MCP Weather Server

@Hritik003

Repository

Basic information

About MCP Weather Server

A simple MCP server for weather

#python #mcp #weather

MCP Weather Server config

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

{
  "mcpServers": {
    "weather": {
      "command": "uv",
      "args": [
        "--directory",
        "<path/to/weather>",
        "run",
        "weather"
      ]
    }
  }
}

MCP Weather Server tools

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.

Overview

What is MCP Weather Server?

A lightweight Model Context Protocol (MCP) server designed for handling weather data, with a Command-Line Interface (CLI) client for interaction. This project demonstrates how to create and interact with an MCP server, focusing on weather-related information.

How to use MCP Weather Server?

Clone the repository, then start the server with uv --directory <path/to/weather> run weather in the Server directory, and start the client with uv run client.py <path/to/server.py> in the mcp-Client directory. Requires Python 3.12 or higher and asyncio; additional packages are listed in requirements.txt.

Key features of MCP Weather Server

Modular MCP server for weather data handling
CLI client for server interaction
Asynchronous communication using asyncio
Easy extensibility for additional commands or data formats

Use cases of MCP Weather Server

Learning how to build and interact with an MCP server
Demonstrating asynchronous client-server communication
Experimenting with weather data handling via CLI

Frequently asked questions

What is the MCP Weather Server?

It is a lightweight MCP server that handles weather data and includes a CLI client for interaction, designed to demonstrate creating and using an MCP server.

What are the system requirements?

Python 3.12 or higher and the `asyncio` library. Additional dependencies are listed in `requirements.txt`.

How do I start the server and client?

Start the server by running `uv --directory <path/to/weather> run weather` in the `Server` folder. Then start the client with `uv run client.py <path/to/server.py>` in the `mcp-Client` folder.

Can I extend the server with new commands?

Yes, the server is designed to be easily extensible to support additional commands or data formats.

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