Gemini API with MCP Tool Integration

What is the Weather AI Agent?

The Weather AI Agent is an AI-driven tool that retrieves weather data from the MCP server to provide automated forecasts, making it ideal for integration into weather-related applications.

How to use the Weather AI Agent?

To use the Weather AI Agent, clone the repository, set up your environment variables in a .env file, and run the application using the command python main.py.

Key features of the Weather AI Agent?

• Integration with Google Gemini API for natural language processing.
• Automated weather data retrieval from the MCP server.
• Customizable prompts and responses based on user queries.

Use cases of the Weather AI Agent?

1. Providing real-time weather forecasts for applications.
2. Automating responses to user inquiries about weather conditions.
3. Enhancing weather-related services with AI-driven insights.

FAQ from the Weather AI Agent?

• What are the prerequisites for using the Weather AI Agent?

You need Python 3.7 or higher, a Google Cloud project with the Gemini API enabled, and an MCP environment set up.

• Is there a license for the Weather AI Agent?

Yes, the project is licensed under the MIT License.

• Can I customize the behavior of the Weather AI Agent?

Yes, you can modify the prompt and adjust the response handling in the code.