Weather MCP Server

A Model Context Protocol (MCP) server that provides real-time weather information for any location worldwide using the wttr.in service.

Overview

This MCP server exposes a fetch_weather tool that allows AI assistants like Claude to retrieve current weather information for any city or location. It's built using FastMCP and provides a simple, reliable interface for weather data.

Features

• 🌤️ Real-time weather information for any location
• 🌍 Worldwide coverage
• ⚡ Fast and lightweight
• 🔌 Easy integration with MCP-compatible clients (Claude Desktop, etc.)
• 📦 Simple setup with minimal dependencies

Prerequisites

• Python 3.12 or higher
• uv package manager (recommended) or pip

Installation

1. Clone this repository:

git clone <your-repo-url>
cd weather-mcp

2. Install dependencies using uv:

uv pip install -e .

Or using pip:

pip install -e .

Configuration

Claude Desktop

To use this server with Claude Desktop, add the following configuration to your Claude Desktop config file:

MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "weather-bot": {
      "command": "uv",
      "args": [
        "--directory",
        "/absolute/path/to/weather-mcp",
        "run",
        "main.py"
      ]
    }
  }
}

Replace /absolute/path/to/weather-mcp with the actual path to this project directory.

Usage

Once configured, the weather tool will be available to your AI assistant. You can ask questions like:

• "What's the weather in London?"
• "Tell me the current weather in New York"
• "How's the weather in Tokyo?"

Running Standalone

You can also run the server directly for testing:

python main.py

Or test the weather function directly:

python tools/weather.py

Available Tools

fetch_weather

Retrieves current weather information for a specified location.

Parameters:

• location (string): The city or location name (e.g., "London", "New York", "Tokyo")

Returns:

• A string containing the weather information including temperature and conditions

Example Response:

London: ⛅️ +12°C

Project Structure

weather-mcp/
├── main.py              # MCP server entry point
├── tools/
│   ├── __init__.py
│   └── weather.py       # Weather fetching logic
├── pyproject.toml       # Project configuration
├── README.md            # This file
└── uv.lock             # Dependency lock file

Technical Details

• MCP Framework: FastMCP
• Weather API: wttr.in - a console-oriented weather service
• Transport: stdio (standard input/output)
• Python Version: 3.12+

How It Works

1. The server exposes a fetch_weather tool via the Model Context Protocol
2. When called, it makes an HTTP request to wttr.in's API
3. The weather data is formatted and returned to the MCP client
4. The AI assistant can then present this information naturally to the user

Troubleshooting

Server not appearing in Claude Desktop

1. Verify the path in your config file is absolute and correct
2. Restart Claude Desktop completely
3. Check the Claude Desktop logs for any error messages

Weather data not loading

• Ensure you have an active internet connection
• The wttr.in service must be accessible from your network
• Some corporate networks may block access to external weather services

Acknowledgments

• Built with FastMCP
• Weather data provided by wttr.in

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