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
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
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();
* 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.
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
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
Use collection names like "SENTINEL-2", "SENTINEL-1", or "SENTINEL-3". Get details about a specific Copernicus collection
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
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
Useful for understanding the product structure and accessing thumbnail previews without downloading the full product. Get quicklook preview and file nodes for a product
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
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
Useful for monitoring new data availability or checking processing pipeline status. List the most recently published satellite products
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
Combines spatial filtering with collection and temporal constraints. Ideal for region-specific analysis workflows. Search satellite products within a geographic bounding box
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
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
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.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
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.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Copernicus Data Space integration everywhere
Built-in streaming UI primitives let you display Copernicus Data Space tool results progressively in React, Svelte, or Vue components
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.
AI-powered web apps: build dashboards that query Copernicus Data Space in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Copernicus Data Space tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Copernicus Data Space capabilities into conversational interfaces with streaming responses and tool call visibility
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.
"Find Sentinel-2 satellite images over Lisbon from the last week."
"How many Sentinel-1 radar products are available for January 2026?"
"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.
createMCPClient is not a function
npm install @ai-sdk/mcpCopernicus Data Space + Vercel AI SDK FAQ
Common questions about integrating Copernicus Data Space MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.