Indian Weather
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Provides detailed weather information, air quality data, and agricultural insights for Indian cities via a Model Context Protocol server.
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A comprehensive Model Context Protocol (MCP) server, the Indian Weather tool delivers detailed weather forecasts, air quality data, and crucial agricultural insights specifically tailored for Indian cities. Leveraging Open-Meteo APIs and built with TypeScript, it offers real-time current conditions, multi-day forecasts, historical analysis, and specialized indexes for health and farming, making it an essential resource for various weather-dependent applications.
Características Principales
- Historical weather analysis for up to 30 days, identifying trends and patterns.
- Multi-city weather comparison to identify extremes and temperature differences across Indian cities.
- Agricultural weather intelligence, providing soil moisture, Growing Degree Days (GDD) for specific crops, and monsoon status with farming recommendations.
- Comprehensive weather forecasting, including current, hourly, and daily predictions, plus Air Quality Index (AQI).
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- Health and comfort indexes, such as Heat Index, UV Index, and personalized comfort assessments with health recommendations.
Casos de Uso
- Integrate with MCP-compatible applications like Claude Desktop for real-time weather data.
- Utilize an interactive client for development, testing, and manual weather queries across various tools.
- Deploy as a standalone server for production environments or API gateway implementations, optionally using process managers like pm2.
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