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Bring Satellite Imagery
to LlamaIndex

Learn how to connect Copernicus Data Space to LlamaIndex and start using 14 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Check Copernicus StatusCount ProductsGet CollectionGet ProductGet Product Download UrlGet QuicklookList AttributesList CollectionsList Latest ProductsList Product NodesSearch By BboxSearch By NameSearch By Orbit NumberSearch Products

What is the 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.

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

How it works

1. Subscribe to this server
2. Register at dataspace.copernicus.eu and create an OAuth2 client
3. Enter your credentials as client_id:client_secret in the field below
4. Start querying terabytes of satellite data from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Remote Sensing Analysts — discover and access satellite imagery for land use mapping, urban planning, and environmental monitoring
  • Climate Researchers — query long-term data archives for climate change analysis and carbon monitoring
  • Agriculture Professionals — find cloud-free imagery for precision farming, crop monitoring, and yield estimation
  • Emergency Response Teams — rapidly locate recent satellite acquisitions for disaster assessment and situational awareness

Built-in capabilities (14)

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

Why LlamaIndex?

LlamaIndex agents combine Copernicus Data Space tool responses with indexed documents for comprehensive, grounded answers. Connect 14 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

  • Data-first architecture: LlamaIndex agents combine Copernicus Data Space tool responses with indexed documents for comprehensive, grounded answers

  • Query pipeline framework lets you chain Copernicus Data Space tool calls with transformations, filters, and re-rankers in a typed pipeline

  • Multi-source reasoning: agents can query Copernicus Data Space, a vector store, and a SQL database in a single turn and synthesize results

  • Observability integrations show exactly what Copernicus Data Space tools were called, what data was returned, and how it influenced the final answer

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See it in action

Copernicus Data Space in LlamaIndex

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Copernicus Data Space and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect Copernicus Data Space to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Copernicus Data Space in LlamaIndex

The Copernicus Data Space 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. All 14 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

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

The Vinkius Advantage

How Vinkius secures Copernicus Data Space for LlamaIndex

Every tool call from LlamaIndex to the Copernicus Data Space MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

How do I get Copernicus OAuth2 credentials?

Register for free at dataspace.copernicus.eu, navigate to your User Settings dashboard, and create a new OAuth client. You'll receive a Client ID and Client Secret — enter them in the format client_id:client_secret. The entire process takes under 2 minutes.

02

What satellite data is available through this server?

You can access data from all Copernicus Sentinel missions: Sentinel-1 (SAR radar imagery), Sentinel-2 (high-resolution optical imagery at 10m), Sentinel-3 (ocean and land monitoring), Sentinel-5P (atmospheric composition), Sentinel-6 (sea level altimetry), plus complementary data from Landsat, SMOS, and MERIS missions.

03

Can I download satellite products through this server?

Yes. Use the get_product_download_url tool with a product UUID to generate a time-limited authenticated download URL. The URL and Bearer token are valid for approximately one hour. Products are typically in ESA SAFE format and can range from hundreds of megabytes to several gigabytes.

04

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

05

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Copernicus Data Space tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

06

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

07

BasicMCPClient not found

Install: pip install llama-index-tools-mcp