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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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    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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    Enables users to automate Zipcar car sharing tasks such as searching for available vehicles, managing reservations, and ending trips using stealth browser automation. It provides a standardized interface for interacting with Zipcar's services through natural language and the Model Context Protocol.
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    MIT
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    Enables AI assistants to interact with the Hertz car rental service through headless browser automation. It supports searching for vehicles, managing reservations, checking loyalty status, and retrieving rental policies directly from the Hertz website.
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    MIT
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    Search for Airbnb listings and get detailed information about specific properties. Effortlessly plan your next trip with structured data and no API key required, while respecting Airbnb's guidelines.
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    MIT
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    Flexible multi-leg, multi-airport flight search that finds the cheapest route across an entire itinerary — available as a CLI and as an MCP server for AI agents.
    Apache 2.0
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    Integrates with Amadeus Flight Offers Search API to provide flight search capabilities through natural language interfaces, enabling users to search for flight options between two locations with specific dates.
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    MIT
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    MCP server for Japanese public transit journey planning with interactive map UI, enabling station search, route planning, and departure lookups via natural language.
    MIT
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    Route optimization API for Brazil with tools for geocoding, distance matrices, isochrones, and advanced vehicle routing, supporting constraints like time windows, skills, and multi-profile fleets.
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    MIT
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    Ocean container shipping intelligence for AI agents — D\&D tariffs, freight rates, vessel schedules, port congestion, inland haulage across 6 major carriers. 24 MCP tools.
    MIT
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    MCP server for international trade operations focused on Kazakhstan/EAEU/Central Asia routes, providing tools for landed cost calculation, HS classification, Incoterms guidance, logistics estimation, and currency conversion.
    29
    MIT