Build advanced AI agents with OpenAI. Connect 600+ integrations, automate workflows, and deploy with ease using Metorial.
To use OpenAI's models with Metorial, you'll need an OpenAI API key.
Create an OpenAI account at platform.openai.com
Navigate to API keys section:
Create a new secret key:
Add billing information if you haven't already:
Store it securely in your environment:
# .env file
OPENAI_API_KEY=sk-...
Use it in your application:
import OpenAI from 'openai';
const openai = new OpenAI({
apiKey: process.env.OPENAI_API_KEY
});
Supercharge your OpenAI GPT applications with Metorial's extensive integration library featuring over 600 tools and services. Our MCP-powered platform makes it simple to connect GPT-4, GPT-4o, and other OpenAI models to the APIs your applications need. With Metorial's Python and TypeScript SDKs, adding integrations to your OpenAI-based agents and applications takes just a couple of lines of code—no more spending weeks building custom connectors. Whether you're creating chatbots, assistants, automation workflows, or AI-powered features with OpenAI's industry-leading language models, Metorial handles all the integration complexity. Connect to productivity tools like Google Workspace and Microsoft 365, CRMs like Salesforce and HubSpot, development tools like GitHub and Jira, and hundreds of other popular services instantly. Our open-source approach gives you full transparency and control while eliminating the burden of maintaining integration code, handling authentication, and managing API changes. Focus your team on building unique AI experiences and delivering value to users—let Metorial manage the integration infrastructure that powers your OpenAI applications.
Let's take your AI-powered applications to the next level, together.
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.