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SecurityAuto-generatedScore: 28

Hotel Search API MCP Server

The Hotel Search API, provided by Amadeus for Developers, is a powerful programmatic interface designed to query, retrieve, and compare real-time hotel pricing and availability data on a global scale.

Quick Start Summary

The Hotel Search API MCP server is a Model Context Protocol bridge that connects AI assistants — including Claude Desktop, Cursor, Windsurf, and VS Code Copilot — to the Hotel Search API API through natural language. It exposes 2 API endpoints as callable tools, such as getMultiHotelOffers, getOfferPricing. 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-hotel-search. This integration is sourced from the auto Hotel Search API OpenAPI specification (v3.0.8) and has a quality score of 28/99 (fair documentation coverage).

2Endpointstools mapped
NoneAuthopen access
28/99Qualityfair
~30 secSetupno auth

Server Details

Category
Security
Authentication
None
Endpoints
2 operations
Transport
STDIO
Spec Version
v3.0.8
Install Command
npx -y @mcp/amadeus-com-amadeus-hotel-search

Environment Variables

HOTEL_SEARCH_API_API_KEY

Example: your_hotel_search_api_api_key

Top Endpoints

GET
/shopping/hotel-offers

getMultiHotelOffers

GET
/shopping/hotel-offers/{offerId}

getOfferPricing

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📖 Detailed MCP Integration Guide

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

Capabilities & Use Cases
The Hotel Search API, provided by Amadeus for Developers, is a powerful programmatic interface designed to query, retrieve, and compare real-time hotel pricing and availability data on a global scale. Its core capability lies in the ability to search for accommodation options across a vast network of hotel properties worldwide, returning rich, structured data that includes room types, available rates, inclusions (such as breakfast or free cancellation), and detailed stay conditions. This API is typically consumed by enterprise-grade travel management companies, online travel agencies (OTAs), and corporate travel booking systems to power their inventory and pricing engines. Consumer use cases also abound, such as within meta-search travel applications or custom trip planning tools that require embedded hotel search functionality. By abstracting the complexity of connecting to multiple Global Distribution Systems (GDS) and direct hotel connectivity, it serves as a unified data layer for building sophisticated travel shopping experiences.
🤖AI Agent Value
Exposing this API as a tool within a Model Context Protocol (MCP) server unlocks significant value for AI coding assistants like Claude Desktop, Cursor, or Cline. This integration transforms a static API into a dynamic, queryable knowledge base that an AI agent can leverage contextually during development. Instead of a developer manually consulting API documentation, writing boilerplate code, or switching contexts to test requests, they can instruct the AI agent in natural language to perform tasks like "Find the three cheapest hotels with a pool in Paris for next weekend." The AI agent, utilizing the MCP server, can then directly invoke the API endpoints, parse the complex JSON responses, and present the curated information. This creates a seamless development workflow where the AI acts as a knowledgeable partner, capable of real-time data retrieval to inform code generation, debugging, and prototyping, thereby drastically reducing development friction and accelerating the integration process.
💬Example Workflows
Within this MCP ecosystem, developers can instruct the AI agent to perform a variety of dynamic, context-rich tasks. For example, a developer could command, "Query hotel rates for my user's proposed itinerary in Tokyo and update the mock data in my booking component." The AI agent would execute the necessary API calls to /shopping/hotel-offers, extract relevant pricing and policy data, and then automatically update the specified file in the codebase. Another instructive workflow could be: "Compare the available breakfast-inclusive rates from two specific hotel offers and generate a summary table in my project's documentation." The agent would use the /shopping/hotel-offers/{offerId} endpoint to fetch detailed data for each offer, perform the comparison, and write the results. This allows for automated testing against live data, dynamic documentation generation, and the creation of more intelligent, data-aware development assistants.
🛡️Security & Auth
Critical to the implementation of this MCP server is the strict adherence to security and authentication protocols, despite the endpoint listing indicating "None." In practice, the Amadeus Hotel Search API requires a bearer token for authorization, as detailed in the referenced Authorization Guide. The "None" designation likely refers to the absence of user-based OAuth but does not negate the need for a machine-to-machine access token. Developers must securely manage their API key and secret, obtaining a temporary OAuth 2.0 access token before making requests. A key security best practice is to apply the principle of least privilege by using test environment credentials during development and ensuring production tokens are stored securely (e.g., in environment variables or secret managers) and never committed to source code. Configuration guidelines for the MCP server should mandate the use of the test environment for sandboxed operations and provide clear mechanisms for token lifecycle management and error handling related to authentication failures.

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