About
Amadeus Flight Search Server integrates with the Amadeus Flight Offers Search API to provide real-time flight search capabilities through natural language interfaces. Key features: - Search for flights between any two locations with specific travel dates - Retrieve comprehensive flight details including departure/arrival times, airline information, and pricing - Specify passenger count and preferences for tailored search results - Supports both test and production Amadeus API endpoints via configurable environment - Built on the official amadeus-python SDK for reliable API communication
README
Amadeus MCP Server
[](https://smithery.ai/server/@donghyun-chae/mcp-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.
---
✨ 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.
---
🌐 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
`` 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
bash AMADEUS_CLIENT_ID=your_client_id AMADEUS_CLIENT_SECRET=your_client_secret AMADEUS_HOSTNAME=testThen edit.envand add your API credentials:
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" ] } } }Configuration Options:AMADEUS_CLIENT_ID: Your Amadeus API Client IDAMADEUS_CLIENT_SECRET: Your Amadeus API Client SecretAMADEUS_HOSTNAME: API endpoint to use -testfor testing (default) orproductionfor live APIClient IDSign up on https://developers.amadeus.com/ and create an app to obtain your
andClient Secret.AMADEUS_HOSTNAME=test🌐 Environment Configuration
The server supports both test and production Amadeus API endpoints:
Test Environment ( ): 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 dataAMADEUS_HOSTNAME=productionProduction Environment ( ): 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": "/Users/asena/.local/bin/uv", "args": [ "--directory", "/Users/asena/mcp-amadeus/src/", "run", "--env-file", "/Users/asena/mcp-amadeus/.env", "server.py" ] } } }> Replace/ABSOLUTE/PATH/TO/PARENT/FOLDER/with the actual path to your project folder.my case:
json { "action": "tool", "name": "search_flight_offers", "params": { "originLocationCode": "JFK", "destinationLocationCode": "LHR", "depa---search_flight_offers🛠️ Tools
After installation, the following tool is exposed to MCP clients:
AMADEUS_HOSTNAME` environment variable.Retrieves flight offers from the Amadeus Flight Offers Search API. The API endpoint (test/production) is configurable via the
Request:
Related MCP Servers
AI Research Assistant
hamid-vakilzadeh
AI Research Assistant provides comprehensive access to millions of academic papers through the Semantic Scholar and arXiv databases. This MCP server enables AI coding assistants to perform intelligent literature searches, citation network analysis, and paper content extraction without requiring an API key. Key features include: - Advanced paper search with multi-filter support by year ranges, citation thresholds, field of study, and publication type - Title matching with confidence scoring for finding specific papers - Batch operations supporting up to 500 papers per request - Citation analysis and network exploration for understanding research relationships - Full-text PDF extraction from arXiv and Wiley open-access content (Wiley TDM token required for institutional access) - Rate limits of 100 requests per 5 minutes with options to request higher limits through Semantic Scholar
Linkup
LinkupPlatform
Linkup is a real-time web search and content extraction service that enables AI assistants to search the web and retrieve information from trusted sources. It provides source-backed answers with citations, making it ideal for fact-checking, news gathering, and research tasks. Key features of Linkup: - Real-time web search using natural language queries to find current information, news, and data - Page fetching to extract and read content from any webpage URL - Search depth modes: Standard for direct-answer queries and Deep for complex research across multiple sources - Source-backed results with citations and context from relevant, trustworthy websites - JavaScript rendering support for accessing dynamic content on JavaScript-heavy pages
Math-MCP
EthanHenrickson
Math-MCP is a computation server that enables Large Language Models (LLMs) to perform accurate numerical calculations through the Model Context Protocol. It provides precise mathematical operations via a simple API to overcome LLM limitations in arithmetic and statistical reasoning. Key features of Math-MCP: - Basic arithmetic operations: addition, subtraction, multiplication, division, modulo, and bulk summation - Statistical analysis functions: mean, median, mode, minimum, and maximum calculations - Rounding utilities: floor, ceiling, and nearest integer rounding - Trigonometric functions: sine, cosine, tangent, and their inverses with degrees and radians conversion support