"Travel" matching MCP servers:

A comprehensive travel aggregation server that enables AI assistants to search for flights and hotels, track flight statuses in real-time, and retrieve airport information. It integrates with Amadeus and AviationStack APIs to provide data on pricing, schedules, and travel routes through natural language.

A Model Context Protocol server that enables flight searching, booking, and payment processing. It also provides access to resources like user profiles, pricing rules, and company travel policies.

Enables turning natural-language vacation or business travel goals into multi-leg flight segments, lodging choices, layover buffers, baggage fee optimization, and consolidated reservation manifests via MCP.

Enables auditing of business-travel expense claims through mock office tools and a deterministic rule engine for claim review, evidence search, policy checks, triage, approvals, and decision drafting.

Nigeria's AI infrastructure server that provides business automation agents including WhatsApp automation, university support, travel management, and legal document processing. Integrates payment processing, text-to-speech capabilities, and webhook handling for Nigerian businesses.

Enables agents to generate optimized multi-day travel schedules and decision payloads via MCP, applying TSP graph heuristics with fatigue decay and opening-hour constraints.

Connects Claude Desktop to Google Calendar for local calendar management including adding, updating, and deleting events, checking schedules, and calculating travel time between meetings.

Enables cab booking and management through natural conversation, allowing users to book rides, cancel bookings, and view driver details. Works with Google Maps MCP to provide comprehensive travel planning with automatic route optimization and cab arrangements between destinations.

A remote MCP server that searches Google Flights for flight information and airport codes. It enables users to find flights, locate airports, and generate travel dates through natural language interactions.

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 MCP-compatible AI agents to fill out and generate PDF business trip application forms. It also provides travel-planning guidance for choosing transport modes and estimating realistic departure and return times.

Enables AI assistants to search flights and hotels, access AI-powered price forecasts, set price alerts, and initiate travel bookings through the Hopper platform. It provides real-time pricing and booking management capabilities directly within the Model Context Protocol.

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.

A hierarchical plan management system built on FastMCP and SQLite that enables users to create, track, and manage various types of plans including travel itineraries, study schedules, and work tasks with templates, search capabilities, and progress statistics.

Enables Claude or any MCP-compatible agent to view and build Wanderlog trip itineraries through conversation, adding places, notes, hotels, transit legs, car rentals, checklists, and budget expenses. It also supports searching places, hotels, and user-written travel guides, plus editing, moving, and removing existing trip content.

Aggregates data from Google Calendar, TripIt, and Fireflies.ai to generate comprehensive daily briefings, schedule overviews, and action item lists. It enables users to manage their time by detecting meeting conflicts, identifying focus slots, and tracking upcoming travel plans.

A local MCP server that lets AI assistants drive a single traveler's credit-card travel insurance claim workflow: start and complete an intake draft, search card products, attach receipts and booking emails, hand the traveler an authorization to sign in their own browser, then submit and track the claim. It includes browser-based sign-in and the same consent and signing requirements as the CLI, and currently runs in synthetic review mode where nothing is filed with an insurer.

Connects an MCP client such as Claude Code to the Figma file open in the desktop app, letting the agent create frames, write text, apply styles, import images and SVGs, take screenshots, and run arbitrary Figma Plugin API code. Commands travel through a local development plugin instead of Figma's web API, so there are no tokens, quotas, or rate limits.

A smart commute assistant that monitors travel routes via the Amap API and sends automated notifications to DingTalk. It enables users to schedule daily route checks and receive real-time traffic updates using a modular MCP-based architecture.