広告掲載
MCP.so
ログイン

Travel Itinerary Backend System with MCP Server

@aryanranderiya

リポジトリ

基本情報

カテゴリ

メディアとデザイン

トランスポート

stdio

作者

aryanranderiya

Travel Itinerary Backend System with MCP Server について

FastAPI-based travel itinerary system with MCP integration for AI-powered discovery, filtering, and creation of travel plans via natural language.

Travel Itinerary Backend System with MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "itinerary-mcp-server": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

Travel Itinerary Backend System with MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Travel Itinerary Backend System with MCP?

A FastAPI-based backend for managing travel itineraries, implementing the Model Context Protocol (MCP) for AI assistant integration. It provides RESTful endpoints to create and view trip itineraries, with pre-populated seed data for Phuket and Krabi regions. Designed for developers and AI tool users who need a structured travel planning backend.

How to use Travel Itinerary Backend System with MCP?

Install Python 3.8+, clone the repository, create a virtual environment with uv venv and install dependencies with uv sync. Run the server in development mode using fastapi dev or production mode with fastapi start. The MCP integration is built-in – connect any MCP-compatible client (e.g., GitHub Copilot, Claude Desktop) to the SSE endpoint at http://localhost:8000/mcp. No additional configuration is needed.

Key features of Travel Itinerary Backend System with MCP

  • SQLAlchemy models for itineraries, accommodations, transfers, and activities
  • RESTful API to create and view trip itineraries
  • Pre-populated seed data for Phuket and Krabi regions
  • Sample itineraries ranging from 2 to 8 nights
  • Full Model Context Protocol support via fastapi_mcp library
  • Server-Sent Events (SSE) endpoint at /mcp

Use cases of Travel Itinerary Backend System with MCP

  • AI assistants retrieve and display all recommended itineraries for a destination
  • Users create new multi-day itineraries with specific hotels and activities via natural language
  • Developers integrate travel planning capabilities into AI-powered tools and chatbots
  • Rapid prototyping of itinerary management with realistic seed data

よくある質問

1

What is MCP and how does this server use it?

The Model Context Protocol (MCP) enables AI assistants to understand and interact with the API directly. This server uses the fastapi_mcp library to expose API endpoints via an SSE endpoint at `/mcp`.

2

What are the system requirements?

Python 3.8 or higher, and the uv package manager for Python.

3

How do I start the server?

For development with auto-reload: `fastapi dev`. For production: `fastapi start`. The API is then available at `http://localhost:8000`.

4

Which MCP clients are supported?

Any MCP-compatible client, including GitHub Copilot, Claude Desktop, and other MCP-compatible assistants.

5

Does the server come with sample data?

Yes, the database is pre-populated with realistic seed data for the Phuket and Krabi regions, including sample itineraries of 2–8 nights.

コメント

「メディアとデザイン」の他のコンテンツ

A

AdvisorIQ

Continuing education rules for US financial advisors (CFP, CFA, IWI, IAR by state, FINRA, American College) with official sources and verified dates, plus firm-level data, national and state rankings and market stats on

Pixel Art Generator - Sprite Fusion

Hugo Duprez

Sprite Fusion lets your AI assistant make the pixel art for your game. Describe a character, item, or tile and get sprites at the exact size you need, ready to drop into your project. Match your existing art, turn charac

transcribe.so

transcribe.so

Transcribe YouTube videos, podcasts, meetings and media links into speaker-labelled, timestamped transcripts, then search who said what, ask questions answered with timestamped citations, pull chapters and paste-ready ti

PostNitro

PostNitro Inc.

The PostNitro MCP server lets AI assistants and agents — Claude (Desktop, Code, and Cowork), Cursor, ChatGPT, and any other Model Context Protocol client — create carousels, image posts, and videos, manage brand kits, a

Green Screen Memes

Green Screen Memes

Green Screen Memes is a remote MCP server available at https://api.greenscreenmemes.app.

広告掲載