chuk-mcp-open-meteo
Related Servers
Alternatives to chuk-mcp-open-meteo
No user-submitted related servers found.
Related Servers
- AlicenseAqualityDmaintenanceProvides comprehensive access to Open-Meteo weather APIs, including forecasts, historical data, air quality, marine weather, and geocoding, enabling LLMs to retrieve weather information and location data.173,055 npm1MIT
- AlicenseBqualityAmaintenanceProvides comprehensive access to Open-Meteo APIs for weather forecasts, historical data, air quality, and marine conditions. It enables LLMs to query specialized meteorological models, perform geocoding, and access advanced climate or flood projections.173,055 npm69MIT
- FlicenseNot gradedqualityCmaintenanceProvides real-time weather data via 12 tools (current weather, forecasts, air quality, umbrella advice, etc.) using Open-Meteo and FastMCP, enabling LLMs to answer weather-related queries.1-
- FlicenseNot gradedqualityDmaintenanceEnables AI agents to access real-time and historical weather data through multiple weather APIs including OpenMeteo, Tomorrow.io, and OpenWeatherMap. Provides comprehensive meteorological information including current conditions, forecasts, historical data, and weather alerts.-
- FlicenseNot gradedqualityCmaintenanceProvides weather forecast tools using Open-Meteo, enabling users to get current conditions, multi-day forecasts, and umbrella recommendations through natural language queries.-
- AlicenseAqualityCmaintenanceProvides weather forecasts and geocoding lookup using free Open-Meteo APIs, enabling LLMs to query real-time weather and multi-day forecasts for any location.16 npmISC
TDQS
Scored across 12 tools
Every tool has a clearly distinct purpose. Singular and batch variants are explicitly separated by name and description, covering different domains (geocoding, weather, air quality, marine, historical, weather codes). No overlaps or confusion.
All tools follow a consistent verb_noun pattern using snake_case. Singular tools use lowercase names (e.g., geocode_location), batch tools are prefixed with 'batch_'. The pattern is predictable and uniform across all 12 tools.
With 12 tools covering geocoding, multiple weather data types, and code interpretation with both singular and batch variants, the count is well-scoped. Each tool serves a needed function without redundancy.
The tool surface covers all major weather-related tasks: geocoding, current/forecast/historical weather, air quality, marine conditions (including tides), and weather code interpretation. Both singular and batch operations are provided, leaving no obvious gaps.