Secure Tool-Calling and Authorization Platform for AI Agents

Arcade provides a secure runtime layer that allows AI agents to interact safely with the real world. While most agent frameworks focus on reasoning or orchestration, Arcade fills a critical operational gap: managing tools, permissions, identity, and authentication so

AI agents can actually take action across user environments without exposing credentials or breaking security boundaries.

At its core, Arcade is the MCP (Model Context Protocol) runtime, enabling agents to act on behalf of users across any system with precise, granular control. The platform centralizes authorization, tool governance, and policy enforcement, ensuring that connected agents operate with the minimum necessary permissions and clear auditability. This solves one of the most difficult challenges in applied AI security, allowing autonomous agents to perform tasks while preventing unauthorized access, escalation, or misuse.

A key capability is Arcade’s tool management engine, which provides a controlled gateway between AI models and the operational tools they depend on. Whether using OpenAI’s Agents SDK, LangChain, Mastra, or CrewAI, Arcade acts as the intermediary that validates, authorizes, and routes agent actions. This approach gives organizations a reliable enforcement layer regardless of which AI framework or model they adopt.

In March 2025, Arcade announced that it had secured $12 million in funding from Laude Ventures.