How to Use the Amadeus MCP in Mastra AI

Q: What's the best way to handle human approval for bookings using Mastra AI and the Amadeus tools?

Use Mastra's requireToolApproval feature. In your workflow, after the agent has used the Amadeus tools to find a flight and hotel, you can insert a step that requires human sign-off before proceeding. This pauses the agent and waits for confirmation.

Q: Does this MCP server support finding activities at a destination?

It does. The searchactivities tool lets your agent find tours, points of interest, and other activities for a given location. It's great for building agents that can plan a full trip itinerary, not just book the travel.

Build failure-proof travel bots and automated booking workflows on Amadeus data with Mastra AI's engine.

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Connect Amadeus MCP to Mastra AI

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Automate Resilient Flight Tracking

Build a workflow that watches flight prices and doesn't break. For example, have an agent run `get_cheapest_dates` for a specific route every day. If the price from `search_flights` drops below your target, it triggers an alert. It's a simple idea that's hard to make reliable. Mastra AI handles the hard parts. If a tool call fails because of a network blip, the engine automatically retries with exponential backoff. You just define the workflow steps after creating a `new MCPClient` and listing the tools; Mastra makes sure it actually runs.

Design Conditional Booking Sequences

Real-world booking isn't a straight line. With Mastra AI, you build workflows that can handle problems. An agent can `search_flights`, then `search_hotels`. If the preferred hotel is sold out, your workflow can branch, telling the agent to use `search_hotels_nearby` as a fallback. If that also fails, you can use `requireToolApproval` to pause the workflow and ask a human for input. This isn't just a script; it's a proper state machine for travel logistics. You're building an agent that reacts to changing conditions instead of just erroring out.

Full Travel Package Automation

Give a single agent all the tools it needs to plan a complete trip. It can find flight ideas with `get_flight_inspirations`, book the travel with `search_flights`, find a hotel with `search_hotels`, arrange a ride with `search_transfers`, and even plan the itinerary with `search_activities`. Once you've defined the agent's logic, Mastra AI lets you deploy it with a single command. This MCP Server gives your agent the live travel data it needs to operate autonomously. You build the brain, Amadeus provides the senses.

Setup guide

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

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

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

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Common questions about Amadeus MCP in Mastra AI

You don't have to do anything special. Mastra AI's workflow engine has automatic retries with exponential backoff built in. When you connect Mastra AI to the Amadeus MCP server, any tool call like `search_flights` will automatically be retried if it fails.

Yes, that's a core use case. You define a workflow where the first step calls `search_flights`. The output of that step—the chosen flight—is then passed as input to the next step, which calls `search_hotels` using the flight's arrival date and destination.

Use Mastra's `requireToolApproval` feature. In your workflow, after the agent has used the Amadeus tools to find a flight and hotel, you can insert a step that requires human sign-off before proceeding. This pauses the agent and waits for confirmation.

It does. The `search_activities` tool lets your agent find tours, points of interest, and other activities for a given location. It's great for building agents that can plan a full trip itinerary, not just book the travel.

Your agent's queries about flights, hotels, and activities are passed to the Amadeus server for processing. Each request runs in an isolated, ephemeral Vinkius sandbox that is destroyed after the request completes. Authentication is managed by your secret token, keeping your workflow's access secure.

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