"Trending MCP server for memory usage with GitHub Copilot integration" matching MCP servers:

A private location archive with an MCP server, letting an agent answer questions about your past stays, trips, cities, and travel stats from data in your own Postgres.

Provides Naver Map API functions (geocoding, reverse geocoding, directions, static map, and usage queries) as MCP tools for use in Claude Desktop, VS Code, and other MCP clients.

MCP server for SYMONE — search motorcycle transport routes in France. Paris↔Marseille from 299€. No auth required.

Enables AI assistants to access real-time Transport for London data, including tube/bus arrivals, line status, journey planning, and disruptions.

Provides a suite of tools for location retrieval and multi-modal route planning within China using the Baidu Maps API. It enables AI agents to perform address-to-coordinate conversions, nearby place searches, and calculate directions for driving, transit, walking, and cycling.

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

Enables AI agents to query and act on SAP CAP travel domain data (travels, bookings, customers, agencies) via MCP tools, including unbound actions and security-aware access.

Express-based API for Lviv transport timetable data with a read-only MCP endpoint.

Provides read-only access to live Bay Area transit data, including routes, stops, real-time departures, vehicle positions, and service alerts, for use by large language models.

Enables travel search workflows including airport lookup, route comparison, travel timing guidance, and external booking links with commission-eligible links.

Enables querying SNCF train schedules and stations in France using the official Navitia API, with support for flexible date parsing and real-time journey planning.

Free, no-login MCP server for searching and comparing flights with real-time pricing from multiple airlines and booking platforms worldwide.

MCP server for Chelaile realtime public transit data in China, including bus and metro arrivals, vehicle positions, nearby stops, timetables, and route planning. It runs locally over stdio with no login or account configuration required.

Enables AI assistants to search hotel rooms by number of nights within a flexible date range, returning real prices and the cheapest deals with booking links. It also supports city resolution, hotel listing, and offer details for external booking completion.

Enables LLMs to search Google Flights for one-way and round-trip flights, with configurable filters for airports, dates, passengers, cabin, stops, airlines, price, bags, and more, returning booking links and detailed trip information.

Enables LLMs to search and book flights across 300+ airlines, manage travel orders, and search airports through the Duffel API with support for real-time pricing, multi-city trips, and flexible cabin classes.

A developer-focused server that exposes information from VW vehicles via a Model Context Protocol (MCP) interface. This project is designed for integration, automation, and experimentation with connected car data.

Enables AI agents to pack trucks and shipping containers by generating validated 3D load plans with metrics like LDM, linear feet, and pallet positions through the Hansatic packing API.

Enables AI agents to search, browse, and book hotels from a database of 2 million properties worldwide. Provides comprehensive hotel search capabilities with location lookup, filtering by amenities, detailed property information, and integrated booking functionality.

An MCP server that enables AI assistants to interact with the Netherlands Railways (NS) API for route planning, pricing, and real-time departure information. It provides tools for searching stations, planning trips with connections, and viewing real-time departure boards.

Provides AI assistants with access to real-time flight data, airport schedules, delays, and aviation reference databases through natural language queries.

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.

Persistent, shareable travel workspaces for AI agents. Build a complete itinerary as a private map link and hand it to the person — usable on their behalf where signup-walled travel tools are not. Six tools, no API key, no account. The trip rides in the link's fragment, so nothing is stored server-side. Hosted at https://thistripbtw.us/mcp — zero install — or npx thistripbtw-mcp over stdio.

Art-tourism data for AI agents: biennales, art fairs, museum essentials with 2026 prices, opening hours, and sequenced routes.

An MCP server for searching and comparing travel eSIM data plans by country, planning multi-country trips, and optionally checking eSIM usage with an API token.

Enables querying public transit data through the Transitous MOTIS API, including station search, journey routing, and generic API actions with caching and rate limiting.

MCP server for ANWB traffic information, route planning, and location search in the Netherlands. Provides real-time traffic incidents, route calculation with turn-by-turn directions, and location search via natural language.

Hotel booking MCP server — the first transaction-complete hotel booking integration for AI agents. Search 300K+ properties in 140+ countries, get live rates and room details, and generate secure checkout URLs. No payment in the AI conversation — guests complete booking at a hosted checkout page and receive a real hotel confirmation number. Set your own booking fee via Stripe Connect.

Free, no-login MCP server for discovering and comparing rental cars with real-time pricing from multiple providers worldwide.

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.