Arcade MCP Runtime

Arcade is a Model Context Protocol (MCP) runtime designed for deploying AI agents in production environments. It provides infrastructure for managing authorization, reliability, and governance of AI agents operating across business systems. Core capabilities: - Secure Agent Authorization: Agents operate with user-specific permissions rather than shared service accounts, integrating with existing OAuth and Identity Provider (IDP) flows to enforce access controls. - Agent-Optimized Tools: Provides a catalog of MCP tools built for agent use, going beyond simple API wrappers with the goal of reliability and cost efficiency at scale. - MCP Framework: An open-source framework for building custom MCP tools, with OAuth and evaluation capabilities built in, designed to integrate with the runtime. - Agent Lifecycle Governance: Provides visibility and control over tools and agents deployed within an organization, supporting compliance and operational oversight. - Deployment Flexibility: Supports cloud, VPC, on-premises, and air-gapped deployment models, giving organizations control over data residency and security posture. Target use cases include organizations deploying multi-user AI agents that need to take actions across multiple systems while maintaining per-user authorization controls and audit capability. The platform is positioned for teams scaling from initial pilots to enterprise-wide AI agent deployments.