Azure Ai Travel Agents
A robust enterprise application sample (deployed on ACA) that leverages MCP and multiple AI agents o
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Agents and MCP Orchestration with Langchain.js, LlamaIndex.TS,and Microsoft Agent Framework!
](https://discord.gg/NcwHpz6bRW) [ [](https://techcommunity.microsoft.com/blog/AzureDevCommunityBlog/introducing-azure-ai-travel-agents-a-flagship-mcp-powered-sample-for-ai-travel-s/4416683)
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[](https://github.com/Azure-Samples/azure-ai-travel-agents)
Overview • Architecture • Features • Preview locally FOR FREE • Cost estimation • Join the Community
[](#preview-the-application-locally-for-free)
Overview
The AI Travel Agents is a modular reference application that leverages multiple AI agents to enhance travel agency operations. The application demonstrates how LangChain.js, LlamaIndex.TS, and Microsoft Agent Framework can orchestrate multiple AI agents to assist employees in handling customer queries, providing destination recommendations, and planning itineraries. Multiple MCP (Model Context Protocol) servers, built with Python, Node.js, Java and .NET, are used to provide various tools and services to the agents, enabling them to work together seamlessly.
| Agent Name | Purpose |
|---|---|
| Customer Query Understanding | Extracts key preferences from customer inquiries. |
| Destination Recommendation | Suggests destinations based on customer preferences. |
| Itinerary Planning | Creates a detailed itinerary and travel plan. |
| Echo Ping | Echoes back any received input (used as an MCP server example). |
High-Level Architecture
The architecture of the AI Travel Agents application is designed to be modular and scalable:
Don't lose this
Three weeks from now, you'll want Azure Ai Travel Agents again. Will you remember where to find it?
Save it to your library and the next time you need Azure Ai Travel Agents, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. A robust enterprise application sample (deployed on ACA) that leverages MCP and multiple AI agents o. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
What's New
Imported from GitHub
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