A travel planning MCP service based on the TripAdvisor API, providing search functions for attractions, restaurants, and hotels

The MCP server project of Yelp Fusion AI provides natural - language - based local business search and interaction functions, supporting multi - turn conversations, business queries, and restaurant reservations.

A server that provides model context protocol services for Dify AI, supporting chat completion functions and a restaurant recommendation tool.

A demonstration project of a restaurant order service based on the MCP protocol, supporting multi - language interaction

An AI-based restaurant booking MCP server that integrates the Google Maps Places API, providing intelligent restaurant search, recommendation, and booking services. It supports filtering restaurants based on location, cuisine, atmosphere, and event type.

A Python - based restaurant recommendation script that helps find suitable restaurants according to user preferences.

A demonstration project showing the agentic e-commerce UX based on the MCP protocol, including restaurant search, menu viewing, simulated ordering, etc. It uses the Goose platform and MCP UI blocks to implement an interactive HTML interface.

This project uses the Quarkus framework and the Model Context Protocol (MCP) to implement an intelligent agent application based on multiple MCP servers. It combines LangChain4j to provide functions such as AI dialogue, restaurant recommendation, and Slack notification, and supports deployment in development and production environments.

A restaurant reservation system based on Spring Boot and Spring AI, developed using an API-first approach, integrating client code generated by OpenAPI and AI chatbot functionality, and supporting multiple LLM service providers.