genai-toolbox

🥇Gold

The genai-toolbox is an open-source MCP server designed for seamless integration with various databases, including BigQuery, MongoDB, and PostgreSQL. It empowers developers to leverage AI capabilities across multiple database platforms, enhancing data management and analytics.

13,1711,1580Updated Today

Intermediate15 minutes to implementdatabase

Saves ~180 min per use

Quick InstallView Source

claude install googleapis/genai-toolbox

Works with:

ChatGPTGitHub Copilot

Overview

About This Skill

Use Cases

Integrating AI with BigQuery to perform advanced data analytics and generate real-time insights.

Automating routine database queries using AI agents to reduce manual effort and increase efficiency.

Building custom AI solutions for data management that adapt to specific business requirements.

Enhancing data retrieval processes across MongoDB and PostgreSQL with intelligent query optimization.

Best For

GrowthRevOpsDevelopment

Setup & Installation

Quick Install

Terminal

claude install googleapis/genai-toolbox

Alternative Install (Git Clone)

git clone https://github.com/googleapis/genai-toolbox

Requirements

Claude Code or compatible AI agent
Works with: ChatGPT, GitHub Copilot

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Integrate the genai-toolbox with [DATABASE] for [COMPANY] in the [INDUSTRY] industry. Provide a step-by-step guide on how to set up and utilize the toolbox effectively with [DATA].

Example Output

### Integration Guide for genai-toolbox with MongoDB

To integrate the genai-toolbox with MongoDB for Acme Corp in the eCommerce industry, follow these steps:

1. **Set Up the genai-toolbox:** Download and install the genai-toolbox from the official repository. Ensure you have the required dependencies installed.
2. **Connect to MongoDB:** Use the connection string `mongodb://username:password@localhost:27017` to link the toolbox with your MongoDB instance.
3. **Load Your Data:** Import your sales data into MongoDB, ensuring it’s properly formatted for analysis. For example, your data might include fields like `order_id`, `customer_id`, `product_id`, and `sale_date`.
4. **Utilize AI Capabilities:** Start running AI queries to analyze customer purchasing patterns and generate insights. For instance, you can identify top-selling products by running a query that aggregates sales data by `product_id`.

### Example Insights
- **Top-Selling Products:** The top three products sold in the last quarter were:
  - Product A: 1,200 units
  - Product B: 950 units
  - Product C: 800 units

- **Customer Trends:** 65% of purchases were made by repeat customers, indicating a strong loyalty base.