# Restaurant Recommender

- **Event:** [Agentic Memory & Context Engineering Hackathon](https://cerebralvalley.ai/e/mongoDB-hackathon)
- **When:** Sat, Oct 11 at 9:00 AM – 10:00 PM (PDT)
- **Where:** Shack15, San Francisco, CA
- **Team:** [Pranav Bidve](https://cerebralvalley.ai/u/pranavbidve), [Saravanan Hari Baskaran](https://cerebralvalley.ai/u/saravanan), [Tanishka Ramesh](https://cerebralvalley.ai/u/TanishkaP), [Juliette Ambi](https://cerebralvalley.ai/u/juliebi)
- **GitHub:** https://github.com/pranavbidve/MCP-Restaurant-Platform
- **Demo video:** https://drive.google.com/file/d/1E-VlC1lK5eehbrES1ywBPCloIBGnX-FU/view?usp=sharing
- **Gallery:** https://cerebralvalley.ai/e/mongoDB-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/mongoDB-hackathon/hackathon/gallery/61

Dine-In MCP Server is an AI-powered restaurant recommendation and reservation system built on MongoDB Atlas. It uses Vector Search to match user preferences with restaurant data for personalized suggestions. The system automates real-time reservations through seamless data orchestration between the Discovery and MongoDB servers.

---

Markdown version of https://cerebralvalley.ai/e/mongoDB-hackathon/hackathon/gallery/61. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt