"Tokyo Metro" matching MCP servers:

Integrates ODPT and JMA APIs to provide comprehensive transit information, route search, weather, and AI advice for the Tokyo metropolitan area.

Enables querying LA Metro bus and rail route rosters, stop locations, and live service cancellations from Metro's open API.

Lets MCP clients answer Adelaide Metro transit questions from the official GTFS timetable, including finding stops, listing routes at a stop, and checking scheduled departures and trip stop sequences. All tools are read-only, so users can plan direct trips and find where to get off without live delay data.

A unified MCP server for US transit systems, supporting Washington DC Metro and NYC Subway with real-time predictions, station info, and service alerts.

Enables local AI clients to search Houston METRO routes, stops, nearby stops, realtime arrivals, and service alerts through natural language.

Enables users to interact with Washington DC Metro (WMATA) transit system through natural language queries. Provides real-time train arrivals, service alerts, station information, trip planning, and accessibility updates.

MCP server to search for routes in the Moscow metro and calculate the duration of the trip.

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 LLMs to query realtime bus and metro data across Chinese cities without any login or API key, covering keyword search, nearby stops, stop and line details, live vehicle positions and ETAs, and bus-plus-metro transfer planning. Departure predictions at a line's first stop cover the full service day, including last departures and the next bus after a specified time.

Enables AI assistants to query live arrivals, vehicle positions, routes, stops, and timetables across the Athens public transport network, with stop lookups by name or coordinate in Greek or Latin script. Results cover OASA buses, trolleys, metro, and tram, falling back to cached reference data when the upstream API is unreachable.

Enables AI agents to search Iranian places, read place details, reviews, photos and menus, find nearby places, reverse geocode coordinates, check air quality, and get car, motorcycle, bicycle, walking or bus/metro directions, travel times and Tehran traffic-zone status without an API key.

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.

Enables real-time bus and light rail departure lookups, route and station search, and service alerts for Minneapolis–Saint Paul Metro Transit through MCP.

Enables AI agents to search for stops and stations across all Norwegian public transport and to fetch real-time departure data — planned versus expected times, delays, platform, operator, and disruption messages — with no API key required. Covers bus, tram, metro, train, and ferry nationwide through Entur's open APIs, with filtering by line, destination, and future departure time.

Enables MCP clients to query Taiwan's TDX transport data for YouBike availability, bus routes and live arrivals, and high speed rail, Taiwan Railway, metro and Alishan timetables, seat availability, fares and service alerts. A generic endpoint tool also reaches any other TDX API path.

MCP server for accessing real-time Izmir public transport data (IZBAN, ESHOT, Tram, Metro, Ferry, Train) including bus locations, schedules, and stop information.

Enables agents to evaluate layover time budgets and generate timed sightseeing or culinary micro-tours that account for immigration buffers, round-trip metro/taxi latencies, and connection safety.

Provides real-time access to İzmir's public transportation data, including bus locations, schedules, and route information for ESHOT, İZBAN, Metro, and Tram services. It enables AI assistants to perform transit queries, calculate fares, and locate nearby stations using the Model Context Protocol.

Enables AI agents to query Washington Metro rail and bus data through the WMATA API — listing lines, stations, routes and stops, plus real-time next-train and bus arrival predictions and current incidents — using a free API key. It runs either as a remote gateway endpoint or a local stdio server.

Gives language models weather tools for place search, multi-day forecasts, and location comparison, with no API key or configuration required.

Enables AI assistants and agents to access grounded multi-modal trip planning, next departures, stop discovery, metro routing, geocoding, and personalized saved places for the Pune and Pimpri-Chinchwad region.

Enables users to compare live multimodal travel options — bike taxi, metro, AC cab, and city bus — by geocoding any real-world origin and destination and computing actual road distances, travel times, and dynamic INR fares. It filters out any options that would miss a stated deadline, returning structured route data plus a conversational voice answer for Alexa+ or other MCP-enabled agents.

Enables natural-language queries about live Belgian trains, metro, tram and bus services — departures, arrivals, A-to-B journey planning, disruptions and train composition — from Claude or any MCP client speaking Streamable HTTP. It runs remotely on Cloudflare Workers, needs no accounts, and stores no personal data.

Enables AI assistants to answer tourist queries about Kolkata Durga Puja by providing tools and datasets for pandal details, nearby pandals, metro stations, driving routes, restaurants, and restaurant opening hours.

Stateless MCP server providing tools for weather forecasts and alerts, real-time stock quotes, DC Metro rail incidents and arrivals, and live flight tracking, secured with OAuth 2.0.

Enables journey planning, live departures, service alerts, and commuter car-park occupancy for Sydney and New South Wales across trains, metro, buses, ferries, and light rail, accessible via natural language queries.

MCP server for Korean public transit that enables route planning with real-time bus and subway arrivals, including fallback options. It combines ODsay route search with real-time data from Gyeonggi Bus and Seoul Metro systems.

Evaluates airport layover time budgets of 3–8 hours, factoring immigration clearance buffers and round-trip metro/taxi latencies into a net usable exploration window. Curates timed sightseeing and culinary micro-tours with safety advice and zero connection risk.