How to Use the NASA Open Data MCP in Vercel AI SDK

Q: How do I connect the NASA Open Data MCP Server to Vercel AI SDK?

Run npm install ai @ai-sdk/mcp. Then initialize the connection using createMCPClient({ transport: { type: "http", url: "..." } }) and pass the tools to your generation function.

Q: Do I need to close the MCP connection after fetching Mars photos?

You absolutely must. Always call mcpClient.close() when your Vercel AI SDK generation finishes to prevent memory leaks and dangling HTTP connections.

Stream live asteroid tracking and Mars rover telemetry directly to your Vercel AI SDK frontend.

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Connect NASA Open Data MCP to Vercel AI SDK

Create your Vinkius account to connect NASA Open Data 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 NASA Open Data with Vercel AI SDK

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Stream NEO Feeds to the UI

You call `get_near_earth_objects_feed` to pull raw asteroid coordinates and velocity data from NASA's backend. The Vercel AI SDK streams this JSON straight into your React components as it generates. Users watch the orbital mechanics table populate row by row. You don't need a loading spinner when the model evaluates threat levels and renders the UI concurrently.

Render Vercel AI SDK Mars Galleries

Grabbing surface shots requires `get_mars_rover_photos` to fetch image URLs from Curiosity or Perseverance. You pass the resulting array into `streamText` and map it to your Next.js image gallery. The edge function handles the API handshake while the client sees the Martian photos load instantly. It keeps the heavy lifting off the browser while rendering high-res telemetry live.

Live Space Weather Dashboards via MCP Server

Triggering `get_solar_flares` and `get_coronal_mass_ejections` feeds real-time solar event data to your agent. Your UI components parse the timestamped energy readings immediately. Building a warning system means you need speed. This integration pushes critical radiation metrics to the frontend before the API even finishes closing the connection.

Setup guide

Set up NASA Open Data 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 NASA Open Data 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 NASA Open Data 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 NASA. 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 NASA Open Data MCP in Vercel AI SDK

Run `npm install ai @ai-sdk/mcp`. Then initialize the connection using `createMCPClient({ transport: { type: "http", url: "..." } })` and pass the tools to your generation function.

Yes. When the model invokes image tools, it returns the raw URLs. Your frontend components can instantly render these URLs as they arrive in the stream.

Call the lookup tool with specific date parameters. The SDK handles the argument parsing and streams the filtered asteroid threat metrics back to your user.

You absolutely must. Always call `mcpClient.close()` when your Vercel AI SDK generation finishes to prevent memory leaks and dangling HTTP connections.

The server only processes public telemetry like coronal mass ejections and orbital coordinates. The V8 Isolate Sandbox ensures that the specific dates or rover cameras your users query remain ephemeral and isolated from other sessions.

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