"Terraform Cloud - Managing Cost and Performance" matching MCP servers:

Answers operational questions about route on-time performance, such as lateness rates and trip evidence, using structured tools for route summary, trip lateness, and data quality.

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.

Compute and analyze bus route lateness using trip data, with drill-down and cross-referencing against rider complaints and operational logs.

Provides Google Maps functionality through Cloud Run, enabling route calculation, traffic analysis, route comparison, and trip cost estimation with rate-limited public access.

Answers whether a route ran late and by how much, with drill-down into individual trip delays and an audit trail of data-quality exclusions and duplicate resolutions.

Cost-of-living and quality-of-life comparison across ~165 cities: take-home pay, the equivalent salary you'd need, and the safety-net deltas (childcare, healthcare, vacation, parental leave).

Ocean and multimodal freight intelligence suite providing cross-validated rates, total landed cost, transit reliability, customs, risk, emissions, and unified ship decisions through 47 tools.

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.

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.

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 pilots to assemble a preflight briefing per 14 CFR §91.103 by fetching weather, airport info, aircraft performance, fuel estimates, alternates, and NOTAMs.

MCP server for azair.eu that enables flexible-date cheap flight searches across European low-cost airlines, with multi-airport, metro-area, and advanced filter support.

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 trips by searching flights, accommodations, and activities, and managing itineraries collaboratively with role-based permissions.

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.

A high-performance FastAPI backend for train ticket queries in China, supporting real-time ticket availability, station information, transfers, and train schedules through the Model Context Protocol for AI assistants and automation.

Enables AI agents to automate Delta Air Lines tasks such as searching flights, managing bookings, and checking SkyMiles balances through Playwright-based browser automation. It supports the complete travel workflow including seat selection, check-in, and digital boarding pass retrieval.

Travel planning tools from Plantrip: generate day-by-day itineraries, AI packing lists, weather insights, and trip cost estimates. Every itinerary gets a shareable page the user owns; free API key, no subscription.

Provides on-time performance analysis for Mumbai North bus routes via tools for route summaries, late trip drill-down, and data quality reports. It quarantines invalid data and surfaces policy questions instead of hidden normalizations.

Plans and optimizes last-mile delivery routes with capacity and time-window constraints, offering tools for managing deliveries, vehicles, routes, and what-if scenarios.