Sentinel Hub MCP Server for WindsurfGive Windsurf instant access to 14 tools to Catalog Search, Check Sentinel Hub Status, Generate False Color Evalscript, and more
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Sentinel Hub through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
Ask AI about this App Connector for Windsurf
The Sentinel Hub app connector for Windsurf is a standout in the Cloud Infrastructure category — giving your AI agent 14 tools to work with, ready to go from day one.
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{
"mcpServers": {
"sentinel-hub": {
"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.
Windsurf's Cascade agent chains multiple Sentinel Hub tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 14 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
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 Windsurf 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 Windsurf
When Windsurf 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 Windsurf via MCP
Follow these steps to wire Sentinel Hub into Windsurf. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Open MCP Settings
Cmd+Shift+P and search "MCP"Add the server
mcp_config.jsonSave and reload
Start using Sentinel Hub
Why Use Windsurf with the Sentinel Hub MCP Server
Windsurf provides unique advantages when paired with Sentinel Hub through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 14 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Sentinel Hub + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Sentinel Hub MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Sentinel Hub and generate models, types, or handlers based on real API responses
Live debugging: query Sentinel Hub tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Sentinel Hub and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Sentinel Hub data with Cascade's code generation to scaffold entire features in minutes
Example Prompts for Sentinel Hub in Windsurf
Ready-to-use prompts you can give your Windsurf 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 Windsurf
Common issues when connecting Sentinel Hub to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Sentinel Hub + Windsurf FAQ
Common questions about integrating Sentinel Hub MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.