"Paradox Interactive" matching MCP servers:

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 places and addresses, compute driving, walking, and kickboard routes, optimize waypoints, and calculate distance and time matrices. Results can be displayed as interactive maps within conversations.

Enables UPS shipping operations on your own UPS account: negotiated rate shopping, live tracking with an interactive MCP Apps card, and landed-cost estimates for international shipments.

MCP server for a temporary rental catalog that enables property search and browsing via an interactive UI resource, including detailed listings and a simulated booking flow.

Provides interactive, React-based UI apps inside Claude Desktop for tracking workouts, planning trips, budgeting, comparing products, and making decisions with bidirectional communication.

Enables interactive design, execution, and analysis of SUMO traffic simulations through natural language, providing tools for scenario generation, policy experimentation, result analysis, and visualization.

Enables AI assistants to look up travel times for driving, walking and cycling, turn-by-turn directions, multi-stop route plans, place details with opening hours, and map images, all from Google's map data. It works read-only without an API key, billing or a Google account, and renders routes and places as interactive cards in supporting clients.

Enables AI agents to become geospatially intelligent assistants with tools for location search, smart routing, round trip planning, reverse geocoding, isochrone analysis, route visualization, geofence management, and interactive map display.

Enables AI agents to retrieve real-time weather conditions and forecasts via OpenWeatherMap API. Supports interactive weather queries and travel planning through MCP tools, resources, and prompts.

This MCP server provides access to TripAdvisor data for planning vacations, enabling users to search for and get details about locations, attractions, restaurants, and hotels through an interactive planning experience.

Lets AI assistants search and browse a continuously verified feed of live retail and travel deals, filtering by category, store, discount, or hot status, and fetch individual deal details with current live/expired state. Results render as interactive cards in MCP Apps clients or structured text elsewhere, always linking to the deal page where the price is re-verified.

MCP server for Japanese public transit journey planning with interactive map UI, enabling station search, route planning, and departure lookups via natural language.

Enables any MCP-compatible assistant to plan sailing passages using wind and sea forecasts, with boat-specific polars, per-leg ETAs, complexity scores, and deep links to interactive plans. Works globally, with higher-resolution models over France, and supports multi-day departure window comparisons.

Enables AI agents to access Mapbox location services for geocoding, POI search, multi-modal routing, travel time analysis, isochrones, map matching, and interactive/static map rendering through natural language.

Enables interactive trip planning and booking through MCP Apps cards, with constraint-based scoring, cross-session memory, and a two-phase booking flow that requires explicit confirmation before charging.

Enables Claude to find Bay Area places and stops and plan complete door-to-door journeys — walking legs, transit routes, transfers, and departure/arrival times, including deadlines and comparisons with walking or cycling — without API keys or authentication. Results come as readable itineraries plus structured data, with an interactive itinerary widget in supporting clients.

Enables destination discovery, stay search, detailed listing reads, and dated price comparisons through MCP tools and an interactive widget, while directing booking to the host website.

An interactive travel planning server that integrates flight searching, weather forecasting, and route calculation through external APIs like Amadeus and OpenWeather. It uses the Model Context Protocol to enable AI assistants to autonomously manage travel logistics and discover local services.

Enables real-time travel planning through a multi-agent pipeline, providing live flight, hotel, attraction, weather, visa, food, safety, and budget data via Google Search and generating complete itineraries. Supports interactive CLI, MCP JSON-RPC endpoints, and browser integration.