WeatherMCP
Related Servers
Alternatives to WeatherMCP
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityDmaintenanceAn MCP server that provides weather information like forecasts and alerts for US locations using the National Weather Service API.5-
- AlicenseNot gradedqualityDmaintenanceAn MCP server that provides weather alerts and forecasts for US locations using the National Weather Service API.75 npmMIT
- FlicenseBqualityDmaintenanceAn MCP server that provides weather information and alerts for US locations using the National Weather Service API, enabling retrieval of weather forecasts and active weather alerts.2-
- AlicenseBqualityDmaintenanceMCP server that integrates the National Weather Service API to fetch weather alerts for US states and forecasts for coordinates.25 npm1MIT
- FlicenseAqualityCmaintenanceAn MCP server that provides live weather data over stdio, with tools for current conditions, 5-day forecasts, and US weather alerts.310 npm-
- FlicenseNot gradedqualityCmaintenanceMCP server that provides US National Weather Service forecasts and active weather alerts through MCP tools, using no API key but supporting US locations only.-
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: get_alerts retrieves weather alerts for US states, while get_forecast provides forecasts for geographic coordinates. There is no overlap in functionality or ambiguity between them.
Both tools follow a consistent verb_noun naming pattern (get_alerts, get_forecast) with identical verb usage and snake_case formatting. The naming is perfectly predictable and uniform.
With only 2 tools, this server feels thin for a weather domain. It lacks basic operations like current conditions, historical data, or broader geographic coverage, making it insufficient for comprehensive weather-related tasks.
The tool surface is severely incomplete for weather functionality. It misses core operations such as current weather, historical data, multi-day forecasts, or international coverage, leaving significant gaps that will limit agent effectiveness.