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Sentinel Hub MCP Server for ClineGive Cline instant access to 14 tools to Catalog Search, Check Sentinel Hub Status, Generate False Color Evalscript, and more

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Cline is an autonomous AI coding agent inside VS Code that plans, executes, and iterates on tasks. Wire Sentinel Hub through Vinkius and Cline gains direct access to every tool. from data retrieval to workflow automation. without leaving the terminal.

Ask AI about this App Connector for Cline

The Sentinel Hub app connector for Cline is a standout in the Cloud Infrastructure category — giving your AI agent 14 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Sentinel Hub and 3,400+ MCP Servers from a single visual interface.

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Classic Setup·json
{
  "mcpServers": {
    "sentinel-hub": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
Sentinel Hub
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IAMAccess control
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DLPData protection
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<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Sentinel Hub MCP Server

Connect to Sentinel Hub — the most powerful satellite imagery processing API in Europe — and transform raw Earth observation data into actionable intelligence.

Cline operates autonomously inside VS Code. it reads your codebase, plans a strategy, and executes multi-step tasks including Sentinel Hub tool calls without waiting for prompts between steps. Connect 14 tools through Vinkius and Cline can fetch data, generate code, and commit changes in a single autonomous run.

What you can do

  • STAC Catalog Search — Discover available satellite scenes by location, date, collection, cloud cover, and MGRS tile ID across all Sentinel missions and Landsat
  • Image Processing — Render custom satellite imagery using evalscripts (JavaScript-based processing scripts) that define how bands are combined, indices are calculated, and pixels are colored
  • Vegetation Analysis (NDVI) — Generate ready-to-use NDVI evalscripts that color-code vegetation density from bare soil to dense forest
  • Statistical Analysis — Calculate mean, min, max, standard deviation, and histograms over areas of interest with temporal aggregation (daily, weekly, monthly)
  • Cloud-Free Search — Find satellite scenes below a specified cloud cover threshold for clean optical analysis
  • Band Combinations — Access a curated library of 10 predefined band combinations including True Color, False Color, NDWI, Moisture Index, SWIR, and Burn Severity

The Sentinel Hub MCP Server exposes 14 tools through the Vinkius. Connect it to Cline in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 14 Sentinel Hub tools available for Cline

When Cline connects to Sentinel Hub through Vinkius, your AI agent gets direct access to every tool listed below — spanning satellite-imagery, earth-observation, geospatial-data, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

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

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

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

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 tool. Generate a ready-to-use NDVI evalscript for vegetation analysis

generate_true_color_evalscript

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

get_catalog_collection

Get detailed information about a specific data collection

get_catalog_item

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

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

get_user_info

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

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

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

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 tools to get ready-made evalscripts. Process satellite imagery with a custom evalscript

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

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

Connect Sentinel Hub to Cline via MCP

Follow these steps to wire Sentinel Hub into Cline. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Open Cline MCP Settings

Click the MCP Servers icon in the Cline sidebar panel
02

Add remote server

Click "Add MCP Server" and paste the configuration above
03

Enable the server

Toggle the server switch to ON
04

Start using Sentinel Hub

Ask Cline: "Using Sentinel Hub, help me...". 14 tools available

Why Use Cline with the Sentinel Hub MCP Server

Cline provides unique advantages when paired with Sentinel Hub through the Model Context Protocol.

01

Cline operates autonomously. it reads your codebase, plans a strategy, and executes multi-step tasks including MCP tool calls without step-by-step prompts

02

Runs inside VS Code, so you get MCP tool access alongside your existing extensions, terminal, and version control in a single window

03

Cline can create, edit, and delete files based on MCP tool responses, enabling end-to-end automation from data retrieval to code generation

04

Transparent execution: every tool call and file change is shown in Cline's activity log for full visibility and approval before committing

Sentinel Hub + Cline Use Cases

Practical scenarios where Cline combined with the Sentinel Hub MCP Server delivers measurable value.

01

Autonomous feature building: tell Cline to fetch data from Sentinel Hub and scaffold a complete module with types, handlers, and tests

02

Codebase refactoring: use Sentinel Hub tools to validate live data while Cline restructures your code to match updated schemas

03

Automated testing: Cline fetches real responses from Sentinel Hub and generates snapshot tests or mocks based on actual payloads

04

Incident response: query Sentinel Hub for real-time status and let Cline generate hotfix patches based on the findings

Example Prompts for Sentinel Hub in Cline

Ready-to-use prompts you can give your Cline agent to start working with Sentinel Hub immediately.

01

"Show me an NDVI vegetation analysis for the Amazon rainforest region."

02

"Find cloud-free Sentinel-2 imagery over Paris with less than 10% clouds."

03

"What band combinations can I use for wildfire assessment?"

Troubleshooting Sentinel Hub MCP Server with Cline

Common issues when connecting Sentinel Hub to Cline through the Vinkius, and how to resolve them.

01

Server shows error in sidebar

Click the server name to see logs. Verify the URL and token are correct.

Sentinel Hub + Cline FAQ

Common questions about integrating Sentinel Hub MCP Server with Cline.

01

How does Cline connect to MCP servers?

Cline reads MCP server configurations from its settings panel in VS Code. Add the server URL and Cline discovers all available tools on initialization.
02

Can Cline run MCP tools without approval?

By default, Cline asks for confirmation before executing tool calls. You can configure auto-approval rules for trusted servers in the settings.
03

Does Cline support multiple MCP servers at once?

Yes. Configure as many servers as needed. Cline can use tools from different servers within the same autonomous task execution.