What runtime does Weather Forecast Tool require?
It requires Python 3.13 or later and the following standard library modules: `collections`, `datetime`, `typing`, `asyncio`, `json`, as well as third-party packages `httpx` and `mcp.server.fastmcp`.
@hitechdk
Basic information
Get weather forecasts using an AI agent and an MCP server.
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool 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.
Weather Forecast Tool is a Python program that fetches and summarizes weather forecasts for a given location using the MET Norway API. It uses the FastMCP framework for tool registration and httpx for asynchronous HTTP requests.
Install dependencies (Python 3.13+, httpx, mcp.server.fastmcp), obtain latitude and longitude for the desired location, import the modules and initialize a FastMCP server named "weather". Then call the get_weather(latitude, longitude) tool asynchronously.
It requires Python 3.13 or later and the following standard library modules: `collections`, `datetime`, `typing`, `asyncio`, `json`, as well as third-party packages `httpx` and `mcp.server.fastmcp`.
It fetches data from the MET Norway API (`https://api.met.no/weatherapi/locationforecast/2.0`) using asynchronous HTTP requests.
The `get_weather` tool expects two float arguments: `latitude` and `longitude` of the location.
The tool returns a string containing a formatted daily weather forecast with most frequent weather symbols for periods of the day and temperature ranges.
Yes, the README states that the forecast will be returned in local time.

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