Open-Meteo MCP Server
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- FlicenseAqualityCmaintenanceProvides current weather data for any city using the Open-Meteo API, exposed as an MCP tool for integration with MCP clients.1-
- FlicenseNot gradedqualityCmaintenanceProvides current weather conditions, multi-day forecasts, and umbrella recommendations for any location using the Open-Meteo API. Enables natural language weather queries through MCP tools.-
- 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.6MIT
- AlicenseNot gradedqualityBmaintenanceProvides weather data including current conditions, forecasts, and summaries via Open-Meteo with no API key required, enabling natural language queries through an MCP interface.MIT
- FlicenseNot gradedqualityCmaintenanceMCP server that provides real-time weather data, forecasts, city weather comparisons, and travel recommendations using the OpenMeteo API, enabling AI agents to answer weather-related queries and suggest optimal travel conditions.-
- AlicenseAqualityCmaintenanceProvides 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
TDQS
Scored across 7 tools
Each tool serves a distinct purpose: city search, current weather, forecast, comparison, warmest day lookup, packing context, and packing advice. No overlap or ambiguity between tool functions.
All tool names follow a consistent verb_noun pattern (search_city, get_weather, get_weather_forecast, compare_weather, find_warmest_day, get_packing_context, generate_packing_advice). The verbs and nouns are clear and uniformly formatted.
With 7 tools, the set is well-scoped for a weather domain. It provides enough functionality to cover common queries without being overwhelming or redundant.
The tool set covers the full range of expected weather operations: searching locations, retrieving current conditions, forecasts, comparisons, warmest day identification, and even packing-specific context and advice. No obvious gaps for a typical weather assistant.