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Copernicus Data Space MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 14 tools to Check Copernicus Status, Count Products, Get Collection, and more

Built by Vinkius GDPR 14 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Copernicus Data Space through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Ask AI about this App Connector for Vercel AI SDK

The Copernicus Data Space app connector for Vercel AI SDK 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

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Copernicus Data Space, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

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.

The Vercel AI SDK gives every Copernicus Data Space tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 14 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

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 Vercel AI SDK 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 Vercel AI SDK

When Vercel AI SDK 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 Vercel AI SDK via MCP

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

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 14 tools from Copernicus Data Space and passes them to the LLM

Why Use Vercel AI SDK with the Copernicus Data Space MCP Server

Vercel AI SDK provides unique advantages when paired with Copernicus Data Space through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Copernicus Data Space integration everywhere

03

Built-in streaming UI primitives let you display Copernicus Data Space tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Copernicus Data Space + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Copernicus Data Space MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Copernicus Data Space in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Copernicus Data Space tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Copernicus Data Space capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Copernicus Data Space through natural language queries

Example Prompts for Copernicus Data Space in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Copernicus Data Space + Vercel AI SDK FAQ

Common questions about integrating Copernicus Data Space MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.