How to Use the AeroAPI (FlightAware) MCP in Mastra AI

Q: How do I register the AeroAPI (FlightAware) MCP Server tools in a Mastra AI agent?

Start by installing @mastra/mcp@latest and creating a new MCPClient pointing to your Vinkius HTTP URL. Call mcpClient.listTools() to retrieve the available flight tracking tools, then spread them into your agent's tool array. The agent will immediately know how to execute flight searches and retrieve airport details.

Q: Can I use AeroAPI (FlightAware) tools within a conditional Mastra AI workflow?

Yes, you can use getflightdetails as a step inside a Mastra workflow to make routing decisions. For example, you can write a branch that checks the arrival status and triggers an alert if a flight is delayed by more than thirty minutes. This lets you build complex tracking pipelines without writing custom polling loops.

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Connect AeroAPI (FlightAware) MCP to Mastra AI

Create your Vinkius account to connect AeroAPI (FlightAware) 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 AeroAPI (FlightAware) with Mastra AI

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Auto-Retry Flight Lookups with Mastra AI

`get_flight_details` serves as the foundation for multi-step workflows that monitor active transponders. If a flight lookup fails due to rate limits, Mastra's built-in retry engine automatically backs off and retries the query without crashing your process. You define this logic inside a standard workflow, passing the output of `get_flight_details` to subsequent notification steps. The agent handles the logic of checking arrival statuses and executing conditional steps based on the returned touchdown times.

Conditional Routing via MCP Server

`list_airport_flights` allows your automated workflows to scan for weather delays at specific hubs. When the volume of delayed arrivals exceeds your threshold, the workflow triggers conditional branches to reroute logistics or alert operations teams. Setting up this MCP server inside Mastra requires passing the Vinkius URL to your `MCPClient` configuration. The workflow engine maps the outputs of `get_airport_details` directly to your agent's decision steps, keeping your code clean and declarative.

Secure Flight Queries with Human-in-the-Loop

`search_flights` lets your agents look up tail numbers and routes while respecting strict access controls. By setting `requireToolApproval` on the tool execution, you ensure a human verifies the search query before the API call runs. This mechanism prevents unauthorized queries and protects your API quota from runaway agent loops. The agent searches for the flight details only after receiving the explicit green light from your dashboard interface.

Setup guide

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

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

const result = await agent.generate(
  "List recent AeroAPI (FlightAware) 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 AeroAPI (FlightAware). 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 AeroAPI (FlightAware) MCP in Mastra AI

Start by installing `@mastra/mcp@latest` and creating a new `MCPClient` pointing to your Vinkius HTTP URL. Call `mcpClient.listTools()` to retrieve the available flight tracking tools, then spread them into your agent's tool array. The agent will immediately know how to execute flight searches and retrieve airport details.

Yes, you can use `get_flight_details` as a step inside a Mastra workflow to make routing decisions. For example, you can write a branch that checks the arrival status and triggers an alert if a flight is delayed by more than thirty minutes. This lets you build complex tracking pipelines without writing custom polling loops.

Network hiccups are handled by Mastra's built-in exponential backoff system when executing `check_api_status` or other tools. If the API endpoint is temporarily unreachable, the client retries the call at increasing intervals before throwing an error. This keeps your automated aviation workflows running smoothly during minor outages.

No, the Mastra client automatically detects the transport type, whether it is SSE or Streamable HTTP. You only need to supply the endpoint URL provided in your Vinkius dashboard. The library manages the underlying connection details so your agent can focus on querying flight data.

The integration runs in an ephemeral, zero-trust sandbox that processes flight numbers and airport codes without persisting them. Vinkius routes your requests using a single endpoint token, ensuring your internal tracking queries never leak to the public. No flight identifiers or search terms are cached on the host platform.

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