Arcade: Enterprise Actions Runtime and MCP Platform for AI Agents

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Arcade's documentation details an actions runtime for AI agents designed to handle OAuth tokens, enforce per-action security policies, and execute across 7,500+ MCP-based tools.

Key points

  1. Centralised management of OAuth tokens, API keys, and credentials for services such as Gmail, Slack, GitHub, and Jira.
  2. Compatible with major agent frameworks (LangChain, CrewAI, AG2, OpenAI Agents, Vercel AI SDK) and MCP clients including Cursor, VS Code, and Claude Desktop/Code.
  3. Includes over 7,500 agent-optimised tools across 81 MCP servers, alongside support for registering custom or third-party MCP servers.
  4. Governance layer features MCP Gateways, Contextual Access hooks, OpenTelemetry audit logging, and IdP integrations (Okta, Microsoft Entra ID, Auth0, Clerk, Stytch).
  5. Offers multiple hosting models: Arcade Cloud, Azure Marketplace, AWS Marketplace, or self-hosted via Helm (with GCP planned).

Why it matters

Secure token management, access control, and credential handling are major friction points when deploying autonomous agents into production environments.

Analysis

Arcade focuses on operationalising agent execution by placing itself between LLM frameworks and target systems via the Model Context Protocol (MCP). By separating tool execution, credential management, and runtime governance into a dedicated platform layer, it provides enterprise teams with policy enforcement and audit trails while letting developers write against standard agent frameworks.

Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

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