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SecurityAuto-generatedScore: 28

Flight Availibilities Search MCP Server

The Flight Availabilities Search API, provided by Amadeus for Developers, is a powerful, real-time data service designed to query the current inventory of available flight offers based on specific passenger demand.

Quick Start Summary

The Flight Availibilities Search MCP server is a Model Context Protocol bridge that connects AI assistants — including Claude Desktop, Cursor, Windsurf, and VS Code Copilot — to the Flight Availibilities Search API through natural language. It exposes 1 API endpoints as callable tools, such as Return list of Flight Availabilities based on posted searching criteria.. No authentication is required — setup takes approximately 30 seconds. The server uses STDIO transport and can be installed by running npx -y @mcp/amadeus-com-amadeus-flight-availabilities-search. This integration is sourced from the auto Flight Availibilities Search OpenAPI specification (v1.0.2) and has a quality score of 28/99 (fair documentation coverage).

1Endpointstools mapped
NoneAuthopen access
28/99Qualityfair
~30 secSetupno auth

Server Details

Category
Security
Authentication
None
Endpoints
1 operations
Transport
STDIO
Spec Version
v1.0.2
Install Command
npx -y @mcp/amadeus-com-amadeus-flight-availabilities-search

Environment Variables

FLIGHT_AVAILIBILITIES_SEARCH_API_KEY

Example: your_flight_availibilities_search_api_key

Top Endpoints

POST
/shopping/availability/flight-availabilities

Return list of Flight Availabilities based on posted searching criteria.

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📖 Detailed MCP Integration Guide

A technical breakdown of capabilities, agent workflows, and security/configuration best practices.

Capabilities & Use Cases
The Flight Availabilities Search API, provided by Amadeus for Developers, is a powerful, real-time data service designed to query the current inventory of available flight offers based on specific passenger demand. This POST-based endpoint, located at /shopping/availability/flight-availabilities, moves beyond basic schedule or price information to deliver concrete, shoppable flight options. It calculates availability by considering the number of requested adult, child, and infant passengers and returns specific cabin class availability (e.g., ECONOMY, PREMIUM_ECONOMY, BUSINESS, FIRST) for a given date and itinerary. This makes it a critical tool for building sophisticated travel booking applications, corporate travel management platforms, and consumer-facing flight search engines that require up-to-the-minute, actionable seat availability to complete a reservation. The API transforms a travel intent—such as "two adults from London to New York on July 15th"—into a confirmed, purchasable product.
🤖AI Agent Value
When integrated as a tool via the Model Context Protocol (MCP) server for an AI coding assistant, this API unlocks significant agentic capabilities. It allows a developer's AI companion to act as a dynamic travel research agent, directly interfacing with live airline inventory data. The AI can programmatically validate the feasibility of a travel plan, perform real-time feasibility checks during automated itinerary generation, or power a conversational bot that instantly answers complex availability questions like, "Are there business class seats for four passengers from Paris to Tokyo next Friday?" The value lies in bridging the gap between high-level user requests and the technical execution of inventory queries, enabling the AI to generate, test, and refine travel solutions with live data, thereby accelerating development cycles for travel-tech applications and reducing the need for developers to manually orchestrate API calls during the coding process.
💬Example Workflows
A developer can instruct an AI agent connected to this MCP server to execute a range of practical, dynamic tasks. For instance, the agent can "query real-time flight availabilities from Madrid to Singapore for a family of two adults and one child across all cabins for December 20th to find the optimal combination of price and comfort." It can "automate the validation of a proposed itinerary by checking seat availability for each leg 24 hours before departure and flag any risk of overselling." The agent could also "dynamically generate multiple flight option modules by querying different date combinations (±1 day) around a user's preferred travel date and structuring the results into a comparative table." Finally, it can "integrate with a flight search UI to auto-populate available direct flights when a user modifies their travel party size in real-time."
🛡️Security & Auth
Critical to the secure and effective setup of this server is a strict adherence to Amadeus's OAuth 2.0 security model. Despite the endpoint listing no specific authentication method, the service is accessed via a Bearer token obtained through the client credentials flow outlined in the mandatory Authorization Guide. Developers must store their API key and secret securely in environment variables or a secrets manager, never in source code. Applying the principle of least privilege is essential; API keys should be provisioned with only the specific permissions required for flight availability searches, and usage quotas should be monitored. Configuration should involve setting appropriate timeouts to handle real-time query latency and implementing robust error handling to manage cases where no availability exists for the requested parameters. It is also vital to note that the test environment provides only a subset of production data and should be used exclusively for development and validation, not for live pricing or booking.

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