Provides tools to check room availability, create bookings with automatic price calculation, and list bookings. Uses in-memory data with no authentication for demo purposes.
Hotel booking MCP server — the first transaction-complete hotel booking integration for AI agents. Search 300K+ properties in 140+ countries, get live rates and room details, and generate secure checkout URLs. No payment in the AI conversation — guests complete booking at a hosted checkout page and receive a real hotel confirmation number. Set your own booking fee via Stripe Connect.
An MCP server that connects AI assistants like Claude to a Microsoft SQL Server hotel booking database, exposing tools to query customers, rooms, and bookings.
RollingGo MCP is a high-performance hotel search and recommendation service built on the MCP (Model Context Protocol) standard. It connects large language models with a massive database of domestic and international hotel data, providing real-time structured hotel search capabilities for AI assistants, agents, travel planning tools, or IDE plugins like Cursor/Windsurf.
Enables hotel booking operations through the Exely Distribution API via natural language interactions. Integrates with LLMs and Telegram bots for seamless hotel search, booking, and management functionality.
Enables AI agents to search, browse, and book hotels from a database of 2 million properties worldwide. Provides comprehensive hotel search capabilities with location lookup, filtering by amenities, detailed property information, and integrated booking functionality.
Enables verified, bookable hotel price checking with tax-inclusive totals, OTA tax status flags, and durable Booking.com fallback links for budget travel planning.
Provides live hotel room rates, availability, and guest reviews from Agoda, enabling searches by destination and dates, property details, and structured review data.
Enables AI agents to manage cab bookings, estimate fares, and dispatch drivers with a 2-tier priority algorithm for hotel guests, providing 18 MCP tools for driver management, dispatch, and ride lifecycle.
Enables AI agents to search, compare, and book hotels worldwide through natural language, with real-time pricing and availability, plus price monitoring and order management.
Enables AI agents to search, compare, and book hotels with real-time pricing and availability, supporting multiple location types, star ratings, and price filters.
Enables finding the cheapest flight destinations from an airport as structured JSON, with bargain detection via typical price comparisons and booking links.
MCP server for searching stays, comparing prices across Booking.com, Airbnb, Vrbo, and Google Hotels, and fetching reviews via natural language in AI assistants.
Enables AI-driven hotel booking operations with 30+ MCP tools, hybrid database architecture (PostgreSQL, MongoDB, Redis), and live benchmarking to demonstrate performance improvements.