How to Use the Maxar (Satellite Imagery) MCP in Vercel AI SDK

Q: How do I set up the Maxar (Satellite Imagery) MCP Server with the Vercel AI SDK?

Initialize the client using createMCPClient with an HTTP transport pointing to your Vinkius endpoint. From there, call the tools method and pass the returned array directly into your streamText or generateText tool parameter.

Q: How does Vercel AI SDK handle tile coordinate errors from Maxar (Satellite Imagery)?

The model catches errors from getardtile and can automatically adjust coordinates or prompt the user for a new bounding box. Your frontend doesn't crash; the AI client simply handles the exception and suggests a fix.

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Connect Maxar (Satellite Imagery) MCP to Vercel AI SDK

Create your Vinkius account to connect Maxar (Satellite Imagery) 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 Maxar (Satellite Imagery) with Vercel AI SDK

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Search the Globe from Your Frontend

`search_discovery` lets your application query Maxar's catalog for raw satellite imagery based on spatial and temporal parameters. You pass coordinates from a map component directly to the tool, and the backend handles the query immediately. Users see the matching satellite passes pop up on their screen without waiting for a full page reload. This direct connection speeds up GIS analysis by skipping intermediate backend relays.

Order Imagery Assets in Vercel AI SDK

`create_order` processes requests for specific high-resolution imagery products directly through your frontend chat interface. Your user requests a specific bounding box, and the tool initiates the purchase flow. This MCP Server tool handles the heavy lifting of payload construction on the edge. You get immediate status updates streamed back to the UI, keeping the user informed of the order's progress.

Render Live Tiles on the Edge

`get_mws_endpoints` and `get_ard_tile` fetch the exact endpoints and metadata required to paint satellite tiles onto a map. Your app receives the direct streaming URLs and passes them straight to Leaflet or Mapbox. This MCP Server integration ensures your map layers update dynamically as the model resolves the coordinates. No spinners or laggy transitions block the viewport, just immediate geospatial visualization.

Setup guide

Set up Maxar (Satellite Imagery) 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 Maxar (Satellite Imagery) 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 Maxar (Satellite Imagery) transactions",
});

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Maxar. 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.

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Common questions about Maxar (Satellite Imagery) MCP in Vercel AI SDK

Initialize the client using `createMCPClient` with an HTTP transport pointing to your Vinkius endpoint. From there, call the tools method and pass the returned array directly into your `streamText` or `generateText` tool parameter.

Yes, the server runs in a isolated sandbox on Vinkius, which makes the client calls lightweight enough for Vercel's edge middleware. You don't have to worry about cold starts or heavy dependency bundles.

The model catches errors from `get_ard_tile` and can automatically adjust coordinates or prompt the user for a new bounding box. Your frontend doesn't crash; the AI client simply handles the exception and suggests a fix.

No, Vinkius handles the credentials securely on the server side. Your application only needs a single secure endpoint token to access the tools.

Vinkius processes all coordinate queries in ephemeral, zero-trust sandboxes. Your bounding boxes and order histories are never cached or exposed to third parties.

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