Amadeus MCP server

The Amadeus MCP Server provides flight search, booking, and analysis capabilities for AI assistants through the Amadeus API. It enables AI systems to find flights, analyze prices, search airports, and provide travel recommendations using the Model Context Protocol.

Prerequisites

• Node.js 16.x or higher
• Amadeus API credentials (Client ID and Secret)

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/amadeus-mcp-server.git
   cd amadeus-mcp-server
   

2. Install dependencies:

   npm install
   

3. Create a .env file in the root directory with your Amadeus API credentials:

   AMADEUS_CLIENT_ID=your_client_id
   AMADEUS_CLIENT_SECRET=your_client_secret
   

Running the Server

Build and start the server:

npm run build
npm start

For development mode:

npm run dev

Available Tools

The MCP server provides several tools that can be used by AI assistants:

Flight Search

Search for flights between airports with various parameters using the search-flights tool.

Airport Information

Find airports by keyword, city name, or IATA code with the search-airports tool.

Price Analysis

Use the flight-price-analysis tool to determine if current prices are high or low for specific routes.

Flight Details

Get comprehensive information about specific flight offers with the get-flight-details tool.

Finding Cheapest Dates

Identify the most economical travel dates for a route with the find-cheapest-dates tool.

Pre-configured Prompts

The server includes ready-to-use prompts for common travel planning scenarios:

• Analyze Flight Prices (analyze-flight-prices): Get insights on pricing trends for a route
• Find Best Deals (find-best-deals): Discover optimal flight options for specific routes and dates
• Plan Multi-City Trip (plan-multi-city-trip): Create comprehensive multi-city itineraries
• Find Cheapest Travel Dates (find-cheapest-travel-dates): Locate the most economical travel periods

Integration with AI Assistants

To use this MCP server with OpenAI's Assistant API or other compatible AI systems, configure the assistant to connect to this server's endpoint. The server provides schema resources for flight offers (schema://flight-offers) and airports (schema://airports) that can be used by the AI assistant.

How to add this MCP server to Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "cursor-rules-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "cursor-rules-mcp"
            ]
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.