Weather CLI App MCP Server

@aryankarn

Repository

Basic information

About Weather CLI App MCP Server

A weather MCP server that provides weather alerts and forecasts using the National Weather Service API

#weather-cli#weather-app#mcp-server

Weather CLI App MCP Server config

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

{
  "mcpServers": {
    "Weather CLI App": {
      "command": "python",
      "args": [
        "-m",
        "weather"
      ]
    }
  }
}

Weather CLI App MCP Server tools

Tool list not available yet

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Overview

What is Weather CLI App?

A lightweight MCP server that fetches active weather alerts and forecasts from the National Weather Service API. It provides two tools for use by AI assistants that support the Model Context Protocol, making real-time U.S. weather data accessible through conversational interfaces.

How to use Weather CLI App?

Install the package with pip install -e . in a Python 3.11+ environment, then configure an MCP-compatible AI assistant to connect to the server. Once connected, the assistant can call the get_alerts tool (US state code) to retrieve active alerts or the get_forecast tool (latitude, longitude) to obtain a 7-day forecast.

Key features of Weather CLI App

Retrieve active weather alerts for any U.S. state
Get weather forecasts for any coordinates
MCP server implementation for AI assistant integration
Uses National Weather Service API (no API key required)
Built with httpx for asynchronous HTTP requests

Use cases of Weather CLI App

An AI assistant notifying a user of severe weather in their state
Obtaining a forecast to help plan outdoor events or travel
Embedding weather-driven decision logic into automated agent workflows
Providing real-time weather context during user conversations

Frequently asked questions

What data source does this server use?

It uses the National Weather Service (NWS) API. No API key is required, but users should respect NWS rate limits.

What tools does it expose?

Two tools: `get_alerts` (takes a two-letter US state code) and `get_forecast` (takes latitude and longitude coordinates).

What are the installation requirements?

Python 3.11 or higher. The package is installed with `pip` (not `uv`); it uses the MCP framework, httpx, and the standard MCP server tools.

How do I troubleshoot "spawn uv ENOENT" errors?

This error occurs if the environment tries to use `uv` instead of `pip`. Ensure the package is installed with `pip` and run the server manually via `python -m weather` to check for additional errors.

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