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

Build reliable planetary defense workflows in Mastra AI using the NASA Asteroids — Near-Earth Objects & Planetary Defense MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

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

Create your Vinkius account to connect NASA Asteroids — Near-Earth Objects & Planetary Defense to Mastra AI 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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Automate orbit monitoring

Trigger `get_neo_feed` within your Mastra agents to scan for new objects automatically. You set the logic to check for specific distance thresholds and react only when an object hits your risk criteria. This removes manual oversight from your monitoring pipeline. If the tool returns a hazardous object, your agent executes the next step in your workflow without delay.

Implement conditional risk alerts

Use `get_close_approaches` to evaluate incoming space rocks against your safety thresholds. You define the logic that decides when to alert your team based on the data returned. This creates a smart filter for the NASA Asteroids — Near-Earth Objects & Planetary Defense MCP Server. You only get notified when the data demands immediate human attention.

Cross-reference fireball events

Connect `get_fireballs` to your agent tasks to verify if detected objects match historical bolide patterns. You gain insight into smaller impacts that bypass standard orbit tracking. This adds a layer of validation to your defense strategy. Your agents use this data to refine their assessment of local atmospheric threats.

Setup guide

Set up NASA Asteroids — Near-Earth Objects & Planetary Defense MCP in Mastra AI

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

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

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All NASA Asteroids — Near-Earth Objects & Planetary Defense tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "nasa-asteroids-near-earth-objects-planetary-defense-mcp-client",
  servers: {
    "nasa-asteroids-near-earth-objects-planetary-defense-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "NASA Asteroids — Near-Earth Objects & Planetary Defense Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to NASA Asteroids — Near-Earth Objects & Planetary Defense tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent NASA Asteroids — Near-Earth Objects & Planetary Defense transactions"
);
console.log(result.text);

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 Mastra AI

Initialize the MCP client in your agent configuration and spread the tools into your agent definition. It connects automatically using the provided endpoint URL.
Yes, you configure exponential backoff in your agent workflow settings. If a request fails, the system tries again until it gets a response.
You can use Mastra's tool approval requirement for any tool call. This forces the agent to pause until you verify the NASA Asteroids — Near-Earth Objects & Planetary Defense data.
Once your workflow is defined, use the standard deploy command. The MCP server runs within your infrastructure, maintaining the same security posture.
The server accesses public astronomical records only. Your agent logs and internal workflow states are kept separate from the data fetched from JPL.

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

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Built & Managed by Vinkius 30s setup 5 tools

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