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 for AI-native restaurant discovery with three-tier search (verified, menu_indexed, discovered), Menu Protocol menus, and structured menu validation.
MCP server exposing restaurant tools including search by cuisine, price, rating, and open status, restaurant details, user preferences stored in Neon Postgres, and RAG knowledge search covering 50 mock restaurants across Scottsdale and Phoenix.
An MCP server for API discovery and execution with a token-efficient search -> execute workflow over OpenAPI, Google Discovery, and optional native GraphQL and gRPC sources.
An MCP server for easyTable restaurant reservations, enabling booking management (list, create, modify, cancel) through a fetchproxy bridge that requires a user's browser tab to bypass server-side blocks.