Weather MCP Server

A Model Context Protocol (MCP) server built with FastMCP that provides US weather forecasts and active alerts using the National Weather Service (NWS) API.

Features (Tools Provided)

When connected to an AI assistant, it provides the following tools:

• get_alerts(state: str): Fetches active weather alerts for a US state (e.g. "CA", "NY").

• get_forecast(latitude: float, longitude: float): Fetches detailed weather forecasts for a specific geographic coordinate.

Related MCP server: MCP Weather Server

Project Structure

• weather.py: The main FastMCP server containing the API calls and tool definitions.

• .venv/: The Python virtual environment for isolated dependencies.

• pyproject.toml / main.py: Other configuration and entry point scripts.

Installation & Setup

1. Make sure you are using the virtual environment:

   source .venv/bin/activate

2. Required packages are likely already installed, but if not:

   pip install "mcp[cli]" httpx

Testing Locally

You can test the MCP tools locally through a web interface using the MCP Inspector:

npx @modelcontextprotocol/inspector "/Users/name/mcp servers/.venv/bin/python" "/Users/name/mcp servers/weather.py"

Connecting to AI Clients (e.g., Claude Desktop)

To use this server with Claude Desktop, add the following to your claude_desktop_config.json file:

{
  "mcpServers": {
    "weather": {
      "command": "/Users/name/mcp servers/.venv/bin/python",
      "args": [
        "/Users/name/mcp servers/weather.py"
      ]
    }
  }
}

Restart Claude and it will now have access to live formatting and tracking for US weather!