# Gemini MCP Integration

This directory contains a boilerplate setup for integrating Google Gemini with the Model Context Protocol (MCP).

## Structure

- **`simple_server.py`**: A simple MCP server using `FastMCP` that exposes two tools (`add_numbers`, `get_current_time`).
- **`gemini_client.py`**: A Python script that acts as an MCP client. It connects to `simple_server.py`, lists the available tools, and provides guidance on integrating them with the `google-genai` SDK.
- **`setup.sh`**: A provision script that sets up the Python virtual environment and installs dependencies.
- **`requirements.txt`**: List of Python dependencies.

## Prerequisites

- Python 3
- Node.js & npm (for MCP Inspector)

## Setup

1. Run the setup script:
   ```bash
   ./setup.sh
   ```
2. Activate the virtual environment:
   ```bash
   source venv/bin/activate
   ```
3. Set your Google API Key in `.env`:
   ```bash
   # Edit .env file
   GOOGLE_API_KEY=your_api_key_here
   ```

## Running the Example

Run the client script to see the connection to the server and the list of tools:

```bash
python gemini_client.py
```

## Using MCP Inspector

You can use the official MCP Inspector to interact with the `simple_server.py` visually.

```bash
npx @modelcontextprotocol/inspector python simple_server.py
```