How do I install dependencies?
Run `uv venv` to create a virtual environment, then `uv sync` to install the required packages.
@walidsi
Basic information
A simple MCP server that provides current weather and hourly weather forecasts for a given location using the Open-Meteo API.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"open_meteo_weather": {
"command": "uv",
"args": [
"--directory",
"path/to/openmeteo-weather-mcp/",
"run",
"openmeteo_weather/openmeteo_weather.py"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
A simple MCP server that provides hourly weather forecasts using the Open-Meteo API. Designed for MCP-compatible AI applications.
Clone the repository, create a virtual environment with uv venv, and install dependencies with uv sync. Then configure an MCP client with the provided JSON snippet, setting the command to uv with the directory and script path.
uv and PythonRun `uv venv` to create a virtual environment, then `uv sync` to install the required packages.
Add the JSON configuration to your MCP client, specifying the `uv` command, the directory, and the script `openmeteo_weather/openmeteo_weather.py`.
It uses the Open-Meteo API for weather data.
Python and `uv` (a fast Python package manager) are required.

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