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

Built by Vinkius GDPR 14 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Copernicus Data Space as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Ask AI about this App Connector for Google ADK

The Copernicus Data Space app connector for Google ADK 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
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="copernicus_data_space_agent",
    instruction=(
        "You help users interact with Copernicus Data Space "
        "using 14 available tools."
    ),
    tools=[mcp_tools],
)
Copernicus Data Space
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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.

Google ADK natively supports Copernicus Data Space as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 14 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK

When Google ADK 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 Google ADK via MCP

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

01

Install Google ADK

Run pip install google-adk
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Create the agent

Save the code above and integrate into your ADK workflow
04

Explore tools

The agent will discover 14 tools from Copernicus Data Space via MCP

Why Use Google ADK with the Copernicus Data Space MCP Server

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

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Copernicus Data Space

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine Copernicus Data Space tools with BigQuery, Vertex AI, and Cloud Functions

Copernicus Data Space + Google ADK Use Cases

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

01

Enterprise data agents: ADK agents query Copernicus Data Space and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Copernicus Data Space tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Copernicus Data Space regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Copernicus Data Space

Example Prompts for Copernicus Data Space in Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

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

01

McpToolset not found

Update: pip install --upgrade google-adk

Copernicus Data Space + Google ADK FAQ

Common questions about integrating Copernicus Data Space MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.