Arcade

Arcade is an MCP runtime for production AI agents. It sits between agents and the external tools, apps, and business systems they need to access, handling authentication, authorization, tool execution, governance, and audit logs in one runtime layer. The platform is useful for developers and founders building agents that need to take real actions, not just generate text. Agents may need to access Google, Slack, Salesforce, databases, internal tools, or other systems on behalf of real users. Arcade helps ensure those actions respect user permissions, policy rules, and compliance requirements. Arcade's site positions the product around three major agent deployment problems: auth, reliability, and governance. It supports MCP patterns, agent-optimized tools, policy enforcement, auditability, and integration with existing identity providers and frameworks. For FutureStack, Arcade belongs in AI Agents because it solves a hard production problem for agent builders: safely connecting agents to tools and business systems. It is best for technical founders and developers shipping agents that need secure tool access, user-scoped actions, and enterprise-ready governance.