iflow-mcp-pawankumar94-sql-mcp-server 0.1.0
AI-Powered SQL Assistant for BigQuery using MCP
Requires Python: >=3.8

# SQLGenius - AI-Powered SQL Assistant

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SQLGenius is an intelligent SQL assistant that helps you query your BigQuery database using natural language. Built with MCP (Model Context Protocol), Vertex AI's Gemini Pro, and Streamlit.

## 🌟 Features

- Natural language to SQL conversion using Gemini Pro
- Interactive Streamlit UI with multiple tabs
- Real-time query execution and visualization
- Database schema explorer
- Query history tracking
- Safe query validation
- BigQuery integration
- MCP-based architecture

## 🎥 Demo

Watch SQLGenius in action! Here's a quick demo of how to use the application:

![SQLGenius Demo](demo.gif)

In this demo, you can see:
1. Natural language query conversion to SQL
2. Interactive data visualization
3. Schema exploration
4. Query history tracking

## 🚀 Installation

1. Clone the repository and navigate to the project directory:
```bash
cd sql_mcp_server
```

2. Install dependencies:
```bash
pip install -r requirements.txt
```

3. Copy the `.env.example` file to `.env` and fill in your configuration:
```bash
cp .env.example .env
```

4. Set up your environment variables in `.env`:
```
PROJECT_ID=your-project-id
DATASET_ID=your-dataset-id
GOOGLE_APPLICATION_CREDENTIALS=path/to/your/service-account.json
VERTEX_AI_LOCATION=us-central1
```

## 🎮 Usage

1. Start the application:
```bash
streamlit run streamlit_app.py
```

2. The MCP server will start automatically when the Streamlit app launches

3. Use the tabs to:
   - Ask natural language questions about your data
   - Write SQL queries directly
   - Explore your database schema

## 📊 Interface Tabs

### 💬 Natural Language Query
Ask questions in plain English and get SQL results:
- "Show me the top 5 customers by revenue"
- "What products have the highest sales in January?"
- "How many orders were placed last month?"

### 📊 SQL Query
Write and execute SQL queries directly:
```sql
SELECT * FROM orders 
WHERE order_date > '2023-01-01' 
ORDER BY total_amount DESC
LIMIT 10
```

### 📋 Database Explorer
- Browse available tables
- View table schemas
- See sample data from any table

## 🔒 Security Features

- Only SELECT queries are permitted
- Query validation to prevent dangerous operations
- Secure credential management
- Error handling and input validation

## 🛠️ Architecture

SQLGenius uses the Model Context Protocol (MCP) to expose tools that enable:

1. **Natural Language Processing**: Convert English questions to SQL
2. **Data Exploration**: Fetch schema information and sample data
3. **SQL Execution**: Run validated queries against your database

The architecture consists of:
- **MCP Server**: Handles DB connection and provides tools
- **Streamlit Frontend**: User interface for interacting with the system
- **Vertex AI (Gemini Pro)**: Powers natural language understanding
- **BigQuery**: Executes SQL queries on your data

## 📝 MCP Tools

The following MCP tools are available:

1. `execute_nl_query`: Execute a natural language query
2. `execute_sql_query`: Execute a raw SQL query
3. `list_tables`: List all available tables
4. `get_table_schema`: Get schema for a specific table

## 📚 Advanced Usage

To add custom tools to the MCP server:

1. Edit the `register_tools()` method in `sql_mcp_server.py`
2. Add your custom tool using the `@self.tool()` decorator
3. Restart the server

## 🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.