weather-china-mcp
Related Servers
Alternatives to weather-china-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceReal-time weather query MCP server for Chinese cities and global cities using wttr.in API.MIT
- FlicenseAqualityDmaintenanceEnables querying real-time weather, forecasts, and warnings for Chinese cities via the QWeather API.3-
- AlicenseNot gradedqualityDmaintenanceAn MCP server that provides real-time weather information, 4-day forecasts, and city search functionality for Chinese cities via the AMap API. It enables users to query weather data using city names or administrative codes through natural language interactions.1MIT
- AlicenseNot gradedqualityBmaintenanceProvides real-time weather information for major Chinese cities and global locations using the wttr.in API. Supports weather queries, listing supported cities, and server info via MCP tools.MIT
- AlicenseBqualityDmaintenanceProvides weather forecast data for locations in China through HeFeng Weather API, supporting real-time, hourly, and daily forecasts with full Chinese weather descriptions.312 npmISC
- FlicenseNot gradedqualityDmaintenanceAn MCP server integrated with the QWeather API that provides real-time weather forecasts and meteorological warnings for AI assistants. It enables users to query current conditions and disaster alerts for specific cities or coordinates.15 npm-
TDQS
Scored across 2 tools
The two tools are clearly distinct: one provides real-time current weather, the other provides a 3-day forecast. There is no overlap or ambiguity in their purposes.
Both tools follow the exact same verb_noun pattern (get_weather, get_forecast), using consistent snake_case and a clear 'get_' prefix.
With only 2 tools, the server feels thin for a weather service, but it is functional for basic real-time and forecast queries. This falls on the borderline low end.
The core weather operations (current conditions and forecast) are covered, but gaps exist for additional useful features like air quality, historical data, or location suggestions, which agents might expect from a comprehensive weather server.