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    Enables agents to answer whether it's a good day to go up, hike, or take the cable car, and to rank the best day in the seven-day forecast using live weather, summit conditions, cable car status, and hours. It adds freshness warnings, out-of-forecast handling, clear errors, and an eval suite for validating agent tool use.
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    MIT
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    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.
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    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.
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    19 npm
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    ISC
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    An MCP server that enables AI assistants to interact with the Netherlands Railways (NS) API for route planning, pricing, and real-time departure information. It provides tools for searching stations, planning trips with connections, and viewing real-time departure boards.
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    MIT
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    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.
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    10 npm
    MIT
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    An (unofficial) MCP server for the Deutsche Bahn Timetables API — station search, planned departures, and real-time changes (delays, platform changes, cancellations) as tools for Claude and other MCP clients.
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    An MCP server for searching and comparing travel eSIM data plans by country, planning multi-country trips, and optionally checking eSIM usage with an API token.
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    42 npm
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    An MCP server for holiday flight planning powered by Google Flights via SerpAPI, enabling real-time flight search, destination discovery, airport comparison, and multi-country trip planning.
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    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.
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    MIT
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    Vacation-quoting MCP server for travel agents that turns plain-language client briefs into priced, bookable proposals with live hotel rates, activities, and dining, plus an assistant skill for building branded, printable quotes.
    7
    MIT
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    MCP server for the Yango Delivery B2B API, enabling price estimation, express-courier claim creation and confirmation, courier tracking, and recipient tracking links through natural language.
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    546 npm
    MIT
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    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.
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    Provides aviation weather data (METAR, TAF, station search) with a unique assess_conditions tool that returns flight category, confidence, and an escalation gate to indicate when human review is needed.
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    17 npm
    MIT
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    Real-time pet travel data for AI assistants. Connect Claude, ChatGPT, or any MCP-compatible AI to Pawgo's database of airline pet policies and country import requirements.
    5
    26 PyPI
    MIT
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    MCP server for Yandex Delivery B2B API, enabling natural language interaction to calculate delivery costs, create and manage express and platform delivery orders, track couriers, and handle pickup points.
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    72 npm
    MIT
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    MCP server for Indian Railways data, enabling AI agents to search trains, get schedules, live status, PNR info, and more without an API key.
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    9 npm
    MIT
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    An MCP server exposing Greater Helsinki public transport data from Digitransit, enabling LLM hosts to answer live transit queries, plan journeys, and fetch stop departures via natural language.
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    4 npm
    MIT
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    Searches Google Flights, labels results as in-policy or out-of-policy based on a travel policy file, and ranks them by preferences like nonstop, alliance, or price.
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