Connect Integrations to
Google Gemini
Build advanced AI agents with Google Gemini. Connect 600+ integrations, automate workflows, and deploy with ease using Metorial.
How to Get Your Google Gemini API Key
To use Google Gemini with Metorial, you'll need a Google AI API key.
Step 1: Visit Google AI Studio
Navigate to Google AI Studio and sign in with your Google account.
Step 2: Create an API Key
- Click on "Get API key" in the navigation menu
- Select "Create API key in new project" or choose an existing Google Cloud project
- Your API key will be generated instantly
Step 3: Copy Your API Key
Copy the API key and store it securely. You'll need it to initialize the Google GenAI client:
import { GoogleGenAI } from '@google/genai';
let genAI = new GoogleGenAI({
apiKey: 'your-google-api-key-here'
});
Security Best Practices
- Never commit API keys to version control
- Use environment variables to store your API key
- Restrict your API key's permissions in Google Cloud Console if needed
let genAI = new GoogleGenAI({
apiKey: process.env.GOOGLE_API_KEY
});
Troubleshooting
If your API key isn't working:
- Verify you copied the entire key without extra spaces
- Check that the API key hasn't been restricted to specific IPs or services
- Ensure you have billing enabled on your Google Cloud project (required for production use)
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.
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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.