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Genai Toolbox MCP

Database integration for querying and managing data - Genai Toolbox integration for enhanced AI capabilities

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Last Updated2 months ago
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🚀 Installation & Setup

Quick Install

# Clone the repository
git clone https://github.com/googleapis/genai-toolbox
cd genai-toolbox

# Follow the installation instructions in README.md

Prerequisites

  • Node.js 18+ or Python 3.8+ (depending on implementation)
  • MCP-compatible client (Claude Desktop, Continue, etc.)
  • Basic understanding of Model Context Protocol

⚙️ Configuration

MCP Settings Configuration

{
  "mcpServers": {
    "genai-toolbox-mcp": {
      "command": "node",
      "args": ["path/to/genai-toolbox-mcp/dist/index.js"],
      "env": {
        "API_KEY": "your-api-key-here",
        "DEBUG": "false"
      }
    }
  }
}

Environment Variables

Set these environment variables based on your needs:

  • • API_KEY - Your API key (if required)
  • • DEBUG_MODE - Enable debug logging
  • • TIMEOUT - Request timeout in seconds

💡 Usage Examples

Basic Usage

// Example: Query data using the MCP server
const result = await mcpClient.callTool('query', {
  query: 'SELECT * FROM users WHERE active = true',
  database: 'production'
});

console.log('Query results:', result.data);

Integration Guide

This MCP server can be integrated into various AI applications and workflows. Check the GitHub repository for detailed integration examples and API documentation.

View Documentation

📊 Quick Stats

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👥 Contributors

googleapis1 contributions

❓ FAQ

How do I connect to my database?
Configure your database connection string in the MCP server settings. Make sure your database is accessible and credentials are correct.
Is my data secure?
Yes, all connections use encryption and the server follows security best practices. Never commit credentials to version control.
Can I use multiple databases?
Most MCP database servers support multiple database connections. Check the specific server documentation for configuration details.

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