Sentinel Hub MCP Server for Claude DesktopGive Claude Desktop instant access to 14 tools to Catalog Search, Check Sentinel Hub Status, Generate False Color Evalscript, and more
Claude Desktop is Anthropic's native application for interacting with Claude AI models on macOS and Windows. It was the first consumer application to ship with built-in MCP support, making it the reference implementation for the Model Context Protocol standard.
Ask AI about this App Connector for Claude Desktop
The Sentinel Hub app connector for Claude Desktop 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
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.
{
"mcpServers": {
"sentinel-hub": {
// Your Vinkius token. get it at cloud.vinkius.com
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
Claude Desktop is the definitive way to connect Sentinel Hub to your AI workflow. Add Vinkius Edge URL to your config, restart the app, and Claude immediately exposes all 14 tools in the chat interface. ask a question, Claude calls the right tool, and you see the answer. Zero code, zero context switching.
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 Claude Desktop 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 Claude Desktop
When Claude Desktop 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.
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
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
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
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
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 detailed information about a specific data collection
Use the item ID returned from a catalog_search query. Get detailed metadata for a specific STAC catalog item
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
Useful for verifying credentials and understanding available quotas. Get authenticated Sentinel Hub user profile information
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
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
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
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
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 Claude Desktop via MCP
Follow these steps to wire Sentinel Hub into Claude Desktop. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Open Claude Desktop Settings
claude_desktop_config.jsonAdd the MCP Server
mcpServers sectionRestart Claude Desktop
Start using Sentinel Hub
Why Use Claude Desktop with the Sentinel Hub MCP Server
Claude Desktop by Anthropic provides unique advantages when paired with Sentinel Hub through the Model Context Protocol.
Claude Desktop is the reference MCP client. it was designed alongside the protocol itself, ensuring the most complete and stable MCP implementation available
Zero-code configuration: add a server URL to a JSON file and Claude instantly discovers and exposes all available tools in the chat interface
Claude's extended thinking capability lets it reason through multi-step tool usage, chaining multiple API calls to answer complex questions
Enterprise-grade security with local config storage. your tokens never leave your machine, and connections go directly to Vinkius Edge network
Sentinel Hub + Claude Desktop Use Cases
Practical scenarios where Claude Desktop combined with the Sentinel Hub MCP Server delivers measurable value.
Interactive data exploration: ask Claude to query DNS records, look up WHOIS data, and cross-reference results in a single conversation
Ad-hoc security audits: type a domain name and let Claude enumerate subdomains, check DNS history, and flag configuration anomalies. all through natural language
Executive briefings: generate comprehensive domain intelligence reports by asking Claude to compile findings into a formatted summary
Learning and training: new team members can explore API capabilities conversationally without needing to read documentation
Example Prompts for Sentinel Hub in Claude Desktop
Ready-to-use prompts you can give your Claude Desktop agent to start working with Sentinel Hub immediately.
"Show me an NDVI vegetation analysis for the Amazon rainforest region."
"Find cloud-free Sentinel-2 imagery over Paris with less than 10% clouds."
"What band combinations can I use for wildfire assessment?"
Troubleshooting Sentinel Hub MCP Server with Claude Desktop
Common issues when connecting Sentinel Hub to Claude Desktop through the Vinkius, and how to resolve them.
Server not appearing after restart
~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\\Claude\\ (Windows).Authentication error
Tools not showing in chat
Sentinel Hub + Claude Desktop FAQ
Common questions about integrating Sentinel Hub MCP Server with Claude Desktop.
How does Claude Desktop discover MCP tools?
claude_desktop_config.json file and connects to each configured MCP server. It calls the tools/list endpoint to fetch the schema for every available tool, then surfaces them as clickable options in the chat interface via the 🔌 icon.What happens if the MCP server is temporarily unavailable?
Can I connect multiple MCP servers simultaneously?
mcpServers section of the config file. Each server appears as a separate tool provider, and Claude can use tools from multiple servers in a single conversation turn.