How to Use the NASA Full — Ultimate Space Intelligence MCP in Vercel AI SDK

Q: How do I hook up NASA Full — Ultimate Space Intelligence with Vercel AI SDK?

Install @ai-sdk/mcp and instantiate createMCPClient with your HTTP transport URL. Pass the resulting tool array to your generation function.

Stream raw telemetry from 32 NASA endpoints directly into your React components using the Vercel AI SDK.

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Connect NASA Full — Ultimate Space Intelligence MCP to Vercel AI SDK

Create your Vinkius account to connect NASA Full — Ultimate Space Intelligence 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 Full — Ultimate Space Intelligence with Vercel AI SDK

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Perplexity

Stream Live Space Imagery

`search_media` and `get_apod` feed high-resolution space imagery straight to your frontend. You do not want users staring at loading spinners while fetching 140,000+ assets from the NASA library. Passing these tools to your AI client allows the agent to surface image metadata and URLs in real-time. `get_media_metadata` provides the exact coordinates and camera details for those assets. Edge-compatible runtimes mean these requests execute near the user, cutting latency. The UI populates instantly as the LLM parses the payload over the MCP connection.

Monitor Asteroids and CMEs

`get_neo_feed` pulls near-Earth asteroid trajectories so your Next.js dashboard can render hazard alerts live. This MCP Server exposes exact velocity and miss-distance metrics. Your AI client evaluates the threat level and streams the parsed warning directly to the client browser. `get_cme` tracks coronal mass ejections from the DONKI database. Connecting this to your UI lets you build live solar weather monitors. The data flows from NASA through the Vercel transport layer without requiring intermediate database storage.

Build Exoplanet Dashboards

`query_confirmed_planets` queries orbital periods and equilibrium temperatures across 5,700 known exoplanets. Building an interactive catalog requires fast, typed responses. You hand this tool to your agent, and it filters Kepler and TESS discoveries based on user prompts. `get_habitable_zone` narrows that list down to planets capable of supporting liquid water. The SDK handles the tool execution loop automatically. Developers just map the resulting JSON objects to their Svelte or Vue components.

Setup guide

Set up NASA Full — Ultimate Space Intelligence 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 Full — Ultimate Space Intelligence 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 Full — Ultimate Space Intelligence 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 Full — Ultimate Space Intelligence MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and instantiate `createMCPClient` with your HTTP transport URL. Pass the resulting tool array to your generation function.

Yes. The server returns the camera manifest and image URLs. Your frontend component receives these strings as they generate.

It operates entirely over standard HTTP. You can call this MCP Server from Vercel Edge Functions without Node.js compatibility issues.

The default demo key restricts you to 40 requests per hour. Supply your own NASA API key in the environment variables for production workloads.

Patent search queries pass straight to the NASA API over encrypted HTTPS. The server operates in an ephemeral V8 isolate and drops the connection state immediately after returning the technology spinoff records.

Use it with your favorite AI tools

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

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