"Travel" matching MCP servers:

Enables travel-related queries and planning including weather, train and flight information, itinerary generation, and travel knowledge retrieval via RAG, using an AI agent with MCP protocol.

Enables AI agents to search hotels, flights, trains, and attractions via natural language through Fliggy FlyAI, returning structured travel results inside MCP-compatible clients.

Free travel utilities plus live x402 travel itelligence: $0.01 Travel Pulse disruption and emergency-awareness checks, day trips, weekend getaways, creator experiences, weather-aware planning, mobility options, currency conversion, airport checks, and timing guidance.

Provides AI agents with a structured API for travel planning, enabling them to read trip data, search places, calculate routes, and create/validate itinerary change proposals that require explicit human approval before being applied.

Enables AI assistants to create animated travel route videos by describing a trip, planning a route, styling the animation, and rendering MP4 files locally. It supports multiple map styles, 3D vehicles, and real-road routing.

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.

Exposes tools for retrieving member profiles and personalized travel recommendations with multi-tenant partner rule enforcement, enabling AI agents to respect business constraints like caps and exclusions.

AI-powered travel search exposing flights, hotels, and weather as MCP tools, with a MongoDB-backed per-tool TTL cache whose timeouts are tuned to each upstream API's reliability characteristics.

Enables travel planning by providing weather lookup, hotel search, and hotel policy retrieval via MCP tools over streamable HTTP.

Enables Claude agents to checkpoint their context state and reset back to saved points with handoff messages, maintaining clean context windows during complex tasks by avoiding fragmented summaries from compactions.

Enables read-only public-transport station lookup, journey routing with realtime annotations and generated Deutsche Bahn search links, plus current IRIS departure boards by EVA.

A full-stack travel booking MCP server that enables AI clients to search flights, make reservations, cancel bookings, and manage persistent state across sessions.

Exposes travel planning data and constraint checking as MCP tools over stdio, enabling AI agents to query reference information and evaluate plan validity.

Enables Claude to access and manage a travel company's customer data, trip history, and information requests. Supports searching customers, querying trips by destination or date, and tracking customer inquiries through natural language.

Enables employee eligibility checks, trip validation, and reimbursement calculations for corporate travel policies.

Enables Vellum assistants to search and book flights and hotels, assemble trips, check out, pay agentically, and service bookings through Jinko's remote MCP endpoint.

Enables comprehensive travel and hospitality operations including parallel hotel price comparison, restaurant discovery and reservations, multi-modal transit directions, and cross-platform place reviews.

Provides MCP tool endpoints for hotel and flight actions to support multi-agent travel planning.

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.

Embedded, local-first agent memory: facts extracted into a per-namespace SQLite file (vec0 + FTS5) with hybrid retrieval and point-in-time (time-travel) queries. ADD-only history over stdio — no server process, no cloud dependency.

Enables querying Norwegian traffic messages (roadworks, closures, detours) from Statens vegvesen, filtered by route and time window. Supports both current and future travel times, with tools for route-based and general searches.

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.

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.

A lightweight MCP server that connects AI agents to a local Zotero library for paper management and metadata retrieval. It enables users to search titles and abstracts, browse collections, and automatically ingest papers via arXiv ID or DOI with PDF attachments.

Records every browser session (screen, DOM, network, console, storage) and enables time-travel debugging to rewind and analyze failures.

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.

Japan Operations OS for AI agents — 14 knowledge domains covering regulations, protocols, calendar, travel, food culture, language, disaster safety, daily life, and persistent memory. 31 MCP tools via REST + Streamable HTTP.

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.

Let an AI agent drive up to 12 hobby servos on an open-hardware USB-C controller (Pololu Maestro compatible): moves, named poses, sequences, on-board scripts and rail current/voltage readout, with per-channel travel limits and overcurrent guardrails. Includes a --mock emulator, so it runs without the board.