MCP server that provides statistically rigorous weather and climate context by exposing the Baseline API as agent tools, enabling queries about climate conditions and comparisons against historical data.
An MCP server that uses Playwright to scrape Israeli weather forecasts from weather2day.co.il by automating a real browser, enabling an LLM to answer questions about current conditions and hourly forecasts for Israeli cities.
A Model Context Protocol server for space weather and geomagnetic conditions, enabling AI agents to answer queries about solar flares, solar wind, geomagnetic storms, aurora forecasts, and more from authoritative data.
A Model Context Protocol server that provides real astronomical data (planetary positions, lunar phases, space weather) with astrological interpretations to help users make decisions about deployments, incident analysis, and scheduling.
Enables AI assistants to answer natural-language questions about environmental monitoring stations, returning real-time readings, hourly time-series, and combined station overviews. Supports per-user account binding and OAuth 2.1 authorization so each user only sees stations within their own permissions.
An MCP server that provides Korean weather information from the Korea Meteorological Administration's short-term forecast API, enabling natural language queries about weather conditions such as current weather, rain forecasts, and suitability for outdoor activities.
Provides an LLM with tools to retrieve US National Weather Service forecasts and active alerts, enabling natural-language answers about current conditions.
Provides Swiss Aare river swimming data including water temperature, flow rates, safety assessments, and forecasts. Enables AI assistants to answer questions about current conditions, compare cities, and provide safety recommendations based on official BAFU thresholds.
Connects MCP clients to Weathersight weather data APIs, enabling queries about historical observations, typical climate, extremes, degree days, and long-term trends for locations worldwide.
Provides real-time weather data, forecasts, and historical weather information from OpenWeatherMap API for Claude Desktop, enabling natural language queries about current conditions, forecasts, air quality, and weather alerts worldwide.
Exposes historical hourly weather data (temperature, humidity, wind chill, cloud cover) via the free Open-Meteo API, requiring no API key, and lets Claude answer questions about past weather conditions.
Enables MCP clients such as Claude and ChatGPT to answer questions about French mushroom growing conditions from Bredouille's published index: per-species conditions and best days for a 1 km cell, the drivers behind an index value, commune geocoding, reliability figures, and local picking and hunting rules. It reads public data only, keeps no state, and returns conditions rather than mushroom identifications, always with a safety note to have any harvest checked.
Enables AI assistants to fetch live environmental telemetry, verify local Fire TV and smart-meter hardware over TCP sockets, calibrate display and audio settings, orchestrate smart-home scenes, calculate energy savings, and answer natural-language questions about its capabilities.
Provides LLM context on U.S. national parks by integrating National Park Service, Recreation.gov, and weather APIs, enabling queries about park info, trails, alerts, events, weather forecasts, and more via tool calls.
Enables Claude to fetch live US National Weather Service data: active alerts for a state or territory, and up-to-7-day forecasts for any latitude/longitude in the US. Needs no API key, so users can simply ask in plain language about warnings, watches, and upcoming conditions.
Enables MCP clients to connect to a Bosch eBike Connect Classic account and ask about rides, statistics, bikes, saved routes and places, weather and account settings, and to export activities as GPX, TCX or CSV. Supports multiple users signing in with their own accounts through OAuth 2.1, with read-only tools except for disconnecting and deleting the user's stored data.
A Python MCP server with JWT authentication and sample tools (weather + Bitcoin price), plus an AI agent that uses OpenAI to reason about and call those tools.
A weather MCP server that provides current conditions, forecasts, and prediction tools (umbrella, travel recommendations) so agents can answer natural-language weather questions.
This MCP server provides real-time weather data, multi-day forecasts, and umbrella recommendations using the Open-Meteo API. It enables natural-language queries about current conditions, future forecasts, and precipitation-based advice.