MCD-Git: Streamline McDonald's Orders with AI Command Line
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MCD-Git: Streamline McDonald's Orders with AI Command Line
MCD-Git facilitates McDonald's ordering using a command line interface integrated with AI technologies. Users can select a restaurant, view menus, customize orders, find the best applicable coupons, and complete transactions with confirmation notifications.
What this skill does
Selects a McDonald's location and browses the menu options via a command line.
Adds items to a shopping cart with the ability to customize orders (e.g., remove pickles, reduce ice).
Optimizes deals by automatically applying the most economical coupons available.
Generates order confirmations and payment links after user approval.
Retrieves pickup codes and accommodates order repetition and cancellation upon confirmation.
Facilitates coupon retrieval with explicit user consent.
Produces a contribution graph in a 1024 format that represents McDonald's order history.
Who it is for
This skill is designed for developers and teams utilizing AI coding agents such as Claude Code, Cursor, and Codex, who require streamlined McDonald's ordering capabilities integrated into their workflows.
Use cases
A development team using Claude Code integrates this command line skill to automate meal ordering during lunchtime meetings.
An individual utilizes the skill to place frequent orders efficiently from a McDonald's location through a DevOps continuous integration chain.
AI researchers incorporate the MCD-Git tool for demo environments to showcase AI's application in service automation.
Technical details
The skill operates using command line syntax similar to Git commands (e.g., `git mcd add`, `git mcd commit`, `git mcd push`) to manage the ordering process.
All interactions must be conducted through the `git mcd … --json` command to ensure JSON output, which prevents inadvertent confirmations.
The installation requires a Git or pip command and the setting up of the MCD_MCP_TOKEN by the user in their environment.
A --demo mode is available for testing purposes, which uses synthetic data and explicitly informs the user that it is a demonstration.
Source & Licence
This package is built on open-source work published by zhutoumeme (zhutoumeme/mcd-git) and distributed under MIT. The original licence text and copyright notice are included in your download.
Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.
Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.
Delivery & Support
Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
Format: ZIP archive containing the skill files, documentation and the original licence.
Updates: updates are included only where stated on this page.
Refunds
This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.
Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.