Amadeus MCP Server
Search for flight offers using the Amadeus Flight Offers Search API.
Amadeus MCP Server
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.
✨ Features
✈️ Flight Offers Search
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.
- Powered by Amadeus Flight Offers Search API
- Requires origin, destination, number of tickets and travel date input
🌐 Demo
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.
🚀 Quick Start
Installing via Smithery
To install Amadeus MCP Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @donghyun-chae/mcp-amadeus --client claude
1. Clone and Setup
git clone https://github.com/donghyun-chae/mcp-amadeus.git
cd mcp-amadeus-flight-offers
# Install dependencies (using uv or pip)
uv sync
2. Get Your API Key and Set Environment
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.
3. Configure MCP Client
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"
]
}
}
}
🛠️ Tools
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.
📚 References
📝 License
MIT License © 2025 donghyun-chae
Máy chủ liên quan
Manalink MCP Server
An MCP server implementation for Manalink that allows AI assistants to use functions like teacher search.
Amazon Product Search
An AI-powered server for Amazon product search and recommendations.
General MCP Server
An MCP server providing search capabilities for Reddit, YouTube, and Twitter.
QuantConnect Docs
An MCP server for intelligent search and retrieval of QuantConnect PDF documentation.
Perplexity
Web search using the Perplexity API with automatic model selection based on query intent.
Java Conferences MCP Server
Provides information about Java conferences worldwide by parsing data from the javaconferences.github.io repository.
Jina AI Search
Perform semantic, image, and cross-modal searches using Jina AI's neural search capabilities.
arXiv Search
A server for searching academic papers and preprints on arXiv.org.
Langflow Document Q&A Server
A document question-and-answer server powered by Langflow.
Kagi Search
Web search using the Kagi Search API