An MCP server that provides real-time surf intelligence, including wave quality scoring, beach discovery, session planning, and forecast analysis across 12+ global data sources. It turns AI assistants into surf-savvy copilots for finding the perfect wave.
Provides surf forecast data including swell height, period, direction, and wind conditions for any location worldwide using the Open-Meteo Marine API. It also includes tools to find the best day to surf and integrates with MCP clients via a Python server.
A minimal Python MCP server that provides surf forecasts for a single Surfline spot. It fetches both conditions and rating data through the get_surf_forecast tool.
This MCP server provides access to Open-Meteo weather APIs including forecast, historical reanalysis, geocoding, air quality, marine weather, and flood risk data, enabling AI agents to retrieve weather information using natural language.
