Google Gemini

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Google Gemini

Build advanced AI agents with Google Gemini. Connect 600+ integrations, automate workflows, and deploy with ease using Metorial.

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Getting Started with Google Gemini and Metorial

This guide will help you set up Google Gemini with Metorial to give your AI agents access to 600+ integrations.

Prerequisites

  • A Metorial API key
  • A Google AI (Gemini) API key
  • Node.js installed on your system

Installation

First, install the required packages:

npm install @metorial/google metorial @google/genai

Basic Setup

Here's a minimal example to get started:

import { metorialGoogle } from '@metorial/google';
import { Metorial } from 'metorial';
import { GoogleGenAI } from '@google/genai';

// Initialize Metorial
let metorial = new Metorial({ 
  apiKey: 'your-metorial-api-key' 
});

// Initialize Google GenAI
let genAI = new GoogleGenAI({ 
  apiKey: 'your-google-api-key' 
});

// Use Metorial with Google Gemini
await metorial.withProviderSession(
  metorialGoogle,
  { serverDeployments: ['your-server-deployment-id'] },
  async session => {
    let response = await genAI.models.generateContent({
      model: 'gemini-1.5-pro-latest',
      contents: [{
        role: 'user',
        parts: [{ text: 'Hello, what can you help me with?' }]
      }],
      config: {
        tools: session.tools
      }
    });
    
    console.log(response.candidates?.[0]?.content?.parts?.[0]?.text);
  }
);

Next Steps

  • Learn how to obtain your API keys
  • Explore handling function calls from Gemini
  • Discover available integrations through Metorial

Google Gemini on Metorial

Build exceptional AI applications with Google Gemini and Metorial's comprehensive integration platform. Connect Gemini's state-of-the-art multimodal AI models to over 600 integrations including Google Workspace, Slack, GitHub, Salesforce, and hundreds more through our MCP-powered SDKs. Metorial eliminates the complexity of building and maintaining integrations, allowing you to add powerful capabilities to your Gemini-based agents in just a couple of lines of Python or TypeScript code. Whether you're creating virtual assistants, data analysis tools, or intelligent workflow automation with Google's advanced AI, Metorial provides the integration infrastructure you need to ship faster. Our open-source platform handles authentication flows, API versioning, rate limiting, and error handling automatically, so you can focus on crafting intelligent behaviors and delightful user experiences. Stop reinventing the wheel for every integration—let Metorial manage the connections while you concentrate on building innovative AI solutions. With Metorial, your Gemini agents can seamlessly interact with the tools and platforms your users depend on daily.

Connect anything. Anywhere.

Ready to build with Metorial?

Let's take your AI-powered applications to the next level, together.

About Metorial

Metorial provides developers with instant access to 600+ MCP servers for building AI agents that can interact with real-world tools and services. Built on MCP, Metorial simplifies agent tool integration by offering pre-configured connections to popular platforms like Google Drive, Slack, GitHub, Notion, and hundreds of other APIs. Our platform supports all major AI agent frameworks—including LangChain, AutoGen, CrewAI, and LangGraph—enabling developers to add tool calling capabilities to their agents in just a few lines of code. By eliminating the need for custom integration code, Metorial helps AI developers move from prototype to production faster while maintaining security and reliability. Whether you're building autonomous research agents, customer service bots, or workflow automation tools, Metorial's MCP server library provides the integrations you need to connect your agents to the real world.

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