"Library Documentation" matching MCP servers:

Provides access to official MeteoSwiss weather data, including regional reports, daily forecasts, and website search functionality across multiple languages. It enables AI assistants to retrieve real-time weather information and documentation from MeteoSwiss using the Model Context Protocol.

Enables AI agents to pull the Astronomy Picture of the Day, near-Earth asteroid close approaches, Mars rover imagery, and image-library media, plus space-weather events such as solar flares, coronal mass ejections, geomagnetic storms and solar energetic particles. Also surfaces forecaster alerts, watches, warnings and weekly summaries for space-weather situational awareness.

A tutorial-based MCP server that fetches real-time weather data from the OpenWeatherMap API for specified locations. It serves as a practical example for implementing the Model Context Protocol using Python and the FastMCP library.

A Python template for creating MCP servers with embedded documentation, featuring example weather service tools using the NWS API.

A server that integrates the MCP library with OpenAI's API, allowing users to interact with various tools, such as the weather tool, through natural language queries.

A service for calculating Islamic prayer times, Qiblah direction, and moon visibility using the islamic_times library.