- Gemini API with MCP Tool Integration
Gemini API with MCP Tool Integration
AI agent that retrieves weather data from the MCP server to provide automated forecasts. Ideal for integration into weather-related applications.
Overview
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?
- Providing real-time weather forecasts for applications.
- Automating responses to user inquiries about weather conditions.
- 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.
Project Info
Created At
a year agoUpdated At
a year agoAuthor Name
hitechdkStar
0Language
PythonLicense
MIT licenseCategory
research-and-data
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