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
Crawleo MCP Server
Crawleo MCP - Web Search & Crawl for AI Enable AI assistants to access real-time web data through native tool integration. Two Powerful Tools: web.search - Real-time web search with flexible formatting Search from any country/language Device-specific results (desktop, mobile, tablet) Multiple output formats: Enhanced HTML (AI-optimized, clean) Raw HTML (original source) Markdown (formatted text) Plain Text (pure content) Auto-crawl option for full content extraction Multi-page search support web.crawl - Deep content extraction Extract clean content from any URL JavaScript rendering support Markdown conversion Screenshot capture Multi-URL support Features: ✅ Zero data retention (complete privacy) ✅ Real-time, not cached results ✅ AI-optimized with Enhanced HTML mode ✅ Global coverage (any country/language) ✅ Device-specific search (mobile/desktop/tablet) ✅ Flexible output formats (4 options) ✅ Cost-effective (5-10x cheaper than competitors) ✅ Simple Claude Desktop integration Perfect for: Research, content analysis, data extraction, AI agents, RAG pipelines, multi-device testing
Open Custom Search API
Perform web searches using Google's Custom Search API.
Memex Targeted Search Server
Performs targeted searches across Memex conversation history and project files.
BGPT MCP API
Search scientific papers from any MCP tool. Raw experimental data from full-text papers — methods, results, quality scores. 50 free searches, then $0.01/result.
Solodit Search
Search and retrieve Solodit vulnerability reports.
Gaode Map POI
Provides geolocation and nearby POI (Point of Interest) information using the Gaode Map API.
TMDB MCP Server
Access movie information, search, and recommendations from The Movie Database (TMDB) API.
Vectorize
Vectorize MCP server for advanced retrieval, Private Deep Research, Anything-to-Markdown file extraction and text chunking.
Agentset
RAG MCP for your Agentset data.
RAG Documentation
Retrieve and process documentation using vector search to provide context for AI assistants.