How to Use the ESA Near Earth Objects MCP in Mastra AI

Q: How do I connect the ESA Near Earth Objects MCP server to Mastra AI?

Install @mastra/mcp@latest and initialize the client with your server URL. Call listTools and spread them into your Mastra agent's tool array.

Q: How do I build an alert system for ESA Near Earth Objects with Mastra AI?

Set up a cron-triggered workflow that calls getupcomingcloseapproaches. Use conditional branching to send a notification only if the miss distance drops below your defined lunar distance threshold.

Q: Can I require human review before processing impact tables?

Yes. Enable requireToolApproval on the getimpacttable tool. The Mastra AI engine will pause the workflow and wait for your authorization before parsing the virtual impactor data.

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Connect ESA Near Earth Objects MCP to Mastra AI

Create your Vinkius account to connect ESA Near Earth Objects 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 ESA Near Earth Objects with Mastra AI

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Automate Asteroid Follow-Up Workflows

`get_priority_list` fetches near-Earth objects with incomplete orbital arcs directly into your Mastra AI workflow. These are the rocks we actually need to watch. Your agent pulls this list, evaluating which targets require immediate telescope allocation. Mastra AI handles the failure states automatically. If the ESA API times out during the fetch, the framework applies exponential backoff and retries. You can build a branch that alerts an administrator if the priority list contains a new, high-uncertainty object.

Execute Conditional Risk Logic

`get_risk_list` provides the estimated diameter and cumulative impact probability for actively monitored threats. You configure Mastra AI to trigger a secondary workflow if an object's Palermo Scale value crosses a specific threshold. I mean, we don't need human intervention for background noise. But if `get_special_risk_list` returns a new entry, Mastra AI can halt the pipeline and request human approval via its built-in tools. The system pauses, you review the telemetry, and the workflow resumes only when you say so.

Validate ESA Near Earth Objects MCP Server Health

`check_esa_neocc_status` returns the connection status and service URL for the ESA backend. Mastra AI can run this tool at the start of any pipeline to ensure the integration is active before attempting heavy data pulls. Let's be real, external APIs fail. You just install the framework, initialize a new MCP client, and let the system auto-detect the transport. If the connection drops, Mastra AI routes the failure through its built-in error handling engine.

Setup guide

Set up ESA Near Earth Objects 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 ESA Near Earth Objects 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: "esa-near-earth-objects-mcp-client",
  servers: {
    "esa-near-earth-objects-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent ESA Near Earth Objects transactions"
);
console.log(result.text);

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Common questions about ESA Near Earth Objects MCP in Mastra AI

Install `@mastra/mcp@latest` and initialize the client with your server URL. Call `listTools` and spread them into your Mastra agent's tool array.

That is exactly what it does best. Mastra AI's built-in workflow engine uses exponential backoff to retry failed calls to tools like `get_impact_table` or `get_object_ephemerides` without breaking your pipeline.

Set up a cron-triggered workflow that calls `get_upcoming_close_approaches`. Use conditional branching to send a notification only if the miss distance drops below your defined lunar distance threshold.

Yes. Enable `requireToolApproval` on the `get_impact_table` tool. The Mastra AI engine will pause the workflow and wait for your authorization before parsing the virtual impactor data.

The framework only transmits the specific asteroid identifiers, like "99942 Apophis", to the remote endpoint. Mastra AI keeps your local conditional logic and internal environment variables strictly isolated from the ESA API.

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