How to Use the NASA Earth — Full-Disk Imagery & Natural Events MCP in Mastra AI

Q: How does the NASA Earth — Full-Disk Imagery & Natural Events server work with Mastra AI's conditional logic?

The tool outputs are just data. You can use Mastra's if/then conditions on the results. For example, if getnaturalevents.category == 'volcanoes' then call a different tool or notify a specific person.

Q: How far back can I get images with getepicbydate?

You can check all available dates by first calling getepicdates. This tool returns a list of every single day that has imagery, so you can see the full range before you start requesting specific dates.

Build resilient workflows with Mastra AI that monitor planetary events from NASA's Earth data feeds.

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Connect NASA Earth — Full-Disk Imagery & Natural Events MCP to Mastra AI

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Setup NASA Earth — Full-Disk Imagery & Natural Events with Mastra AI

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Perplexity

Trigger Workflows from Global Events

Set up a workflow that listens for specific natural events. Use `get_natural_events` with a filter for `wildfires` or `severeStorms`. When a new event appears, Mastra AI can kick off a complex chain of actions. This isn't just a simple webhook. Mastra's engine allows for conditional logic. If a new wildfire event is detected, check its coordinates, cross-reference an internal database, and dispatch a notification to the right regional team.

Handle Unreliable Public APIs

Let's be honest, public APIs can be flaky. The NASA APIs are great, but they have rate limits and can go down. Mastra AI is built for this reality. If a call to `get_epic_images` fails, Mastra's workflow engine can automatically retry with exponential backoff. You don't need to write that logic yourself. It just works, making your agent far more reliable.

Automate Data Reporting with Mastra AI

Create a daily "state of the planet" report. Your Mastra AI agent can start by calling `get_event_categories` to get the full list of what to look for. Then, it can loop through each category, calling `get_natural_events` to gather all active events. Mastra's workflow can aggregate all this data, format it, and then send it to a Slack channel or email address. If one part fails, this MCP server can log the error and continue with the rest.

Setup guide

Set up NASA Earth — Full-Disk Imagery & Natural Events 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 Earth — Full-Disk Imagery & Natural Events 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-earth-full-disk-imagery-natural-events-mcp-client",
  servers: {
    "nasa-earth-full-disk-imagery-natural-events-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "NASA Earth — Full-Disk Imagery & Natural Events Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to NASA Earth — Full-Disk Imagery & Natural Events tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent NASA Earth — Full-Disk Imagery & Natural Events transactions"
);
console.log(result.text);

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Common questions about NASA Earth — Full-Disk Imagery & Natural Events MCP in Mastra AI

You define a workflow in Mastra AI and give it access to the MCP tools. You can then create steps like "When `get_natural_events` finds a new iceberg, then...". The Mastra engine executes the logic.

Yes, automatically. Mastra AI has built-in retry mechanisms and error handling. If a call to a NASA endpoint times out, Mastra can wait and try again, which is essential for robust, long-running workflows.

The tool outputs are just data. You can use Mastra's `if/then` conditions on the results. For example, `if get_natural_events.category == 'volcanoes'` then call a different tool or notify a specific person.

You can check all available dates by first calling `get_epic_dates`. This tool returns a list of every single day that has imagery, so you can see the full range before you start requesting specific dates.

The NASA server only processes the inputs for its tools, like dates or event IDs. Your Mastra AI workflows connect to Vinkius via a secure URL. The server itself runs in a zero-trust sandbox that gets erased after the job is done, keeping your workflow's logic separate.

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