How to Use the NASA DONKI — Space Weather Intelligence MCP in Mastra AI

Build resilient space weather alert workflows with Mastra AI to handle satellite safe-mode triggers automatically.

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Connect NASA DONKI — Space Weather Intelligence MCP to Mastra AI

Create your Vinkius account to connect NASA DONKI — Space Weather Intelligence 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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Setup NASA DONKI — Space Weather Intelligence with Mastra AI

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Automate CME Impact Workflows

The `get_cme` tool pulls down massive bursts of solar wind and magnetic fields directed at Earth. Mastra AI excels at taking this raw event data and feeding it into a conditional workflow. If an earth-directed CME is detected, your agent can branch the logic to evaluate the potential impact on orbital assets. You can chain this with `get_geomagnetic_storms` to measure the resulting Kp index. If the API times out during a massive solar event, the framework's exponential backoff retries the connection automatically. This prevents your automated mitigation scripts from failing right when you need them most.

Monitor Radiation Belts via MCP Server

Triggering `get_radiation_belt` exposes Van Allen radiation enhancements that pose severe risks to medium Earth orbit satellites. A workflow engine needs reliable triggers to initiate hardware shutdowns. This endpoint provides the exact energy levels required to make those calls. Mastra lets you add human-in-the-loop approvals before actually sending a shutdown command. The agent spots a dangerous radiation spike, halts the workflow, and pings an admin. Once approved, the pipeline resumes and protects the satellite.

Track Solar Energetic Particles

Using `get_solar_energetic_particles` gives your system early warning on radiation dangerous to both astronauts and electronics. These events move fast. You need a workflow that catches the anomaly and instantly runs a secondary check against recent solar flares using the MCP framework. If the agent confirms an X-class event via `get_solar_flares`, it executes the escalation path. Deploying this logic to any cloud takes one command. You get a production-ready space weather monitor that never sleeps.

Setup guide

Set up NASA DONKI — Space Weather Intelligence 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

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

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All NASA DONKI — Space Weather Intelligence tools become native Mastra tools.
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-donki-space-weather-intelligence-mcp-client",
  servers: {
    "nasa-donki-space-weather-intelligence-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "NASA DONKI — Space Weather Intelligence Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to NASA DONKI — Space Weather Intelligence tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent NASA DONKI — Space Weather Intelligence transactions"
);
console.log(result.text);

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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 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 DONKI — Space Weather Intelligence MCP in Mastra AI

Install @mastra/mcp@latest and initialize a new MCPClient. Pass the server URL into the servers object, then call listTools() to spread the endpoints into your agent's toolkit.

Yes. Network timeouts happen frequently during major solar events. The framework uses exponential backoff to retry endpoints like get_interplanetary_shocks until the payload successfully resolves.

Absolutely. You can enable requireToolApproval for critical workflows. If an agent decides a geomagnetic storm warrants shutting down a server rack, it waits for your manual confirmation.

You can configure parallel execution paths. One branch processes get_donki_notifications for general alerts while another deeply analyzes specific CME vectors.

This MCP Server strictly interacts with public astronomical datasets, specifically solar flare classifications and CME vectors. Your proprietary mitigation runbooks and infrastructure topology remain entirely local to your Mastra deployment and never touch external servers.

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