"Blender Scene Generation and Importing into Unreal Engine" matching MCP servers:

Lets any MCP-compatible AI agent search live resort inventory, request exact all-in quotes including transfers, and start real hotel bookings that the traveler completes on a hosted Stripe checkout.

Enables AI assistants to connect to the AwardMath travel points optimizer, turning wallet balances and travel goals into up to three verified, explainable award-booking plans with exact transfer steps, required points, and fees.

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.

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.

Provides flight search and details for Spanish AENA airports, combining public and authenticated APIs into one interface.

Enables AI assistants to search and compare vacation rentals across Jabama, Jajiga and Otaghak at once, normalizing prices, Jalali/Gregorian dates, amenities, ratings, calendars and full guest reviews into one schema. It runs read-only and locally, providing merged results with direct booking links while withholding host and reviewer identities.

Unifies prediction markets, global news events, aviation state, and internet-infrastructure telemetry into a single async MCP server for macro and financial analysis.

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.

Enables planning bike routes using the BRouter engine, with support for waypoints, route profiles, and exporting routes as GPX or other formats.

Lets any MCP client turn a plain-language trip description into dated fares from a single origin airport, returning prices alongside typical route pricing, airlines, stops, durations and booking links as structured JSON. Optional filters for destination, cabin, dates, trip length and price or stop ceilings are available once a destination airport is specified.

An AI-powered travel planner MCP server enabling flight and hotel search, weather forecasts, point-of-interest discovery, itinerary generation, and budget management.

Integrates Chinese travel and map services into MCP-compatible clients, offering geocoding, POI search, and reverse geocoding via Amap API.

Integrates Google Flights data into AI workflows for natural language flight searches, price comparisons, flexible date searches, and multi-city itinerary planning with support for various cabin classes and passenger types.

SimBrief MCP Server brings flight planning data directly into your AI workspace. Access your SimBrief flight plans (OFP), retrieve real-time METAR weather reports for any airport, and fetch pilot information - all through natural conversation. Built for virtual pilots who want to streamline their pre-flight briefing workflow in Microsoft Flight Simulator, X-Plane, and other flight simulation platf

Facilitates real-time access to Singapore's Land Transport Authority (LTA) transportation data, offering insights into bus arrivals, train services, traffic conditions, and more through integration with the LTA DataMall API.

Give AI agents the ability to search private jets, compare aircraft, get quotes, and submit charter requests through natural language.

Enables AI agents to plan weather-aware trips across Thailand by providing real-time sky conditions, area search, and weather-fit itinerary generation for 150+ locations through Arnfa's API.

Enables designing and rendering urban street cross-sections from natural language descriptions, and importing real streets from OpenStreetMap.

Enables locally running MCP clients to log into Ctrip and Trip.com/Trip Moments, query notes, prepare image-text posts, and submit them through browser automation without a central server. It also supports destination lookup, preview screenshots, account-slot isolation, and local publish-status tracking.

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