MCP Weather Server
Related Servers
Alternatives to MCP Weather Server
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityDmaintenanceA lightweight Model Context Protocol (MCP) server that gives AI assistants the ability to fetch real-time weather data for any city using the OpenWeatherMap API.1-
- AlicenseBqualityDmaintenanceA simple server that implements the Model Context Protocol, allowing AI models like Claude to fetch real-time weather information for any location using the wttr.in API.410 npm1MIT
- 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
- FlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that enables natural language weather queries for global cities, integrating with OpenWeather API to provide real-time weather information in an easy-to-read format.1-
- 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.-
- FlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that provides current weather information and 3-day forecasts for specified cities using the Open-Meteo API.1-
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: get_alerts retrieves weather alerts for a state, while get_forecast provides weather forecasts for a location. There is no overlap in functionality, making it easy for an agent to select the correct tool based on the need for alerts versus forecasts.
Both tools follow a consistent verb_noun pattern with 'get_' prefix and descriptive nouns (alerts, forecast). This uniformity enhances readability and predictability, making the tool set easy to navigate and understand.
With only 2 tools, the server feels under-scoped for a weather domain, which typically involves more operations like current conditions, historical data, or radar information. This limited set may restrict agent capabilities in handling comprehensive weather-related tasks.
The tool surface is significantly incomplete for a weather server, lacking essential operations such as getting current conditions, historical weather data, or radar imagery. This creates notable gaps that could lead to agent failures when trying to perform common weather-related workflows.