How to Use the Copernicus Data Space MCP in Vercel AI SDK

Q: How do I query Copernicus Data Space using Vercel AI SDK?

You define the tools within your agent configuration. Call searchproducts to fetch metadata, then pass the output to your frontend state.

Q: Can Vercel AI SDK handle Copernicus Data Space imagery previews?

Yes, use getquicklook to retrieve thumbnail images. You can then render these images as base64 strings or URLs directly in your UI.

Stream raw Copernicus Data Space imagery directly into your Vercel AI SDK interface for live environmental monitoring.

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Connect Copernicus Data Space MCP to Vercel AI SDK

Create your Vinkius account to connect Copernicus Data Space to Vercel AI SDK 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 Vercel AI SDK

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Claude

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Real-time satellite data streaming in AI SDK

Feed satellite metadata directly into your React components using `get_product` and `list_product_nodes`. Your users watch the data arrive in real-time without staring at empty loading states. This MCP Server handles the connection logic while your frontend renders the incoming JSON. You get a clean pipeline from the Copernicus data archive to your user's browser.

Targeted spatial queries for Vercel AI SDK

Trigger `search_by_bbox` to narrow down imagery to specific regions of interest. You can pin the search results to geographic coordinates immediately within your application logic. Filtering by collection is fast with `get_collection` and `list_collections`. Your agent handles the heavy lifting, passing refined data to your UI components for immediate display.

Automated download management in AI SDK

Generate temporary download links with `get_product_download_url` to serve raw imagery files to your users. The process is automated, so you don't have to manage long-term credentials or session tokens manually. Check your API health using `check_copernicus_status` before initiating large transfers. The SDK manages the tool execution, ensuring the user gets their file access token exactly when they need it.

Setup guide

Set up Copernicus Data Space MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Copernicus Data Space tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Copernicus Data Space transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

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.

Why Choose Vinkius

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60%

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Common questions about Copernicus Data Space MCP in Vercel AI SDK

You define the tools within your agent configuration. Call `search_products` to fetch metadata, then pass the output to your frontend state.

Yes, use `get_quicklook` to retrieve thumbnail images. You can then render these images as base64 strings or URLs directly in your UI.

Yes, the Vercel AI SDK handles these tool calls as asynchronous streams. Results appear in your chat interface as they return from the server.

The server manages the handshake. You provide the credentials once, and the MCP Server maintains the session for the duration of the request.

The server only touches public satellite metadata and access tokens. All traffic is encrypted in transit and never stored on our servers.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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