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How to Use the NASA Asteroids — Near-Earth Objects & Planetary Defense MCP in Vercel AI SDK

Stream real-time orbital data directly into your frontend with the AI SDK and this NASA Asteroids — Near-Earth Objects & Planetary Defense MCP Server.

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Connect NASA Asteroids — Near-Earth Objects & Planetary Defense MCP to Vercel AI SDK

Create your Vinkius account to connect NASA Asteroids — Near-Earth Objects & Planetary Defense 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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Track close approaches in your UI

Feed live orbital data into your React or Next.js components using `get_close_approaches`. You get raw distance and velocity metrics streamed directly to the browser for instant visualization. Your users see the sky move without waiting for backend polling. By mapping these objects via `get_neo_feed`, you build interfaces that show potential impact trajectories as they happen.

Query the NASA catalog on demand

Use `get_neo_lookup` to pull specific object telemetry from the NASA Asteroids — Near-Earth Objects & Planetary Defense MCP Server. You fetch precise SPK-ID data without writing manual API wrappers. This keeps your bundle light and your logic focused on the view. Simply call the tool and pass the result object directly into your state management for a clean data flow.

Monitor atmospheric events

Integrate `get_fireballs` to display global bolide impacts in your dashboard. You capture energy output and altitude data from government sensors as soon as they report. This gives your audience a view of smaller, uncatalogued debris entering the atmosphere. It provides necessary context that broad orbital tracking often misses.

Setup guide

Set up NASA Asteroids — Near-Earth Objects & Planetary Defense 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all NASA Asteroids — Near-Earth Objects & Planetary Defense tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 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 Asteroids — Near-Earth Objects & Planetary Defense transactions",
});

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

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 Asteroids — Near-Earth Objects & Planetary Defense MCP in Vercel AI SDK

Install the MCP client package and initialize it with the server URL. Use `generateText` to pass the tools into your agent loop for immediate access.
Yes, it supports tool result streaming by design. Your frontend displays data as the MCP server returns it, keeping the latency low.
You filter the data by passing parameters like date ranges or distance thresholds to the tool functions. The server handles the logic and returns the specific subset you requested.
The server uses endpoint token authentication. Your credentials stay isolated while the AI SDK handles the transport securely.
This server only touches public JPL CNEOS data. No user telemetry or personal records are ever transmitted or stored by the tools.

Start using the NASA Asteroids — Near-Earth Objects & Planetary Defense MCP today

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