshoot your setup.

  3. 03 Capability

    Generate false color evalscript

    Create a script that highlights vegetation in red and urban areas in cyan. This is great for land cover maps.

  4. 04 Capability

    Generate ndvi evalscript

    Get a script to color-code vegetation density from bare soil to dense forest. It makes plant health easy to see.

Capability set02 / 04

05—08

4 capabilities in this set.

Part of 14 available through Sentinel Hub.

  1. 05 Capability

    Generate true color evalscript

    Create a script for natural-looking RGB satellite photos of any location. Use this for standard visual checks.

  2. 06 Capability

    Get catalog collection

    Retrieve detailed information about a specific satellite data collection. This helps you understand what data is available.

  3. 07 Capability

    Get catalog item

    Pull metadata for a specific item found in a catalog search. Use this to check details for a single scene.

  4. 08 Capability

    Get statistics

    Calculate mean, min, and max values over an area using a specific evalscript. This is perfect for time-series analysis.

Capability set03 / 04

09—11

3 capabilities in this set.

Part of 14 available through Sentinel Hub.

  1. 09 Capability

    Get user info

    Check your account profile and available usage quotas. Use this to manage your API limits.

  2. 10 Capability

    List band combinations

    See a list of predefined combinations like NDWI, SWIR, and Burn Severity. This saves you from writing complex scripts.

  3. 11 Capability

    List catalog collections

    Browse all available satellite data types like Landsat and Sentinel missions. This gives you a full view of the catalog.

Capability set04 / 04

12—14

3 capabilities in this set.

Part of 14 available through Sentinel Hub.

  1. 12 Capability

    Process image

    Run an evalscript on a specific area to generate a processed satellite image. This is the core capability for creating custom maps.

  2. 13 Capability

    Search by tile

    Find all scenes for a specific MGRS tile identifier within a date range. This is useful for standard spatial references.

  3. 14 Capability

    Search cloud free

    Filter for satellite scenes that fall below your chosen cloud cover threshold. Use this to ensure you get clear data.

Set up in minutes

One URL. Then ask Sentinel Hub to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Sentinel Hub from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_xyVUwa3x77fWINQTr8feR7dKZks5UVMkLVCjWXd2/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Sentinel Hub, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Sentinel Hub for the conversation.

Where the request belongs

Work Sentinel Hub can move forward.

Built around the request

Environmental scientists, GIS analysts, and urban planners who need to monitor large-scale changes without manual data handling.

01

GIS Analyst

Checking for land use changes or new construction in a specific region using automated search filters.

02

Agricultural Advisor

Monitoring crop health and moisture levels across multiple farms to provide better irrigation advice.

03

Environmental Scientist

Tracking deforestation or water levels over months or years to monitor ecosystem health.

04

Emergency Manager

Assessing wildfire damage or flood extent in real-time to coordinate response efforts.

Bring your own AI

Change the model, client or framework. Keep Sentinel Hub connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
  • Kiro
  • Roo Code
  • Zencoder
  • Goose
  • Void
  • Augment Code
  • Amp
  • Qodo
  • Tabnine
  • Pieces
  • Sourcegraph Cody
  • JetBrains
  • Warp
  • Amazon Q
  • Antigravity
  • BoltAI
  • Raycast
  • Jan
  • LM Studio
  • AnythingLLM
  • Open WebUI
  • Msty
  • Cherry Studio
  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about Sentinel Hub.

The practical details behind the request, access and result.

Can I use Sentinel Hub MCP to monitor crop health?

Yes, you can use it to generate NDVI maps that color-code vegetation density. This helps you see plant health across different fields and regions instantly.

How does Sentinel Hub MCP help with wildfire damage?

It provides access to burn severity indices and SWIR composites. Your agent can use these to identify exactly which areas were impacted by a fire.

Can I find cloud-free images of a specific city?

Yes, the Connector can filter the satellite catalog for scenes that fall below a specific cloud cover percentage, ensuring you get clear images for your analysis.

Does Sentinel Hub MCP support Landsat data?

It supports multiple missions, including Sentinel and Landsat. You can switch between these data collections depending on your specific needs.

Can I get statistics on vegetation density?

Yes, you can calculate mean, min, max, and standard deviation for vegetation indices over any area of interest with temporal aggregation.

Is Sentinel Hub MCP good for urban planning?

It is excellent for urban planning because it allows you to analyze land use changes and monitor urban expansion through multi-temporal statistical analysis.

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.

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.

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.

One connection away

Give your agent a direct line to Sentinel Hub.

Connect Sentinel Hub once. Keep it beside 5,900+ managed Connectors when the next task needs more.

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