mcp-swedish-weather
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Alternatives to mcp-swedish-weather
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- FlicenseAqualityDmaintenanceProvides access to Swedish weather data from SMHI, including 10-day forecasts and historical observations from over 996 stations.4-
- FlicenseNot gradedqualityCmaintenanceMCP server that provides real-time weather data, forecasts, and historical weather information from SMHI (Swedish Meteorological and Hydrological Institute) for any location in Sweden.2-
- AlicenseAqualityDmaintenanceProvides access to Danish weather data from the Danish Meteorological Institute, enabling users to retrieve current conditions, hourly forecasts, and historical records. It supports location lookups via city names, postal codes, and coordinates for any Danish region.310 npmMIT
- FlicenseNot gradedqualityDmaintenanceProvides real-time weather and forecasts via Open-Meteo, supporting queries by coordinates or city name.-
- FlicenseBqualityDmaintenanceProvides current weather conditions and forecasts for any location using the Open-Meteo API.2-
- AlicenseNot gradedqualityCmaintenanceProvides live weather data (current conditions, forecasts) and city geocoding through Open-Meteo API, enabling AI assistants to answer weather queries without an API key.MIT
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: one provides current weather data, while the other provides forecast data. There is no overlap or ambiguity between them, as each targets a specific temporal aspect of weather information.
Both tools follow a consistent naming pattern with a descriptive adjective_noun structure (current_weather, weather_forecast). The naming is uniform and predictable, making it easy to understand their functions at a glance.
With only two tools, the server feels thin for a weather domain that typically requires more comprehensive coverage, such as historical data, alerts, or location search. While the tools cover current and forecast data, the scope is limited and may not support complex agent workflows effectively.
The toolset is significantly incomplete for a weather server, lacking essential operations like historical weather data, location search/autocomplete, weather alerts, or multi-day forecasts. This creates gaps that could lead to agent failures when handling broader weather-related queries.