Model Context Protocol (MCP) is generating a lot of excitement right now. It’s a simple, elegant spec that makes it easy to expose functionality and contextual data to AI models in a structured way. Want to create GitHub issues or email stakeholders just by asking your code editor? It...
Multi-agent AI systems represent one of the most significant advances in practical AI applications today. Unlike traditional single-agent approaches, multi-agent systems distribute complex tasks across specialized agents, each handling what they do best. In this article, we'll explore a practical example that uses specialized agents with access to...
AI agents often need to access multiple services and data sources on behalf of users. This introduces unique authentication and authorization challenges that go beyond typical single sign-on (SSO) for human users. Unlike a standard web app, an AI agent might operate without a user interface and even make autonomous...
As we step into 2025, AI-powered email automation has become a game-changer for productivity. Building your own AI agent for Gmail can transform how you manage communications, prioritize messages, and handle routine email tasks. This guide introduces the key concepts of creating a custom Gmail AI assistant, with special attention...
What is MCP? Model Context Protocol (MCP) is having a moment, and for good reason: it's an open, standard way to connect tools and agents. At Arcade, we're thrilled to see the industry adopting an open standard for tool calling, because it means even more options...
Last week, we hit a major company milestone - and you can read all about it in TechCrunch! Arcade secured $12 million in funding from Laude Ventures. For those who haven't heard the full story, our co-founders Alex Salazar (former Okta exec) and Sam Partee (former Redis engineer)...
