While tech giants bicker over LLM benchmark scores, the owner of a nearly 20-year-old dumpling shop near Beijing University of Posts and Telecommunications has quietly integrated AI into his daily operations.
A peculiar open-source project recently surfaced on GitHub: "Jingu Yuan Dumpling AI Skill." The author is not a software engineer but the dumpling shop owner himself. He built the extension using Python on the MCP (Model Context Protocol) protocol — a hot topic in developer circles — and deployed it on Tencent Cloud Functions. To install, users simply tell their AI assistant "Install Jingu Yuan Dumpling Skill" and paste the repository URL; the AI handles the download and configuration automatically.
Three Taels of Service: WiFi, Cooking Guide, and Meituan Queueing
The AI Skill currently offers three practical features. First, instant Q&A about the store: locations (BeiYou branch, Wudaokou branch), business hours, WiFi password, and current deals. Second, takeaway and cooking guidance: can you pack raw dumplings? How to boil them at home? The AI provides step-by-step instructions. Third — and most notably — seamless Meituan queue integration. Type "Get me a table for two at the BeiYou store" and the AI completes online queue registration without opening the Meituan app. Users can also ask "How many groups ahead?" or "Cancel my queue."
Technically, the project is straightforward but uses a forward-looking stack. It fully supports mainstream AI environments and assistants such as Qoder, Cursor, Trae, Windsurf, and Claude Code. The owner not only figured out API integration and the MCP protocol but also open-sourced the code — a rare display of builder spirit in traditional catering.
Not a Gimmick, But a Tool for Real Stores
The project has drawn widespread sharing and stars on GitHub precisely because of its no-nonsense utility. Experts often preach how AI will transform every industry, but few traditional business owners bother to get their hands dirty. The Jingu Yuan owner proves that AI is not a lofty buzzword but a productivity tool that can genuinely improve customer experience and solve physical store pain points. Looking up WiFi, queuing, cooking instructions — these tiny but frequent needs are now covered by a single DIY project from an old dumpling shop. For the food-and-beverage industry, this might be more practical than any industry report.
Jingu Yuan has operated for nearly 20 years next to Beijing University of Posts and Telecommunications. The owner shared the project address on GitHub with clear installation instructions. It has already garnered hundreds of stars, with developers discussing building similar Skills for their local shops. If more traditional businesses embrace such low-cost AI integration, common headaches like long queues and hard-to-find WiFi passwords could become one-click problems.