Python MCP Korea Weather Service
Related Servers
Alternatives to Python MCP Korea Weather Service
No user-submitted related servers found.
Related Servers
- FlicenseAqualityDmaintenanceAn MCP server that provides Korean weather information from the Korea Meteorological Administration's short-term forecast API, enabling natural language queries about weather conditions such as current weather, rain forecasts, and suitability for outdoor activities.312-
- AlicenseNot gradedqualityCmaintenanceEnables querying South Korean meteorological observation data and short-term forecasts by region name or grid coordinates via the MCP protocol.MIT
- AlicenseAqualityBmaintenanceMCP server providing Korean weather forecasts from the KMA (short-term, hourly, daily) and timezone utilities (current time, conversion, lookup) using only standard Python zoneinfo.6MIT
- FlicenseCqualityDmaintenanceAn MCP server that provides access to current weather data and 5-day forecasts via the Open Weather13 API. It enables users to retrieve weather information using city names or geographic coordinates across various languages.3-
- AlicenseAqualityBmaintenanceMCP server for weather forecasts via Open-Meteo (no API key needed), providing current weather, hourly, and daily forecasts with geocoding support.3MIT
- FlicenseNot gradedqualityDmaintenanceMCP server that provides current weather and forecasts via Open-Meteo API, with an optional ML-based next-day max temperature prediction.-
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: get_forecast retrieves weather forecast data, while get_grid_location provides grid coordinates needed for API calls. There is no overlap in functionality, and an agent can easily tell them apart based on their descriptions.
Both tools follow a consistent verb_noun naming pattern (get_forecast, get_grid_location). The naming is predictable and readable, with no deviations or mixed conventions.
With only two tools, the server feels thin for a weather service domain. While the tools cover forecast retrieval and coordinate lookup, there are likely gaps in functionality (e.g., historical data, alerts, or broader regional coverage) that could limit agent workflows.
The tool set is severely incomplete for a weather service. It lacks essential operations such as historical weather data, severe weather alerts, multi-day forecasts, or location search beyond grid coordinates. Agents will face dead ends when trying to perform common weather-related tasks.