"Transport for London" matching MCP servers:

Enables querying Swedish Transport Administration open data for live train departures and arrivals, railway disruptions, road incidents, and measured road weather through MCP tools.

Enables comparing door-to-door travel times by bicycle, motorbike, and public transport alongside local weather, and provides place lookup and API usage tracking.

Beach Safety MCP — comprehensive beach and surf conditions for any beach worldwide: waves, swell, wind, air and water temperature, UV index, rip current risk, and a 1-10 safety score. No API keys needed. Python, stdio transport.

Provides real-time weather alerts from the National Weather Service API via the Model Context Protocol. It allows LLMs to fetch active alerts for specific US states using both STDIO and SSE transport protocols.

Provides real-time access to Swedish road weather, traffic cameras, road conditions, and traffic flow data from Trafikverket (Swedish Transport Administration). Enables users to query weather stations, cameras, traffic situations, and flow data through natural language.

Unified MCP server offering 30 tools for Singapore government and public data including weather, transport, education, and property, with many tools working immediately without API keys.

Enables querying hardcoded weather data for Delhi, Mumbai, and Bangalore through natural language, using a single stdio-transport tool that Claude can discover and call.

A Model Context Protocol server that provides current weather forecasts for specific locations and active weather alerts for US states.

Provides weather information for the United States through the Model Context Protocol. Enables users to query current weather conditions and forecasts for US locations.

A simple Node.js MCP server that exposes three tools: greet for personalized messages, calculate for basic math operations, and weather_info for mock weather data retrieval.

Fetches precipitation forecasts for any location using Buienradar and integrates with Claude for Desktop to provide accurate two-hour weather predictions.

A customizable Model Context Protocol server implementation that enables AI models to interact with external tools including weather queries, Google search, and camera control functionality.

A minimal MCP server built with TypeScript exposing a single mocked weather tool over stdio transport.

A Model Context Protocol tool that provides weather information for cities, with London access requiring Solana devnet payment via the Latinum Wallet MCP server.

Enables AI assistants to access real-time weather data by city and manage HR operations including job applications, recruitment tracking, and interview scheduling through a unified, modular interface with live updates via SSE.

Hosted MCP server for weather forecast data. Enables AI agents to discover datasets, build validated API requests, and execute live weather queries after OAuth.

Provides real-time weather information and multi-day forecasts using the Open-Meteo API through a robust, enterprise-grade architecture. It enables AI assistants to retrieve current conditions, 7-day forecasts, and contextual weather data for any location.

Adapts the HeFeng QWeather MCP server for ModelScope cloud hosting, allowing weather queries through stdio or HTTP with a default stdio entry.

Provides current weather and forecasts for any city via natural language, using OpenWeatherMap API and OpenAI for conversational interface.

Provides weather data integration using the OpenWeatherMap API, enabling users to fetch current weather conditions, hourly and daily forecasts, weather alerts, and geocoding services for any location worldwide.

Provides real-time weather data and current conditions for major Chinese cities and global locations using the wttr.in API. This HelloAgents-based server enables querying of temperature, humidity, and weather status without requiring an external API key.

Provides real-time, historical, and forecasted weather data for any location worldwide using the Open-Meteo API. It includes specialized tools for agricultural growing conditions, weather alerts, and up to 16 days of forecasts across multiple transport modes.

MCP server for NASA POWER climate data, offering a climatology tool to retrieve long-term monthly averages for any coordinate. Supports natural language queries through the Pipeworx gateway.

A monorepo for learning the Model Context Protocol with TypeScript, featuring example MCP servers for weather data and tax calculation.

A Model Context Protocol server that enables AI models to fetch weather alerts and detailed forecasts for US locations using the National Weather Service API.

Enables real-time weather information retrieval and local search history management using Open Meteo APIs. Allows users to get current weather data for any city and access their weather query history through natural language.

Provides weather alerts and forecasts for US locations using the National Weather Service API.

Enables Claude to fetch real-time weather data for any city using the OpenWeatherMap API.

A TypeScript-based Model Context Protocol server that enables Claude Desktop to fetch real-time weather data via external weather APIs. It provides a simple integration for users to query current weather information through natural language interactions.

Enables AI assistants to fetch real-time weather data, forecasts up to 10 days, and compare weather conditions between cities using WeatherAPI.com with support for both Celsius and Fahrenheit units.