A MCP for weather data that offers real-time weather details, forecasts, and historical weather information for various cities using Open-Meteo API.
Added on:
Created by:
Apr 27 2025
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What is Weather MCP Server?
The Weather MCP Server enables users to retrieve accurate and up-to-date weather information for specific cities. It supports current weather data, weather forecasts, and historical weather records, making it ideal for developers and organizations needing reliable weather data integration. The server is easy to install through pip, and it offers tools for getting current weather conditions, forecast data within date ranges, and local time in various time zones. Its open-source nature and API-based architecture make it flexible for integration into larger applications, apps, or data analysis workflows.
Who will use Weather MCP Server?
- Developers integrating weather data into applications
- Research institutions analyzing weather patterns
- Organizations needing real-time weather updates
- Smart home and IoT developers
- Mobile app developers with weather features
How to use the Weather MCP Server?
- Step 1: Install the server via pip using `pip install mcp_weather_server`.
- Step 2: Configure your `cline_mcp_settings.json` to include the weather MCP server.
- Step 3: Use the available tools like `get_weather` or `get_weather_by_datetime_range` with appropriate parameters.
- Step 4: For real-time updates, call `get_current_datetime` for local time in your desired timezone.
- Step 5: Integrate the API into your application or workflow to automate weather data retrieval.
Weather MCP Server's Core Features & Benefits
The Core Features
- get_weather
- get_weather_by_datetime_range
- get_current_datetime
The Benefits
- Provides accurate and real-time weather data
- Supports historical and forecast weather data
- Easy to install and configure
- No API key required, free open-source API
- Flexible for integration into various applications
Weather MCP Server's Main Use Cases & Applications
- Building weather forecast features in mobile apps
- Historical weather data analysis for research
- Smart home automation based on weather conditions
- Integrating weather data into travel or outdoor planning apps