"How to describe web content using a URL" matching MCP servers:

Enables users to search for hotels by location and maximum price per night, returning hotel options with ratings and estimated total costs.

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.

Provides Estonian public transport timetables, trip planning, stop search, and real-time vehicle tracking.

Enables AI agents to query real-time fuel station availability and summaries across Thailand via MCP tools.

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.

Provides real-time fuel prices at gas stations in Spain using the government's public API. Enables users to find the cheapest fuel in a municipality or list stations sorted by price.

Enables querying SNCF train schedules and stations in France using the official Navitia API, with support for flexible date parsing and real-time journey planning.

Enables AI assistants to plan container and truck loads from plain-English shipment descriptions, returning fitted containers, utilization, non-fitting items, and interactive 3D load plans.

Enables AI assistants to search hotel rooms by number of nights within a flexible date range, returning real prices and the cheapest deals with booking links. It also supports city resolution, hotel listing, and offer details for external booking completion.

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 AI assistants to access Swiss public transport data including journey planning, real-time departures, disruptions, occupancy forecasts, ticket prices, and train formations via a standardized MCP interface.

Persistent, shareable travel workspaces for AI agents. Build a complete itinerary as a private map link and hand it to the person — usable on their behalf where signup-walled travel tools are not. Six tools, no API key, no account. The trip rides in the link's fragment, so nothing is stored server-side. Hosted at https://thistripbtw.us/mcp — zero install — or npx thistripbtw-mcp over stdio.

Enables querying Renfe train schedules, checking prices, and finding stations across Spain using official GTFS data.

An MCP server that lets users find nearby shops and POIs around a location and find targets such as gas stations or charging points within a given radius along a driving route, using the Amap (Gaode) Web Service API with built-in API key entry and validation.

Provides real-time Seoul city data including population congestion, traffic, parking, transit, bikes, EV chargers, weather, events, commercial, accidents, alerts, and news across 121 locations using Seoul Open Data API.

A Model Context Protocol server that provides real-time Caltrain schedule information, allowing AI assistants to look up train departures between any stations and access station information using GTFS data.

MCP server for searching Japanese train routes using Yahoo! Transit data, enabling station-to-station route planning with optional via stations, time specifications, and fare options.

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.

An MCP server using the AviationStack API to fetch real-time flight data, including airline flights, airport schedules, future flights and aircraft types.

Wanderlog-mcp is an MCP server that lets LLM agents plan and edit Wanderlog trip itineraries — adding places, hotels, notes, and checklists to any day, managing trip dates, and searching for destinations. It turns a conversational prompt into a fully built-out travel itinerary with practical details interleaved between each stop.