Compatible with every major AI agent and IDE
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 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 collection on Copernicus Data Space
Use collection names like "SENTINEL-2", "SENTINEL-1", or "SENTINEL-3". Get details about a specific Copernicus collection
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 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 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 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 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 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 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 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 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 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 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
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.
Copernicus Data Space. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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