What are the prerequisites to run Restaurante MCP - Ejemplo?
You need `uv` installed (see [official installation guide](https://github.com/astral-sh/uv#installation)) and an OpenAI API key set in a `.env` file as `OPENAI_API_KEY=sk-...`.
@Charlytoc
基本情報
概要はまだありません
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。
Restaurante MCP - Ejemplo is a demo conversational digital restaurant built using the Model Context Protocol (MCP), Python, and OpenAI GPT. It showcases how MCP can power a restaurant ordering system with a natural-language interface, digital menu, table management, and a mock payment link.
Install uv (see official guide), clone the repository, create a .env file with your OPENAI_API_KEY, then run bash start.sh. This script creates a virtual environment, installs dependencies with uv, and launches both the MCP server and the conversational client in an interactive terminal.
You need `uv` installed (see [official installation guide](https://github.com/astral-sh/uv#installation)) and an OpenAI API key set in a `.env` file as `OPENAI_API_KEY=sk-...`.
Clone the repo, set your API key in `.env`, then run `bash start.sh`. The script handles virtual environment creation, dependency installation with `uv`, and launches both server and client.
Edit the file `management/menu.csv` to add, remove, or modify products. You can use emojis in product names.
View menu, add order, delete order, clear orders from a table, view orders of a table, calculate total bill, and generate a mock payment link.
Use `netstat -ano | findstr :8080` to find the PID, then run `taskkill /PID <PID> /F` to free the port.

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