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Copernicus Data Space MCP Server for AutoGenGive AutoGen instant access to 14 tools to Check Copernicus Status, Count Products, Get Collection, and more

Built by Vinkius GDPR 14 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Copernicus Data Space as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Ask AI about this App Connector for AutoGen

The Copernicus Data Space app connector for AutoGen 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

python
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="copernicus_data_space_agent",
            tools=tools,
            system_message=(
                "You help users with Copernicus Data Space. "
                "14 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())
Copernicus Data Space
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Copernicus Data Space tools. Connect 14 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen

When AutoGen 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.

check_copernicus_status

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

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

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

get_product

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

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

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

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

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

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

list_product_nodes

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

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

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

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

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 AutoGen via MCP

Follow these steps to wire Copernicus Data Space into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install AutoGen

Run pip install "autogen-ext[mcp]"
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration
04

Explore tools

The workbench discovers 14 tools from Copernicus Data Space automatically

Why Use AutoGen with the Copernicus Data Space MCP Server

AutoGen provides unique advantages when paired with Copernicus Data Space through the Model Context Protocol.

01

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Copernicus Data Space tools to solve complex tasks

02

Role-based architecture lets you assign Copernicus Data Space tool access to specific agents. a data analyst queries while a reviewer validates

03

Human-in-the-loop support: agents can pause for human approval before executing sensitive Copernicus Data Space tool calls

04

Code execution sandbox: AutoGen agents can write and run code that processes Copernicus Data Space tool responses in an isolated environment

Copernicus Data Space + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Copernicus Data Space MCP Server delivers measurable value.

01

Collaborative analysis: one agent queries Copernicus Data Space while another validates results and a third generates the final report

02

Automated review pipelines: a researcher agent fetches data from Copernicus Data Space, a critic agent evaluates quality, and a writer produces the output

03

Interactive planning: agents negotiate task allocation using Copernicus Data Space data to make informed decisions about resource distribution

04

Code generation with live data: an AutoGen coder agent writes scripts that process Copernicus Data Space responses in a sandboxed execution environment

Example Prompts for Copernicus Data Space in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with Copernicus Data Space immediately.

01

"Find Sentinel-2 satellite images over Lisbon from the last week."

02

"How many Sentinel-1 radar products are available for January 2026?"

03

"What data collections are available in the Copernicus Data Space?"

Troubleshooting Copernicus Data Space MCP Server with AutoGen

Common issues when connecting Copernicus Data Space to AutoGen through the Vinkius, and how to resolve them.

01

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Copernicus Data Space + AutoGen FAQ

Common questions about integrating Copernicus Data Space MCP Server with AutoGen.

01

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Copernicus Data Space tools during their conversation turns.
02

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.
03

Does AutoGen support human approval for tool calls?

Yes. Configure human-in-the-loop mode so agents pause and request approval before executing sensitive MCP tool calls.