Weather Mcp
What is Weather Mcp
weather_mcp is a command-line and API-integrated weather tool built with Python, designed to fetch current weather data for any city and can be extended for use as a Slack bot or middleware in other projects.
Use cases
Use cases for weather_mcp include creating weather-related Slack bots, integrating weather data into applications, and automating weather updates for users.
How to use
To use weather_mcp, you can run it from the command line using ‘python main.py’ or import it as a module in your Python scripts with ‘from weather import get_weather’.
Key features
Key features include real-time weather data retrieval for any city, support for CLI and API integrations, modular design for easy extension, and the ability to integrate with AI agents.
Where to use
weather_mcp can be used in various fields such as software development, automation projects, and chat applications where weather data is relevant.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Weather Mcp
weather_mcp is a command-line and API-integrated weather tool built with Python, designed to fetch current weather data for any city and can be extended for use as a Slack bot or middleware in other projects.
Use cases
Use cases for weather_mcp include creating weather-related Slack bots, integrating weather data into applications, and automating weather updates for users.
How to use
To use weather_mcp, you can run it from the command line using ‘python main.py’ or import it as a module in your Python scripts with ‘from weather import get_weather’.
Key features
Key features include real-time weather data retrieval for any city, support for CLI and API integrations, modular design for easy extension, and the ability to integrate with AI agents.
Where to use
weather_mcp can be used in various fields such as software development, automation projects, and chat applications where weather data is relevant.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
⛅ Weather_MCP Tool
A command-line and API-integrated weather tool built with Python that can be extended to work as a Slack bot or a middleware weather data provider in other projects.
📌 Overview
This project allows users to:
- 🌍 Fetch current weather data for any city
- 🌤️ Support CLI and API integrations
- 🔄 Modular and reusable — ready for Slack integration or future automation agents
📁 Project Structure
| File | Description |
|---|---|
main.py |
Main entry point — runs the app logic |
weather.py |
Core logic to fetch and process weather data |
README.md |
You are here! |
pyproject.toml |
Dependency and project config |
uv.lock |
Lock file for dependency versions |
.python-version |
Python version tracking |
.gitignore |
Git ignore rules |
.venv/ |
Local virtual environment (ignored) |
🌐 Features
- 🌡️ Get real-time weather for any city
- 🧠 Can be integrated with AI agents
- 🧰 CLI-based interaction or callable via import
- ⚙️ Easily extendable to REST APIs or Slack bots
🧪 Usage
1. Run from CLI
python main.py
2. Use as a module
from weather import get_weather
print(get_weather("Bangalore"))
🔧 Setup
git clone https://github.com/your-username/weather_mcp.git
cd weather_mcp
# Install dependencies
pip install -r requirements.txt
Or use
uvif configured:
uv pip install -r requirements.txt
🌍 API Integration (Optional)
If using weather APIs (e.g., OpenWeatherMap):
WEATHER_API_KEY=your_api_key_here
Configure it in .env and make sure weather.py loads it.
📦 Future Plans
- [ ] REST API version
- [ ] Slack bot integration
- [ ] Forecast and historical data
📄 License
MIT License
Built by SukeshOfficial 🌀
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
