MCP Weather Server
Related Servers
Alternatives to MCP Weather Server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceWraps the OpenWeatherMap API to provide weather data through MCP, enabling AI agents to query current conditions, forecasts, and other weather information via natural language.3 npmMIT
- AlicenseNot gradedqualityDmaintenanceProvides weather data from OpenWeatherMap API through MCP tools and a REST API with OpenAPI support. Enables LLM agents to retrieve current weather, forecasts, and temperature ranges by city or coordinates.7 npmMIT
- AlicenseAqualityDmaintenanceProvides real-time weather and forecast data via MCP tools, enabling AI agents to query current weather and up to 3-day forecasts for any city.3MIT
- FlicenseNot gradedqualityCmaintenanceEnables AI agents to retrieve live weather updates for any city via OpenWeatherMap, wrapped in MCP format.1-
- FlicenseNot gradedqualityDmaintenanceEnables MCP clients like Kiro and Claude to access current weather conditions and forecasts for any location using the OpenWeatherMap API.-
- AlicenseNot gradedqualityCmaintenanceProvides weather data from WeatherAPI.com through MCP, enabling AI agents to query current conditions and forecasts via natural language.2 npmMIT
TDQS
Scored across 2 tools
The two tools have distinct purposes: get_weather for current conditions and get_forecast for multi-day predictions. However, the names could cause minor confusion as 'weather' and 'forecast' are semantically related, but the descriptions clearly differentiate them.
Both tools follow a consistent verb_noun pattern with 'get_' prefix and snake_case naming. This makes them predictable and easy to understand at a glance.
With only two tools, the server feels under-scoped for a weather domain. It lacks operations like historical data, alerts, or location-based searches, which are common in weather APIs and would enhance agent capabilities.
The toolset is severely incomplete for a weather server. It covers current and forecast data but misses essential operations like historical weather, severe alerts, air quality, or multi-location queries, leaving significant gaps for agent workflows.