How to Use the Netrows MCP in Mastra AI

Automate complex logistics workflows with Mastra AI and the Netrows MCP Server. Build resilient agents that handle flight disruptions.

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Connect Netrows MCP to Mastra AI

Create your Vinkius account to connect Netrows 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 Netrows with Mastra AI

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Claude

Perplexity

Automate airline operations with Mastra AI

Create agents that monitor airline fleets using `get_airline_flights`. If a flight is delayed or cancelled, your workflow can trigger automated rebooking or notification logic. This setup allows you to build self-healing systems that react to changing flight schedules. You define the logic, and the agent handles the data retrieval automatically.

Build multi-step airport logistics pipelines

Use `search_airports` and `get_airport_flights` to chain together complex operational tasks. Your workflow can identify all flights at a hub and then filter them based on specific criteria. This structure is ideal for managing passenger pickup or ground handling. By automating these sequences, you reduce the manual effort required to track airport activity.

Implement robust error handling for flight data

Leverage the built-in workflow engine to manage API rate limits. If a tool call fails, your Mastra agent can automatically retry or log the error for later review. This keeps your data pipeline running even during peak traffic. You get a reliable stream of information for your operational dashboards without constant manual oversight.

Setup guide

Set up Netrows 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 Netrows 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: "netrows-mcp-client",
  servers: {
    "netrows-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Netrows transactions"
);
console.log(result.text);

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Common questions about Netrows MCP in Mastra AI

You can enable manual approval for specific sensitive actions. This ensures an agent only executes a flight search or data query after you confirm the intent.

Yes, once the agent receives a flight update, it can branch into any workflow you define. This allows for conditional actions based on real-time status changes.

The tools integrate directly into your agent definition. Any data retrieved is immediately available to your agent's memory for subsequent steps.

You define the retry policy within your agent configuration file. This handles temporary network issues when calling the aviation endpoints.

Your account credit information remains isolated within the server connection. Only the agent has access to query `get_account_usage` for monitoring purposes.

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