Weather Forecast
Fetches current weather conditions and forecasts via MCP tools for specified locations. Supports global queries for hourly and daily predictions. Developers and data analysts use it to integrate real-time weather data into applications, AI agents, dashboards, and automation workflows.
Overview
The @lulzasaur9192/mcp-weather-forecast MCP server provides programmatic access to weather data, enabling AI models to retrieve current conditions and forecasts for locations worldwide through standardized MCP tools.
Key Capabilities
- Weather data retrieval: Queries current temperature, precipitation, wind, and conditions by city, coordinates, or ZIP code.
- Forecast functions: Delivers hourly and multi-day predictions including temperature ranges, humidity, UV index, and severe weather alerts.
- Location-based lookups: Resolves addresses to coordinates and handles international queries.
These capabilities operate via MCP protocol for seamless integration with language models.
Use Cases
- Build a chatbot that answers 'What's the weather in Tokyo tomorrow?' using forecast tools to pull hourly data.
- Create dashboards in analytics apps that display live weather overlays for sales teams tracking outdoor events.
- Automate IoT alerts for agriculture by querying daily forecasts to predict rain impacts on crops.
- Enhance travel apps with current conditions and 7-day outlooks fetched on user location input.
Who This Is For
Developers integrating weather into web/mobile apps, data analysts building environmental dashboards, AI engineers creating context-aware agents, and automation scripters handling location-based decisions.