An MCP server for restaurant discovery and booking across Resy and OpenTable via natural language. It integrates Google Places data with dietary preferences, visit history, and weather awareness to provide personalized dining recommendations and group reservation management.
MCP server that recommends coffee based on preferences (mood, milk, caffeine, temperature) from a static menu; includes tools for listing menu, recommending, and explaining recommendations.
MCP server enabling natural language search and recommendation of Seoul Open Data Plaza datasets, covering APIs and non-API formats with provider and recency filters.
An AI-powered server that helps users discover and book restaurants based on location, cuisine preferences, mood, and event type, with integration to Google Maps Places API for accurate recommendations.
Preference-aware events discovery MCP server that aggregates events, restaurants, and cultural activities across multiple sources and re-ranks them against your personal taste profile to surface things you'd actually want to do.
