How to Use the Amadeus MCP in OpenAI Agents SDK

Book travel directly in your OpenAI Agents SDK production pipeline using the Amadeus MCP Server.

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Connect Amadeus MCP to OpenAI Agents SDK

Create your Vinkius account to connect Amadeus to OpenAI Agents SDK 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 Amadeus with OpenAI Agents SDK

Ask AI about this MCP

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Real-time flight search for OpenAI Agents SDK

Your agent queries live airline inventory without leaving your Python environment. It hits `search_flights` to pull current pricing and availability across hundreds of carriers. You avoid manual parsing by letting the SDK handle the JSON response directly. This keeps your agent logic focused on the booking flow rather than data formatting.

Dynamic hotel inventory within OpenAI Agents SDK

Find lodging options by calling `search_hotels` or `search_hotels_nearby` based on your user's specific coordinates. Your agent gets back clean data ready for immediate decision-making. The server returns precise details that plug straight into your agent's context. You get the exact property info needed to suggest stays without hallucinations.

Ground your OpenAI Agents SDK in travel logistics

Stop guessing about airport codes or airline schedules. The `search_airports` and `get_flight_status` tools provide the raw facts your agent requires to build accurate itineraries. Your system maintains full traceability through the OpenAI dashboard as it executes these calls. Every step taken by the agent is logged and verifiable against the actual API output.

Setup guide

Set up Amadeus MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Amadeus tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Amadeus tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Amadeus tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Amadeus Agent",
            instructions="You have access to Amadeus tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Amadeus MCP in OpenAI Agents SDK

You instantiate an MCPServerStreamableHttp object with your endpoint. Pass that into your agent constructor, and the tools show up automatically.

Yes, you should implement standard Python exception handling around your agent calls. The SDK allows you to wrap tool execution with custom logic to manage retries.

You can set cacheToolsList to True in your configuration. This stores the tool definitions locally to speed up your agent's initial startup time.

Vinkius handles the underlying authentication for your MCP Server. Your keys never touch the agent code itself, keeping them isolated in our sandbox.

We only pass flight and hotel booking parameters to the Amadeus API. No personal identifiers are stored or logged by our infrastructure during these requests.

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