MCP Weather SSE Server
Related Servers
Alternatives to MCP Weather SSE Server
No user-submitted related servers found.
Related Servers
- AlicenseBqualityDmaintenanceA Model Context Protocol server that provides comprehensive weather data and forecasts through the OpenWeatherMap API, enabling AI assistants to access real-time weather information, forecasts, air quality data, and location services.1137 npm5MIT
- AlicenseBqualityDmaintenanceA Model Context Protocol server that provides real-time weather information and 5-day forecasts to AI assistants, supporting multiple languages and flexible units.312 npmMIT
- FlicenseNot gradedqualityDmaintenanceA Model Context Protocol (MCP) server that enables AI assistants and LLMs to access real-time weather data and forecasts by connecting to the OpenWeatherMap API.-
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that provides weather information using the Open-Meteo API, allowing users to get current weather for specific cities and retrieve weather data for date ranges.Apache 2.0
- FlicenseAqualityDmaintenanceA Model Context Protocol (MCP) server that provides weather data using the OpenWeather One Call API 3.0. This server allows AI agents to access current weather, forecasts, and historical weather data for any location.313 npm-
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that enables users to fetch weather forecasts through Cursor AI by using natural language queries.MIT
TDQS
Scored across 5 tools
Multiple tools have overlapping purposes that could cause confusion. get_current_weather and get_weather_by_coordinates both retrieve current weather data but use different input parameters (city vs coordinates). get_forecast and get_weather_forecast both provide forecast data but use different data sources (NWS vs OpenWeatherMap) and input formats. An agent would struggle to choose between these overlapping tools.
The naming follows a consistent verb_noun pattern throughout (get_alerts, get_current_weather, get_forecast, get_weather_by_coordinates, get_weather_forecast). All tools start with 'get_' followed by a descriptive noun phrase. The only minor deviation is that some names include 'weather' while others don't, but the pattern remains readable and predictable.
With 5 tools, the count is reasonable for a weather server. However, given the overlap between tools, the effective surface area is smaller than the tool count suggests. The number is appropriate for the domain, but the redundancy means some tools don't fully earn their place in the set.
The server covers current weather and forecasts through multiple methods, plus alerts for US states. However, there are notable gaps: no historical weather data, no air quality information, and inconsistent geographic coverage (some tools are US-only while others are global). The surface provides multiple ways to get similar data but lacks breadth across weather-related dimensions.