"How to make a model aware of the current time before thinking" matching MCP servers:

MCP server providing Korean weather forecasts from the KMA (short-term, hourly, daily) and timezone utilities (current time, conversion, lookup) using only standard Python zoneinfo.

MCP server enabling real-time weather queries via Tavily API and internet usage data by country via MongoDB.

Enables interactive access to JAXA's satellite observation data (precipitation, land surface temperature, NDVI, elevation, soil moisture) via Claude, providing tools for point time series, dataset information, and area image generation.

Provides current weather alerts for specified locations to AI assistants through the Model Context Protocol.

Enables MCP-compliant clients such as Claude Desktop to fetch live conditions and forecasts for any location, optionally including temperature, feels-like temperature, humidity, wind, and precipitation, without requiring API keys.

Integration platform for aviation data sources including weather, NOTAMs, airport information, and flight planning APIs, enabling comprehensive pre-flight preparation and in-flight decision support.

Provides real-time weather forecasts and international time details through MCP tools, including geocoding, hourly/daily forecasts, and timezone information for any city.

Provides real-time air quality data (US AQI, PM2.5, PM10, ozone, NO2, SO2, CO) for any city via natural language, using free Open-Meteo data and a single tool.

Solar vitamin D: whether the sun where you are can make vitamin D right now, how many minutes your Fitzpatrick skin type needs for a target dose, which months of the year synthesis is possible at your latitude, and how much a sun session produced. Computed from solar geometry, a clear-sky UV model with ozone and altitude, and live Open-Meteo UV data.

Provides AI clients with real-time tools for math evaluation, timezone-aware time lookup, live weather retrieval, and persistent note management, all accessible over the Model Context Protocol via stdio.

Provides weather information and time utilities for AI assistants, enabling them to fetch current weather for any city and get the current timestamp.

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.

A minimal Python-based server that provides real-time weather data and a safe mathematical expression evaluator. It enables users to fetch current weather conditions and perform complex calculations using the Model Context Protocol.

A remote MCP server that exposes a get_weather tool for real-time current weather queries of any city via the free wttr.in API, supporting Streamable HTTP transport.

Enables retrieval of current weather conditions via OpenWeather and multi-day forecasts via keyless Open-Meteo, with place lookups geocoded through Nominatim. Also exposes the server's current date and time for a configurable timezone and identifies which client an API key belongs to.

A minimal Express-based MCP server that exposes a weather tool through HTTP endpoints, demonstrating how to implement the Model Context Protocol with streamable HTTP transport.

Provides real-time weather information for any location using the Open-Meteo API, enabling AI models to query current weather data through the Model Context Protocol.

Enables clients to retrieve current weather conditions, including temperature, feels-like temperature, rain, humidity, time of day, and WMO code, for a location through the get_current_weather tool.

Enables users to get real-time weather information for any city in the world. Provides current temperature and weather conditions through a simple city name query.

Provides real-time weather forecasts, current conditions, and smart umbrella recommendations through MCP tools, backed by the Open-Meteo API.

Enables AI agents to retrieve current weather conditions and 3-day forecasts for cities through standardized MCP tools over stdio.

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.

Fetches real-time meteorological data from the Open-Meteo API for a city, returning structured current conditions and a human-readable summary over stdio.

A production-ready MCP server that provides real-time weather information, forecasts, air quality, and weather alerts through the OpenWeatherMap API. It integrates with Claude Desktop and other MCP-compatible clients for natural language weather queries.

MCP server for SMHI weather data, providing current conditions, hourly and daily forecasts, and daily summaries for northern Europe.

MCP server that exposes NOAA/SWPC HF band-condition and space-weather tools, providing real-time solar indices, band conditions, forecasts, alerts, solar wind, and X-ray flux for ham radio operators.

Provides AI assistants with access to real-time space weather data and forecasts from NOAA's Space Weather Prediction Center, enabling queries and interpretations of geomagnetic storms, solar flares, and related indices.

Provides real-time water temperature and tide predictions for any lake, river, ocean, bay, or beach using NOAA, USGS, and other sources.

Enables querying current weather conditions for a named location with an optional country code, returning structured results that include units, time, resolved location, and data source.

Enables agents to answer whether it's a good day to go up, hike, or take the cable car, and to rank the best day in the seven-day forecast using live weather, summit conditions, cable car status, and hours. It adds freshness warnings, out-of-forecast handling, clear errors, and an eval suite for validating agent tool use.