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# Amadeus MCP Server [![smithery badge](https://smithery.ai/badge/@donghyun-chae/mcp-amadeus)](https://smithery.ai/server/@donghyun-chae/mcp-amadeus) **MCP-Amadeus is a community-developed [Model Context Protocol (MCP)](https://github.com/modelcontextprotocol) 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](https://github.com/amadeus4dev/amadeus-python) > **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 - Configurable test/production endpoints - Requires origin, destination, number of tickets and travel date input --- ## 🌐 Demo Once installed and connected to an MCP-compatible client (e.g., [Claude Desktop](https://claude.ai/download)), this server exposes tools that your AI assistant can use to fetch flight data. ![amadeus-mcp](https://github.com/user-attachments/assets/7cbf9dd0-aa9f-4554-8891-70a394d657a5) --- ## 🚀 Quick Start ### Installing via Smithery To install Amadeus MCP Server for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@donghyun-chae/mcp-amadeus): ```bash npx -y @smithery/cli install @donghyun-chae/mcp-amadeus --client claude ``` ### 1. Clone and Setup ``` bash 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 ``` bash cp .env.example .env ``` Then edit `.env` and add your API credentials: ``` bash AMADEUS_CLIENT_ID=your_client_id AMADEUS_CLIENT_SECRET=your_client_secret AMADEUS_HOSTNAME=test ``` **Configuration Options:** - `AMADEUS_CLIENT_ID`: Your Amadeus API Client ID - `AMADEUS_CLIENT_SECRET`: Your Amadeus API Client Secret - `AMADEUS_HOSTNAME`: API endpoint to use - `test` for testing (default) or `production` for live API Sign up on [https://developers.amadeus.com/](https://developers.amadeus.com/) and create an app to obtain your `Client ID` and `Client Secret`. ### 🌐 Environment Configuration The server supports both **test** and **production** Amadeus API endpoints: - **Test Environment** (`AMADEUS_HOSTNAME=test`): Use this for development and testing. The test environment provides: - Free API access with test data - No charges for API requests - Limited to test flight data - **Production Environment** (`AMADEUS_HOSTNAME=production`): Use this for live applications. The production environment provides: - Real, live flight data - Pay-per-request pricing - Full access to all Amadeus services > ⚠️ **Important**: Always use the test environment during development. Switch to production only when your application is ready for live data and you understand the associated costs. ### 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: ``` bash { "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: ``` bash { "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: ### `search_flight_offers` Retrieves flight offers from the Amadeus Flight Offers Search API. The API endpoint (test/production) is configurable via the `AMADEUS_HOSTNAME` environment variable. **Request:** ``` json { "action": "tool", "name": "search_flight_offers", "params": { "originLocationCode": "JFK", "destinationLocationCode": "LHR", "departureDate": "2025-06-15", "adults": 1 } } ``` **Parameters:** | Name | Type | Required | Description | Example | |--------------------------|----------|----------|-----------------------------------------------|----------------| | originLocationCode | string | Yes | IATA code of departure city/airport | JFK | | destinationLocationCode | string | Yes | IATA code of destination city/airport | LHR | | departureDate | string | Yes | Departure date (YYYY-MM-DD) | 2025-06-15 | | adults | integer | Yes | Number of adults (1-9). Default: 1 | 2 | | returnDate | string | No | Return date (YYYY-MM-DD). One-way if omitted | 2025-06-20 | | children | integer | No | Number of children (2-11). Max total: 9 | 1 | | infants | integer | No | Number of infants (≤2). Max: # of adults | 1 | | travelClass | string | No | Cabin class: ECONOMY, BUSINESS, etc. | ECONOMY | | nonStop | boolean | No | If true, only non-stop flights. Default: false| true | | currencyCode | string | No | Currency in ISO 4217 (e.g., USD) | EUR | | maxPrice | 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 - [Model Context Protocol Python SDK](https://github.com/modelcontextprotocol/python-sdk) - [Amadeus Python SDK](https://github.com/amadeus4dev/amadeus-python) - [Amadeus API Documentation](https://developers.amadeus.com/) --- ## 📝 License [MIT License](LICENSE) © 2025 [donghyun-chae](https://github.com/donghyun-chae)

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