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SecurityAuto-generatedScore: 28

Tours and Activities MCP Server

The Tours and Activities API, provided by Amadeus, is a powerful service designed to give developers real-time access to a global catalog of tours, activities, and experiences available at travel destinations worldwide.

Quick Start Summary

The Tours and Activities MCP server is a Model Context Protocol bridge that connects AI assistants — including Claude Desktop, Cursor, Windsurf, and VS Code Copilot — to the Tours and Activities API through natural language. It exposes 3 API endpoints as callable tools, such as Returns Activities around a given location, Returns Activities around a given location, Retrieve one activity by its id. 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-tours-and-activities. This integration is sourced from the auto Tours and Activities OpenAPI specification (v1.0.2) and has a quality score of 28/99 (fair documentation coverage).

3Endpointstools mapped
NoneAuthopen access
28/99Qualityfair
~30 secSetupno auth

Server Details

Category
Security
Authentication
None
Endpoints
3 operations
Transport
STDIO
Spec Version
v1.0.2
Install Command
npx -y @mcp/amadeus-com-amadeus-tours-and-activities

Environment Variables

TOURS_AND_ACTIVITIES_API_KEY

Example: your_tours_and_activities_api_key

Top Endpoints

GET
/shopping/activities

Returns Activities around a given location

GET
/shopping/activities/by-square

Returns Activities around a given location

GET
/shopping/activities/{activityId}

Retrieve one activity by its id

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📖 Detailed MCP Integration Guide

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

Capabilities & Use Cases
The Tours and Activities API, provided by Amadeus, is a powerful service designed to give developers real-time access to a global catalog of tours, activities, and experiences available at travel destinations worldwide. Its core capabilities center on discovery and retrieval, enabling users to search for local attractions, sightseeing tours, day trips, and unique experiences based on location, dates, or specific activity IDs. This API is indispensable for a wide range of enterprise and consumer use cases, including travel and hospitality platforms seeking to enhance their offerings with ancillary services, mobile apps focused on trip planning, and corporate travel management tools that want to provide employees with curated leisure options. By aggregating data from numerous tour operators, it eliminates the need for individual partnerships, offering a single point of access to a diverse and dynamic inventory of activities.
🤖AI Agent Value
When exposed as tools to an AI coding assistant via the Model Context Protocol (MCP), this API transforms from a simple data endpoint into a proactive, context-aware component within a developer's intelligent workflow. The primary value lies in enabling the AI agent to dynamically incorporate real-world, location-specific data directly into code generation, debugging, or feature prototyping. Instead of a developer manually searching for sample activity data to populate a UI mock-up or testing a booking system's data schema, the AI can instantly fetch authentic, structured information from the API. This dramatically accelerates development cycles, reduces context-switching, and allows for the creation of more realistic and functional prototypes, as the AI can generate code that handles actual response structures, error states, and filtering logic based on live data samples.
💬Example Workflows
Within an MCP-enabled environment, a developer can instruct the AI coding assistant to perform a variety of dynamic, context-rich tasks. For example, a command such as "Help me build a React component that displays a carousel of the top-rated tours in Barcelona for next weekend; use the Tours and Activities API to fetch the real data" would allow the AI to query the GET /shopping/activities endpoint, parse the JSON response, and generate component code that maps over the actual activity objects. Similarly, a request to "Create a Python function that filters all available wine tours in a given geographic square and returns their prices and booking URLs" would prompt the AI to utilize the GET /shopping/activities/by-square endpoint and produce a functional data processing function. The AI could also be instructed to "Debug why this activity detail page is broken by fetching the data for activity ID 1234 and inspecting its structure," leveraging the GET /shopping/activities/{activityId} endpoint to provide the precise payload for analysis.
🛡️Security & Auth
While the API reference may note "None" for authentication in certain contexts, production usage fundamentally requires an OAuth 2.0 access token as detailed in the Amadeus Authorization Guide. Therefore, developers must securely manage their API key and secret, never exposing them in client-side code or public repositories. When setting up an MCP server, it is critical to inject credentials securely into the server environment, adhering to the principle of least privilege by ensuring the API credentials used have only the scopes necessary for the specific tools being exposed. Furthermore, developers should implement robust error handling in the MCP server to gracefully manage API rate limits, invalid parameters, or temporary outages, ensuring the AI assistant's workflow remains resilient and informative even when external data services are unavailable.

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