MCP Weather
Related Servers
Alternatives to MCP Weather
No user-submitted related servers found.
Related Servers
- FlicenseBqualityDmaintenanceA Model Context Protocol (MCP) server that provides US weather forecasts and active alerts using the National Weather Service API.2-
- AlicenseBqualityCmaintenanceA Model Context Protocol server that provides weather information and forecasts based on user location or address input.668MIT
- AlicenseBqualityDmaintenanceA Model Context Protocol server that provides real-time weather data and forecasts for any city.17ISC
- FlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that provides real-time weather alerts and forecasts using the National Weather Service API.-
- FlicenseNot gradedqualityCmaintenanceA Model Context Protocol server that interfaces with OpenWeatherMap API to provide real-time weather information and forecasts for cities worldwide.-
- 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: one provides daily forecasts for up to 15 days, while the other provides hourly forecasts for the next 12 hours. There is no overlap in functionality, and an agent can easily differentiate between them based on the time granularity and forecast duration.
Both tools follow a consistent naming pattern with a prefix 'weather-' followed by a verb_noun structure (get_daily, get_hourly). This pattern is predictable and enhances readability, making it easy for agents to understand the tool's purpose at a glance.
With only 2 tools, the server feels under-scoped for a weather domain. While the tools cover forecast retrieval, there are obvious gaps such as current weather conditions, historical data, or location-based searches, making the set too thin for comprehensive weather-related tasks.
The tool surface is severely incomplete for a weather server. It lacks essential operations like getting current weather, searching locations, or accessing historical data, which are core to weather applications. Agents will face dead ends when trying to perform basic weather queries beyond forecasts.