How to Use the Copernicus Data Space MCP in Google ADK

Q: How do I configure Copernicus Data Space with the Google ADK?

Instantiate McpToolset with the Vinkius HTTP URL and pass it to your LlmAgent tools list. This instantly registers this MCP Server.

Q: Can I limit which Copernicus Data Space tools are exposed to Google ADK?

Yes. You can use the optional toolnames filter in the toolset configuration to restrict exposure. For example, you can expose only search tools and block raw download functions.

Feed Copernicus satellite metadata straight into your Google ADK pipelines for enterprise-grade geospatial analysis in BigQuery.

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Connect Copernicus Data Space MCP to Google ADK

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

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Setup Copernicus Data Space with Google ADK

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Run geographic searches within Google ADK

`search_by_bbox` scans the Copernicus catalog using a geographic bounding box to find relevant satellite passes over your target region. This tool feeds coordinates directly to Gemini's long-context window, letting the model compare multiple dates at once. To narrow the search, `list_attributes` returns the specific metadata keys available for that collection, such as cloud cover percentage or orbit direction. Your enterprise agent uses these attributes to filter out bad data before saving results to BigQuery.

Analyze satellite product structures before downloading

`list_product_nodes` exposes the entire file tree of a Sentinel product, including measurement data and metadata XML files. Your agent reviews this layout to locate specific bands or auxiliary files without downloading the multi-gigabyte SAFE package. If the agent needs a visual check, `get_quicklook` fetches thumbnail previews and structure details. This allows the model to confirm the image is cloud-free before triggering heavy data pipelines.

Generate secure download URLs via MCP Server

`get_product_download_url` provides an authenticated URL and a Bearer token valid for one hour to download raw data. Your agent passes this temporary link to your Google Cloud Storage ingestion pipelines. To ensure your API access remains active, `check_copernicus_status` verifies your credentials. This MCP Server tool keeps your automated workflows online because the agent can self-diagnose connection issues.

Setup guide

Set up Copernicus Data Space MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Copernicus Data Space tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Copernicus Data Space_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Copernicus Data Space tools via MCP.",
    tools=mcp_tools,
)

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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.

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Common questions about Copernicus Data Space MCP in Google ADK

Instantiate `McpToolset` with the Vinkius HTTP URL and pass it to your `LlmAgent` tools list. This instantly registers this MCP Server.

Yes. You can use the optional `tool_names` filter in the toolset configuration to restrict exposure. For example, you can expose only search tools and block raw download functions.

Yes. The tools return standard WKT polygon geometries and bounding boxes. Gemini uses its long context to parse these spatial coordinates and correlate them with your internal BigQuery datasets.

You can access Sentinel-1, Sentinel-2, Sentinel-3, Sentinel-5P, Sentinel-6, and Landsat. Run `list_collections` to inspect temporal coverage and descriptions for each mission.

Yes. The credentials and download tokens used by this MCP Server are processed within a zero-trust sandbox. No raw credentials are saved, and the temporary Bearer tokens expire automatically after one hour.

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