"Metro" matching MCP servers:

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 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.

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

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.

An MCP server that provides weather forecasts and current conditions for any city via the free Open-Meteo API, with no API key or account required.

Provides comprehensive weather data (forecasts, historical, air quality, marine) from Open-Meteo through 12 tools, with support for single and batch location queries.

Enables users to get weather forecasts, snow conditions, air quality, and location search via the Open-Meteo API, with guided prompts for ski trips and outdoor activities.

Enables AI assistants to look up live weather data, including current conditions and up to 16-day forecasts, by converting place names to coordinates and fetching data from the Open-Meteo API without requiring an API key.

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.

A lightweight MCP server for Open-Meteo weather API, providing current weather, forecasts, location search, and more without requiring an API key.

Enables users to geocode city names and retrieve current weather conditions plus a 1–7 day forecast through a public weather API, with no API key required, for MCP clients such as Claude Desktop or Cursor.

Enables retrieving current weather, hourly and daily forecasts, and geocoding for cities via Google Maps Weather API, with a local dashboard for India metro areas.

A comprehensive MCP server providing tools for real-time, forecast, and historical weather data, alongside air quality, marine conditions, and climate projections. It also includes geocoding services to search for locations and retrieve precise coordinates for environmental analysis.

Provides comprehensive access to Open-Meteo weather APIs, including forecasts, historical data, air quality, marine weather, and geocoding, enabling LLMs to retrieve weather information and location data.

Enables real-time weather queries for cities worldwide using Open-Meteo API. Provides 7-day forecasts with detailed information including temperature, wind, humidity, precipitation, and comfort level assessments in both Chinese and English.

Provides comprehensive access to Open-Meteo APIs for weather forecasts, historical data, air quality, and marine conditions. It enables LLMs to query specialized meteorological models, perform geocoding, and access advanced climate or flood projections.

Home Services MCP by HireNimbus lets AI agents find, compare, and book verified local pros for handyman, renovation, HVAC, plumbing, electrical, and landscaping jobs in supported US metro markets.

Provides MCP-compatible agent clients with current weather, forecasts, and place-name geocoding from the Open-Meteo API without requiring an API key.

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

Enables candy-store expansion planning and supplier forecasting across metro Atlanta's ten counties and 1,200 census tracts, modeling demand, heritage-segment specialty markets, competitor-aware capture, and distribution capacity. Users can locate optimal store sites under a budget, test what-if scenarios, and forecast weekly orders per center and category with p10/p90 ranges and expected losses.