Copernicus Data Space MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 14 tools to Check Copernicus Status, Count Products, Get Collection, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Copernicus Data Space through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The Copernicus Data Space app connector for OpenAI Agents SDK is a standout in the The Unthinkable 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
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Copernicus Data Space Assistant",
instructions=(
"You help users interact with Copernicus Data Space. "
"You have access to 14 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Copernicus Data Space"
)
print(result.final_output)
asyncio.run(main())
* 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 Copernicus Data Space MCP Server
Connect to the Copernicus Data Space Ecosystem and unlock the world's largest open Earth observation archive directly from your AI agent.
The OpenAI Agents SDK auto-discovers all 14 tools from Copernicus Data Space through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Copernicus Data Space, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Product Discovery — Search across Sentinel-1 (radar), Sentinel-2 (optical), Sentinel-3 (ocean/land), Sentinel-5P (atmosphere), and Sentinel-6 (altimetry) collections with temporal, spatial, and attribute filters
- Geographic Search — Find satellite products covering any location on Earth using bounding box coordinates or WKT polygon geometries
- Orbit-Based Queries — Retrieve data from specific satellite orbits for interferometry, change detection, and repeat-pass analysis
- Product Inspection — Access complete metadata, quicklook previews, and internal file structure for any product
- Download Orchestration — Generate authenticated download URLs with time-limited Bearer tokens for direct product retrieval
- Data Volume Assessment — Count products matching your criteria before executing full searches
The Copernicus Data Space MCP Server exposes 14 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 Copernicus Data Space tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to Copernicus Data Space through Vinkius, your AI agent gets direct access to every tool listed below — spanning satellite-imagery, geospatial-analysis, earth-observation, 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.
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
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
Use collection names like "SENTINEL-2", "SENTINEL-1", or "SENTINEL-3". Get details about a specific Copernicus collection
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
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
Useful for understanding the product structure and accessing thumbnail previews without downloading the full product. Get quicklook preview and file nodes for a product
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
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
Useful for monitoring new data availability or checking processing pipeline status. List the most recently published satellite products
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
Combines spatial filtering with collection and temporal constraints. Ideal for region-specific analysis workflows. Search satellite products within a geographic bounding box
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
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
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
Connect Copernicus Data Space to OpenAI Agents SDK via MCP
Follow these steps to wire Copernicus Data Space into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Copernicus Data Space MCP Server
OpenAI Agents SDK provides unique advantages when paired with Copernicus Data Space through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Copernicus Data Space + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Copernicus Data Space MCP Server delivers measurable value.
Automated workflows: build agents that query Copernicus Data Space, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Copernicus Data Space, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Copernicus Data Space tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Copernicus Data Space to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Copernicus Data Space in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Copernicus Data Space immediately.
"Find Sentinel-2 satellite images over Lisbon from the last week."
"How many Sentinel-1 radar products are available for January 2026?"
"What data collections are available in the Copernicus Data Space?"
Troubleshooting Copernicus Data Space MCP Server with OpenAI Agents SDK
Common issues when connecting Copernicus Data Space to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Copernicus Data Space + OpenAI Agents SDK FAQ
Common questions about integrating Copernicus Data Space MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.