What data does the forecast tool return?
It returns a formatted string with daily maximum and minimum temperature, precipitation, and a weather code for each day.
@michaelwybraniec
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-weather-michaelwybraniec": {
"command": "python3",
"args": [
"-m",
"venv",
".venv"
]
}
}
}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.
MCP Server Weather is a lightweight microservice built with FastMCP that provides weather forecasts and current weather data using the free Open‑Meteo API. It is designed for developers who want to integrate weather information into LLM‑powered applications through the Model Context Protocol.
Install Python 3.13+, clone the repository, install dependencies with pip install -r requirements.txt, then run python server.py. The server exposes two tools: get_forecast(latitude, longitude) and get_current_weather(latitude, longitude). For testing, use mcp dev server.py and connect via the inspector at http://localhost:5173.
It returns a formatted string with daily maximum and minimum temperature, precipitation, and a weather code for each day.
It returns a JSON object containing current temperature, wind speed and direction, humidity, pressure, precipitation, cloud cover, and more.
Python 3.13 or newer, and the Python packages `httpx >= 0.28.1` and `mcp[cli] >= 1.9.2`.
All data is fetched on demand from the Open‑Meteo API – no local storage or third‑party API keys are needed.
The server uses the stdio transport, meaning it communicates with clients (e.g., Claude Desktop) via standard input/output.

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