How to Use the Copernicus Data Space MCP in AutoGen

Q: Can multiple AutoGen agents use Copernicus Data Space tools simultaneously?

Yes, different agents can call tools like searchproducts and listcollections in parallel. They share the outputs in their chat history to reach a consensus on which satellite files to download.

Let your AutoGen agents debate and negotiate the best Sentinel imagery for your geographic analysis pipelines.

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 AutoGen

Create your Vinkius account to connect Copernicus Data Space to AutoGen 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 AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Multi-Agent Imagery Selection

In AutoGen, a search agent can run `search_products` to find Sentinel-2 tiles while a separate quality agent inspects `get_quicklook` to check for cloud cover. They debate which product meets your criteria, ensuring you don't waste time downloading unusable images. This collaborative loop uses `list_attributes` to verify that the selected files match your exact processing levels. The agents negotiate the optimal trade-off between sensing date and image clarity before agreeing on a final dataset.

Consensus-Driven MCP Server Download Workflows

Guard your bandwidth by letting AutoGen agents verify files before downloading. A budget agent can call `get_product` to check file sizes, while a data agent uses this MCP Server to request `get_product_download_url`. If the file size exceeds your limits, the budget agent blocks the download and demands a smaller spatial bounding box. The data agent then runs `search_by_bbox` to find a more targeted subset of the imagery.

Orbit and Path Verification

For interferometry and change detection, your AutoGen agents can coordinate to match orbit geometries. One agent calls `search_by_orbit_number` to find matching passes, while another checks the connection status via `check_copernicus_status`. They verify that the Sentinel-1 SAR data matches the exact same geometry before triggering any downloads. This multi-agent verification guarantees you only pull pairs of images that are physically compatible for analysis.

Setup guide

Set up Copernicus Data Space MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Copernicus Data Space tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Copernicus Data Space_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Copernicus Data Space data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Copernicus Data Space_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Copernicus Data Space data")
    print(result.messages[-1].content)

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 AutoGen

You register the MCP Server tools using the AutoGen adapter, which maps the 14 Sentinel tools to your agent's capabilities. The agents can then call them dynamically during their multi-turn conversations.

Yes, different agents can call tools like `search_products` and `list_collections` in parallel. They share the outputs in their chat history to reach a consensus on which satellite files to download.

You can set up a gatekeeper agent that monitors the output of `get_product` file sizes. It will refuse to approve the `get_product_download_url` step if the total size exceeds your specified limit.

Vinkius handles the credentials on our secure infrastructure, giving you one endpoint token. Your AutoGen agents call the tools without needing to manage temporary Bearer tokens or OAuth flows themselves.

Your Sentinel search parameters and spatial bounding boxes are processed in an isolated V8 sandbox running the MCP Server. Vinkius never logs your raw geographic coordinates or satellite product metadata, ensuring your research stays confidential.

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