Enables the deployment of a remote Model Context Protocol server on Cloudflare Workers for flight availability searches via seats.aero. It provides a framework for hosting MCP tools that can be accessed by local clients or the Cloudflare AI Playground.
Discovers Korean national heritage, resolves designation numbers, and creates heritage-focused trip plans using official National Heritage Administration data.
An AI-powered travel assistant connected to Claude via MCP that helps users plan Amazon Rainforest trips by providing directions, hotel recommendations, adventure spots, cultural sites, and travel precautions.
Enables AI assistants to search for vehicles, manage reservations, and access Enterprise Plus loyalty account information through headless browser automation on enterprise.com. It supports the complete car rental workflow including vehicle searching, booking, modifications, and points balance checks.
Answers operational questions about route on-time performance, such as lateness rates and trip evidence, using structured tools for route summary, trip lateness, and data quality.
Answers whether a route ran late and by how much, with drill-down into individual trip delays and an audit trail of data-quality exclusions and duplicate resolutions.
An MCP server that creates a virtual traveling environment on Google Maps, allowing users to guide an avatar on journeys with photo reports and SNS integration.
Enables travel-related queries and planning including weather, train and flight information, itinerary generation, and travel knowledge retrieval via RAG, using an AI agent with MCP protocol.
Search vacation rental properties, check real-time availability, get canonical pricing quotes, and create direct bookings. Each property is its own node with live data. Supports staircase pricing, seasonal rates, and 11 languages.
An MCP server that exposes the Wunder Mobility v2 end-user API as tools, enabling clients to browse vehicles, manage rentals, and create reservations on behalf of a signed-in user.
MCP server for creating day-by-day trip itineraries in SQLite, with a planner agent that uses a Tavily search scout via tool boundaries. Enforces guard rails like rejecting activities on out-of-range days.
Enables AI agents to create persistent, shareable travel trip links by turning a list of legs into a URL that displays the trip on a private map. Supports detailed leg information such as mode, date, note, travelers, and lodging.
Enables AI assistants to query and manage logistics shipment data, supporting operations like tracking, quoting, and performance analysis via nine tools backed by a demo dataset or a REST API.