Weather MCP Server

Name: Weather MCP Server
Author: bittush8789

@bittush8789

About Weather MCP Server

Creating MCP (Model Context Protocol) weather-related projects involves setting up an MCP server that can fetch and provide weather data.

#weather #mcp #weather-server

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-bittush8789": {
      "command": "uv",
      "args": [
        "run",
        "weather.py"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Weather MCP Server?

The Weather MCP Server fetches weather data from the National Weather Service API. It provides two tools: get_alerts for active weather alerts in a US state and get_forecast for a short-term forecast at a given latitude/longitude. It is intended for developers using the Model Context Protocol (MCP) framework.

How to use Weather MCP Server?

Install dependencies using uv add mcp[cli] httpx requests, then run the server with uv run weather.py. The server communicates via standard I/O. For MCP client integration, add a configuration entry to your config.json specifying the path to uv and the project directory.

Key features of Weather MCP Server

get_alerts(state) returns active weather alerts for a US state.
get_forecast(latitude, longitude) returns a short-term forecast.
Leverages the National Weather Service API.
Requires Python 3.7+ and the httpx library.
Uses standard I/O for transport.

Use cases of Weather MCP Server

Checking severe weather alerts for a specific US state.
Obtaining a short-term weather forecast for a coordinate location.
Integrating live weather data into any MCP‑compatible client.

FAQ from Weather MCP Server

What data source does the server use?

It fetches weather data from the National Weather Service API.

What tools are available?

The server offers get_alerts(state) for alerts and get_forecast(latitude, longitude) for forecasts.

What are the software requirements?

Python 3.7 or later, the httpx library, and the MCP framework package mcp[cli].

How do I configure an MCP client to use this server?

Add an entry to your client’s config.json with the command set to your uv binary and arguments including --directory, the project path, run, and weather.py.

What transport mechanism does the server use?

The server communicates over standard I/O (stdio).

Comments

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