How to Use the Copernicus Data Space MCP in OpenAI Agents SDK

Q: How do I connect Copernicus Data Space to the OpenAI Agents SDK?

Install the SDK and instantiate MCPServerStreamableHttp pointing to your Vinkius endpoint. Pass this server instance inside the mcpservers list when creating your Agent. Connecting this MCP Server registers all fourteen tools.

Q: Can my OpenAI Agents SDK system filter Copernicus Data Space products by orbit?

Yes. Your agent uses searchbyorbitnumber to find products matching specific orbit paths. This is ideal for repeat-pass analysis and interferometry workflows.

Build production-grade OpenAI Agents SDK systems that fetch, filter, and inspect Sentinel satellite data without manual scripting.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Copernicus Data Space MCP to OpenAI Agents SDK

Create your Vinkius account to connect Copernicus Data Space to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Copernicus Data Space with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Query Sentinel databases using OpenAI Agents SDK

`search_products` queries Sentinel-1, Sentinel-2, and Sentinel-3 collections by date range and WKT polygon geometries. Your agent gets structured metadata including footprints, file sizes, and publication dates directly in its context. If you need to target a specific region, `search_by_bbox` handles geographic bounding boxes while `search_by_name` isolates tiles like T33UUP. This setup lets your system discover new earth observation datasets on the fly. No manual searching required.

Inspect product geometries and file structures

`get_product` pulls metadata for a satellite product by its UUID, including sensing time, footprint geometry, and file size. Your agent runs this check to verify data quality before initiating heavy downloads. It keeps your pipeline clean. For granular file checks, the agent calls `list_product_nodes` to map out the directory hierarchy of measurement data, metadata XMLs, and quicklook images. This step prevents downloading unwanted auxiliary files. You won't waste bandwidth on your production servers.

Generate temporary download links on demand

`get_product_download_url` generates an authenticated download link and a Bearer token valid for sixty minutes to retrieve raw Sentinel data. Your agent hands this URL off to downstream processing pipelines. It's safe and direct. If you need to verify credentials, `check_copernicus_status` confirms your access works. This MCP Server check prevents silent pipeline failures.

Setup guide

Set up Copernicus Data Space MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Copernicus Data Space tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Copernicus Data Space tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Copernicus Data Space tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Copernicus Data Space Agent",
            instructions="You have access to Copernicus Data Space tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Copernicus Data Space. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Copernicus Data Space now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Copernicus Data Space MCP in OpenAI Agents SDK

Install the SDK and instantiate `MCPServerStreamableHttp` pointing to your Vinkius endpoint. Pass this server instance inside the `mcp_servers` list when creating your Agent. Connecting this MCP Server registers all fourteen tools.

Yes. Your agent uses `search_by_orbit_number` to find products matching specific orbit paths. This is ideal for repeat-pass analysis and interferometry workflows.

Vinkius manages the underlying infrastructure so your agent doesn't hit rate limits. You can also run `count_products` first to check data volume before executing wide searches.

You can query Sentinel-1 radar, Sentinel-2 optical, Sentinel-3 ocean/land, Sentinel-5P atmosphere, and Sentinel-6 altimetry. Use `list_collections` to get the full list of supported satellite missions.

This MCP server only touches your Copernicus API credentials, query parameters, and temporary download tokens. Vinkius runs the server in an isolated sandbox, ensuring your authentication secrets never leak to the public LLM or external logs.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript