Amadeus is the world's largest GDS (Global Distribution System) — powering $18B+ in revenue. 400+ airlines, 150,000+ hotels, car rentals, and experiences all accessible via REST API.

Amadeus MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: Amadeus
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Amadeus as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Amadeus. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Amadeus?"
    )
    print(response)

asyncio.run(main())

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About Amadeus MCP Server

Connect the Amadeus global travel platform to any AI agent — the backbone of the travel industry.

LlamaIndex agents combine Amadeus tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

Flights — Search, compare prices, airlines, durations, stops, and cabin classes
Hotels — Find hotels by city or GPS coordinates with rates and availability
Transfers — Airport pickup and point-to-point transfer quotes
Activities — Tours, experiences, and things to do at any destination
Inspirations — Discover cheapest destinations from any airport
Flight Status — Real-time schedules, terminals, and gates

The Amadeus MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Amadeus to LlamaIndex via MCP

Follow these steps to integrate the Amadeus MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Amadeus

Why Use LlamaIndex with the Amadeus MCP Server

LlamaIndex provides unique advantages when paired with Amadeus through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Amadeus tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Amadeus tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Amadeus, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Amadeus tools were called, what data was returned, and how it influenced the final answer

Amadeus + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Amadeus MCP Server delivers measurable value.

Hybrid search: combine Amadeus real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Amadeus to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Amadeus for fresh data

Analytical workflows: chain Amadeus queries with LlamaIndex's data connectors to build multi-source analytical reports

Amadeus MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Amadeus to LlamaIndex via MCP:

get_airline_info

Get airline information

get_cheapest_dates

"When is the cheapest to fly NYC to London?" Get cheapest flight dates

get_flight_inspirations

"Where can I fly cheaply from Paris?" Get flight inspirations

get_flight_status

Get flight schedule

search_activities

"What to do in Barcelona?" Search destination activities

search_airports

"What is the airport code for Tokyo?" Search airports and cities

search_flights

"Find flights from Paris to New York next week." Search flight offers

search_hotels

"Find hotels in London for next weekend." Search hotel offers

search_hotels_nearby

For "hotels near Eiffel Tower." Search hotels near coordinates

search_transfers

Search airport transfers

Example Prompts for Amadeus in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Amadeus immediately.

"Find the cheapest flights from Paris to New York next week for 2 passengers"

Troubleshooting Amadeus MCP Server with LlamaIndex

Common issues when connecting Amadeus to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Amadeus + LlamaIndex FAQ

Common questions about integrating Amadeus MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Amadeus tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.