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Integrate Copernicus Data Space with Claude, Cursor, Chatbots & AI Agents MCP Server

Access satellite imagery and Earth observation datasets from the EU Copernicus program for environmental and geospatial analysis.
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Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
check

Check copernicus status on Copernicus Data Space

Returns the connection status. Use this to verify your client_id:client_secret credentials are working correctly. Verify Copernicus Data Space API connectivity and authentication

count

Count products on Copernicus Data Space

Useful for understanding data volume before executing a full search, or for monitoring data availability trends. Count total products available for a collection and date range

get

Get collection on Copernicus Data Space

Use collection names like "SENTINEL-2", "SENTINEL-1", or "SENTINEL-3". Get details about a specific Copernicus collection

get

Get product on Copernicus Data Space

Returns name, sensing time, footprint geometry, file size, checksum, and all associated attributes. Use this after searching to inspect a specific product before downloading. Get detailed metadata for a specific satellite product by UUID

get

Get product download url on Copernicus Data Space

Returns the direct download URL along with a Bearer token valid for approximately one hour. Use this to download raw satellite data products (typically in SAFE format for Sentinel data). Generate an authenticated download URL for a product

get

Get quicklook on Copernicus Data Space

Useful for understanding the product structure and accessing thumbnail previews without downloading the full product. Get quicklook preview and file nodes for a product

list

List attributes on Copernicus Data Space

This helps you understand what filtering parameters are available (e.g., cloud cover percentage, orbit direction, processing level) for refining product searches. List available metadata attributes for a collection

list

List collections on Copernicus Data Space

Includes Sentinel-1 (radar), Sentinel-2 (optical), Sentinel-3 (ocean/land), Sentinel-5P (atmosphere), Sentinel-6 (altimetry), and complementary missions like Landsat. Each entry includes temporal coverage and description. List all available Copernicus satellite data collections

list

List latest products on Copernicus Data Space

Useful for monitoring new data availability or checking processing pipeline status. List the most recently published satellite products

list

List product nodes on Copernicus Data Space

Returns the hierarchy of files including measurement data, metadata XML, quicklook images, and auxiliary data. Essential for understanding product structure before selective download. List all files contained within a satellite product

search

Search by bbox on Copernicus Data Space

Combines spatial filtering with collection and temporal constraints. Ideal for region-specific analysis workflows. Search satellite products within a geographic bounding box

search

Search by name on Copernicus Data Space

Useful for finding specific orbits, tiles (e.g., "T33UUP" for Sentinel-2 tile), or granule identifiers. Returns product metadata ordered by sensing date. Search satellite products by name pattern

search

Search by orbit number on Copernicus Data Space

Especially useful for Sentinel-1 (SAR) and Sentinel-2 (optical) repeat-pass analysis, interferometry, and change detection workflows where you need data from the exact same orbit geometry. Search satellite products by orbit number

search

Search products on Copernicus Data Space

Specify a collection name (e.g., "SENTINEL-2", "SENTINEL-1"), a date range in YYYY-MM-DD format, and optionally an area of interest as a WKT polygon. Returns product metadata including name, footprint, size, and publication date. Maximum 20 results by default. Search Sentinel satellite products by collection, date range, and area

Security & Code Integrity Audit

Every tool in the Copernicus Data Space MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.

MCP Inspector
A+Score: 98.33

How Vinkius protects your data

Is there a risk of the AI "going crazy" and deleting important company data?

No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.

How do I get Copernicus OAuth2 credentials?

Register for free at dataspace.copernicus.eu, navigate to your User Settings dashboard, and create a new OAuth client. You'll receive a Client ID and Client Secret — enter them in the format client_id:client_secret. The entire process takes under 2 minutes.

What happens if the underlying API rate limits my agent?

Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.

Does the AI train on my tools or API data?

No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.

Automated Workflows using Copernicus Data Space

Connect your AI agents and chatbots (Claude, ChatGPT, Cursor) with the Copernicus Data Space MCP server to manage operations across the following domains.

Intelligent satellite imagery Management

The Copernicus Data Space server supports direct MCP connections for satellite imagery. This provides Claude with the required permissions to execute the unthinkable functions.

geospatial analysis & AI Execution

Integrate the Copernicus Data Space server to handle geospatial analysis requests natively. It provides the schemas required for ChatGPT and Cursor to manage the unthinkable data.

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