Mcp Python Weather Forecast
What is Mcp Python Weather Forecast
mcp-python-weather-forecast is a weather application built using Python that leverages the OpenAI API for enhanced weather forecasting capabilities.
Use cases
Use cases include developing a personal weather assistant, creating educational tools for students learning about APIs and Python, and integrating weather forecasting into larger applications.
How to use
To use mcp-python-weather-forecast, set up a virtual environment, install the required packages, configure the .env file with your OpenAI API key, and run the server and client scripts.
Key features
Key features include integration with OpenAI’s GPT-4o-mini for advanced forecasting, a user-friendly setup process, and the ability to run both server and client applications locally.
Where to use
mcp-python-weather-forecast can be used in various fields such as personal weather forecasting, educational projects for learning Python, and as a backend service for weather-related applications.
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 Mcp Python Weather Forecast
mcp-python-weather-forecast is a weather application built using Python that leverages the OpenAI API for enhanced weather forecasting capabilities.
Use cases
Use cases include developing a personal weather assistant, creating educational tools for students learning about APIs and Python, and integrating weather forecasting into larger applications.
How to use
To use mcp-python-weather-forecast, set up a virtual environment, install the required packages, configure the .env file with your OpenAI API key, and run the server and client scripts.
Key features
Key features include integration with OpenAI’s GPT-4o-mini for advanced forecasting, a user-friendly setup process, and the ability to run both server and client applications locally.
Where to use
mcp-python-weather-forecast can be used in various fields such as personal weather forecasting, educational projects for learning Python, and as a backend service for weather-related applications.
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 App with MCP
Prerequisites
Before diving in, make sure you have the following:
- Python 3.10 or later: Make sure it’s installed on your computer.
- Basic Python Knowledge: You should know how to run Python scripts and install packages.
- OpenAI API Key: We’ll use OpenAI’s GPT-4o-mini. You can get your API key here.
Step 1: Setting Up Your Environment
Let’s set up a clean space for your project and install the necessary tools.
-
Create a Virtual Environment
python -m venv mcp-env -
Activate the Virtual Environment
- On macOS/Linux:
source mcp-env/bin/activate - On Windows:
mcp-env\Scripts\activate
- On macOS/Linux:
-
Install Required Packages:
pip install mcp openai -
Setup the .env file:
Create a .env file in your project directory with the following content:OPENAI_API_KEY=your-openai-api-key MCP_SSE_URL=http://localhost:8080/sse
Step 2: Running the Server
Once you have server.py ready, launch your server with:
python server.py --host localhost --port 8080
Step 3: Running the Client
Once the server is running, launch the client by running:
python client.py
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.
