Overview
Key features
- Current weather conditions
- Weather forecasts (1-14 days)
- Historical weather data
- Weather alerts
- Air quality information
- Astronomy data (sunrise, sunset, moon phases)
Pricing
- Model
- Free
- Category
- MCP Servers
- Rating
- No reviews yet
Use cases
AI Assistant Integration
Integrate Weather MCP Server with AI assistants to provide users with real-time weather information and forecasts.
Weather Data Retrieval
Use Weather MCP Server to retrieve current weather conditions, historical data, and weather alerts for a specific location.
Pros & Cons
Pros
- Provides a range of weather-related data
- Built with FastAPI for performance
- Supports AI assistants with MCP protocol
Cons
- Requires WeatherAPI API key for functionality
- Limited to Python 3.13+ environment
Reviews
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Q&A
How can I integrate weather-mcp-server with an AI assistant?
The server implements the Model Context Protocol (MCP) over FastAPI, exposing endpoints for current conditions, forecasts, alerts, etc.; an AI assistant can call these MCP endpoints via HTTP to retrieve weather data.
Asked by Ethan Brooks · Jun 6, 2026
What Python version and environment are required to host the server?
The server runs on Python 3.13 or newer and uses the uv package manager for dependency handling, so you need a compatible Python 3.13+ runtime.
Asked by Valentina Marino · Mar 27, 2026
Do I need any external API keys to run weather-mcp-server?
Yes, the server requires a valid WeatherAPI API key, which you set in a .env file as WEATHER_API_KEY; without it the endpoints will not return data.
Asked by Kirsi Laine · Feb 27, 2026
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