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Query hourly global weather forecasts and place-name geocoding in natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "met-mcp" yet — see the docs or source repo.
Get the hourly weather forecast for Oslo for the next 24 hours, listing time, temperature, precipitation probability, and wind speed.
A summary or structured result of Oslo's hourly weather for the next 24 hours.
First geocode “Shanghai Disneyland,” then fetch today's hourly weather forecast for that location.
It returns the geocoding result first, then the hourly forecast for that location.
Compare the weather trends for Tokyo and Seoul over the next 12 hours, focusing on temperature changes and rain chances.
A comparison of the two locations' weather over the next 12 hours.
Researchers, product managers, or office workers can quickly query hourly weather before travel using natural language. If they only know a place name, they can geocode it first and then fetch the forecast.
Developers can connect this MCP tool to AI assistants or automation flows so systems can retrieve global hourly weather and place-location information through natural language.
It provides natural-language access to MET Norway weather forecasts, including worldwide hourly forecast queries and place-name geocoding.
The provided information explicitly says it supports worldwide hourly forecasts. Other time ranges or data fields are not specified in the source material.
The available material does not provide installation steps or say whether an API key or specific runtime is required; see the source repository.
Query weather, forecasts, air quality, and geocoding in natural language.
Query global real-time weather and 16-day forecasts in natural language.
Get real-time weather for cities worldwide with natural language.
Query real-time weather data for cities worldwide with automatic geocoding.
Query current weather and forecasts in natural language for app integrations.
Get city-based weather forecasts through an MCP server using OpenWeather.