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.
hitechdk
README
Gemini API with MCP Tool Integration
This project demonstrates how to integrate the Google Gemini API with custom tools managed by the MCP (Multi-Cloud Platform) framework. It uses the Gemini API to process natural language queries, and leverages MCP tools to execute specific actions based on the query's intent.
Prerequisites
Before running this project, ensure you have the following:
-
Python 3.7 or higher
-
A Google Cloud project with the Gemini API enabled and an API key.
-
An MCP environment set up with the necessary tools.
-
.env
file with the following environment variables:GEMINI_API_KEY=<your_gemini_api_key> GEMINI_MODEL=<your_gemini_model_name> MCP_RUNNER=<path_to_mcp_runner> MCP_SCRIPT=<path_to_mcp_script>
Installation
-
Clone the repository:
git clone <repository_url> cd <repository_directory>
-
Create a virtual environment (recommended):
python3 -m venv venv source venv/bin/activate # On macOS/Linux
-
Install the required dependencies using
uv
:uv pip install dotenv google-generativeai mcp uv add "mcp[cli]" httpx uv pip install python-dotenv google-generativeai mcp
-
Create a
.env
file in the project root and add your environment variables.
GEMINI_API_KEY=your_api_key_here
GEMINI_MODEL=gemini-pro
MCP_RUNNER=path_to_mcp_runner
MCP_SCRIPT=path_to_mcp_script
Usage
To run the application, execute the following command:
python main.py
How It Works
- The application loads environment variables and validates their presence
- Establishes a connection with the MCP client
- Retrieves available tools from the MCP session
- Sends the prompt to Gemini's API along with tool definitions
- Processes any tool calls made by the model
- Returns the final response that includes results from tool calls
Customization
To customize the prompt or behavior:
- Modify the
prompt
variable with your desired text - Adjust the
get_contents()
function to change how prompts are formatted - Extend
process_response()
to handle different response types
License
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