"A server for searching current weather conditions and forecasts" matching MCP servers:

Enables agents to search US federal agency procurement forecasts — what agencies intend to buy months or years before a solicitation exists — filtering by keyword, agency, NAICS, set-aside, fiscal year, and value band, and to pull full detail records with narrative, period of performance, and contacts. Coverage is reported honestly per agency, so results distinguish "nothing planned" from "never checked".

A self-hosted research library with a read-only MCP endpoint for querying paper metadata, abstracts, and BibTeX entries.

Enables querying and comparing operational numerical weather models, including global and regional, deterministic and ensemble, physics-based and AI forecasts, with a unified API.

Enables MCP clients to retrieve current conditions, multi-day forecasts, and historical weather data for any city using plain city names.

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

Provides current weather conditions and forecasts for any location using the Open-Meteo API.

Provides weather data including current conditions, forecasts, and summaries via Open-Meteo with no API key required, enabling natural language queries through an MCP interface.

Provides weather alerts, forecasts, and current conditions for US locations via NWS and for Indian cities/global locations via Open-Meteo.

Enables querying current weather conditions and 1–7 day forecasts by place name through natural language, using Open-Meteo without requiring an API key.

This MCP server provides weather tools for current conditions, forecasts, and travel recommendations using the National Weather Service API, enabling agents to answer weather-related questions.

A Python MCP server that provides current weather conditions and multi-day forecasts for cities worldwide using the Open-Meteo API. It exposes tools to get current weather and forecasts without requiring an API key.

Provides real-time weather and forecast data via MCP tools, enabling AI agents to query current weather and up to 3-day forecasts for any city.

Enables real-time weather forecasts for any city using the Open-Meteo API, with automatic geocoding and no API keys required.

Provides real-time weather data from the US National Weather Service API, enabling users to fetch active alerts for any US state and 5-period forecasts for any latitude/longitude location through natural language.

Provides tools to retrieve current weather conditions and daily forecasts for cities worldwide using the Open-Meteo API. This Python-based server enables MCP-compatible clients to access real-time meteorological data through a standardized interface.

Connects to the Korea Meteorological Administration (KMA) Open API to provide short-term and ultra-short-term weather forecasts for South Korea. It enables users to query current weather conditions and future forecasts based on latitude and longitude.

Enables MCP clients to retrieve active weather alerts for US states and five-period forecasts for US coordinates.

Provides an LLM with tools to retrieve US National Weather Service forecasts and active alerts, enabling natural-language answers about current conditions.

Enables MCP hosts like Cursor to retrieve US National Weather Service alerts and forecasts through tools, along with a resource and prompt for weather lookups.

Provides real-time weather forecasts and alerts for US locations using the National Weather Service API, allowing users to query weather alerts by state and forecasts by coordinates.