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.
Discovers over 356,000 restaurants across 20 countries, providing search, reviews, time-based offers, and cultural context via the Model Context Protocol.
An AI-native restaurant discovery service that enables searching and receiving natural language recommendations for over 2,200 restaurants across 15+ US cities. It provides tools for accessing detailed restaurant info, curated lists, and cuisine-specific searches through the Model Context Protocol.
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.
An MCP server that enables AI assistants to order food from TGO Yemek by browsing restaurants, managing carts, and completing checkouts. It allows users to handle address selection and order tracking directly through natural language interactions.
A situational local recommendation MCP server that classifies user mood, energy, time, and budget to generate three actionable choices with search keywords and disclosure policy.
