by donghyun-chae
The mcp-amadeus is a community-developed Model Context Protocol (MCP) server that integrates with the Amadeus Flight Offers Search API. It enables AI assistants to access and retrieve detailed flight options through natural language queries.
mcp-amadeus is a community-developed Model Context Protocol (MCP) server that integrates with the Amadeus Flight Offers Search API. It enables AI assistants, particularly those compatible with MCP clients like Claude Desktop, to access and retrieve detailed flight options through natural language queries.
To use mcp-amadeus, you can either install it via Smithery using npx -y @smithery/cli install @donghyun-chae/mcp-amadeus --client claude
or by cloning the repository, installing dependencies (uv sync
), setting up your Amadeus API keys in a .env
file, and configuring your MCP client (e.g., Claude Desktop) to run the server. Once set up, your AI assistant can utilize the exposed get_flight_offers
tool.
get_flight_offers
tool requires origin
, destination
, and departure_date
. Optional parameters include return_date
, adults
, children
, infants
, travel_class
, non_stop
, currency_code
, max_price
, and max
number of offers.get_flight_offers
tool provide? It returns flight offers in JSON format, including airline, times, duration, and pricing details from Amadeus.MCP-Amadeus is a community-developed Model Context Protocol (MCP) server that integrates with the Amadeus Flight Offers Search API to provide flight search capabilities through natural language interfaces. Built for use with MCP-compatible clients (e.g., Claude Desktop).
This project enables users to easily search for flight options between two locations with specific dates using the power of large language models (LLMs) and the Amadeus API.
This project uses the official amadeus-python SDK
Disclaimer: This is an open-source project not affiliated with or endorsed by Amadeus IT Group. Amadeus® is a registered trademark of Amadeus IT Group.
Retrieve flight options between two locations for specified dates.
"I'm looking for nonstop flights from New York to London on June 15th, any airline, for 1 adult."
→ ✈️ Returns available flight options with details like departure time, arrival time, airline, and price.
Once installed and connected to an MCP-compatible client (e.g., Claude Desktop), this server exposes tools that your AI assistant can use to fetch flight data.
To install Amadeus MCP Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @donghyun-chae/mcp-amadeus --client claude
git clone https://github.com/donghyun-chae/mcp-amadeus.git
cd mcp-amadeus-flight-offers
# Install dependencies (using uv or pip)
uv sync
cp .env.example .env
Then edit .env
and add your API credentials:
AMADEUS_CLIENT_ID=your_client_id
AMADEUS_CLIENT_SECRET=your_client_secret
Sign up on https://developers.amadeus.com/ and create an app to obtain your Client ID
and Client Secret
.
Register this server in your MCP client (e.g., Claude for Desktop).
Edit ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"amadeus": {
"command": "/ABSOLUTE/PATH/TO/PARENT/FOLDER/uv",
"args": [
"--directory",
"/ABSOLUTE/PATH/TO/PARENT/FOLDER/src/",
"run",
"--env-file",
"/ABSOLUTE/PATH/TO/PARENT/FOLDER/.env",
"server.py"
]
}
}
}
Replace
/ABSOLUTE/PATH/TO/PARENT/FOLDER/
with the actual path to your project folder.
my case:
{
"mcpServers": {
"amadeus": {
"command": "/Users/asena/.local/bin/uv",
"args": [
"--directory",
"/Users/asena/mcp-amadeus/src/",
"run",
"--env-file",
"/Users/asena/mcp-amadeus/.env",
"server.py"
]
}
}
}
After installation, the following tool is exposed to MCP clients:
get_flight_offers
Retrieves flight offers from the Amadeus Flight Offers Search API.
Request:
{
"action": "tool",
"name": "get_flight_offers",
"params": {
"origin": "JFK",
"destination": "LHR",
"departure_date": "2025-06-15"
}
}
Parameters:
Name | Type | Required | Description | Example |
---|---|---|---|---|
origin | string | Yes | IATA code of departure city/airport | JFK |
destination | string | Yes | IATA code of destination city/airport | LHR |
departure_date | string | Yes | Departure date (YYYY-MM-DD) | 2025-06-15 |
return_date | string | No | Return date (YYYY-MM-DD). One-way if omitted | 2025-06-20 |
adults | integer | Yes | Number of adults (1-9). Default: 1 | 2 |
children | integer | No | Number of children (2-11). Max total: 9 | 1 |
infants | integer | No | Number of infants (≤2). Max: # of adults | 1 |
travel_class | string | No | Cabin class: ECONOMY, BUSINESS, etc. | ECONOMY |
non_stop | boolean | No | If true, only non-stop flights. Default: false | true |
currency_code | string | No | Currency in ISO 4217 (e.g., USD) | EUR |
max_price | integer | No | Max price per traveler | 500 |
max | integer | No | Max number of offers. Default: 250 | 10 |
Output: Returns flight offers in JSON format with airline, times, duration, and pricing details from Amadeus.
MIT License © 2025 donghyun-chae
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