# Arcade > Arcade is the enterprise-ready actions runtime for AI agents. We enforce your security policies on every action, execute reliably across any system, and govern agents centrally in production. Arcade is the single enforcement point every agent action passes through. Configure once and use any model, framework, or client — and deploy the first agent the same way you deploy the hundredth. ## Key Capabilities - **Enforce — Agent Authorization**: One enforcement point for every agent action. Per-action authorization at the intersection of what the agent AND the user are allowed to do, evaluated at runtime against your IdP — plus the security policies your enterprise already runs (DLP, SIEM, compliance) applied through runtime hooks. Full token lifecycle managed; credentials never reach the LLM. Security approves the layer once, and every later agent ships against it. - **Execute — Agent-Optimized Tools**: The largest catalog of agent-optimized MCP tools — built for agents to take action, not thin API wrappers. Natural-language intent maps to the exact API call ("make the intro paragraph friendlier" → the right segment ID, index, and text). Tightly coupled to the runtime: parallelized execution, automatic failover, and intelligent retries that hold up as you scale. - **Govern — Agent Lifecycle Governance**: A single control plane for every agent and tool across the org. Shared registry for discovery and reuse, version control for safe upgrades, visibility filtering so agents only see tools their user may invoke, and end-to-end audit logs exported to your SIEM via OpenTelemetry. ## Product - [Product Overview](https://www.arcade.dev/product): How the Arcade runtime works — every agent action flows through one layer that handles secure agent authorization (per-action, scoped to real user permissions), agent-optimized MCP tools and reliable execution, and a central control plane for lifecycle governance. Covers architecture, capabilities, 7,000+ integrations, and deployment models (cloud, self-managed, on-premises, air-gapped) with compliance. ## Docs - [Create an agent](https://docs.arcade.dev/en/get-started/quickstarts/call-tool-agent): Build an AI agent that calls Arcade tools - [Tool calling from your custom agent](https://docs.arcade.dev/en/get-started/agent-frameworks): Integrate Arcade tools into LangChain, OpenAI Agents, CrewAI, Vercel AI, Google ADK, Mastra, and more - [Create MCP servers with managed auth](https://docs.arcade.dev/en/guides/create-tools/tool-basics/build-mcp-server): Build and deploy custom MCP servers with Arcade's managed OAuth and authorization - [Add user authorization to your tools](https://docs.arcade.dev/en/home/build-tools/create-a-tool-with-auth): Add OAuth-backed user authorization to your MCP tools - [Create MCP gateways](https://docs.arcade.dev/en/guides/mcp-gateways): Federate tools from multiple MCP servers into a single URL for your agents and apps - [Use tools from MCP clients](https://docs.arcade.dev/en/get-started/quickstarts/call-tool-client): Connect Arcade tools to Cursor, Claude Desktop, VS Code, and other MCP-compatible clients ## Resources - [Pre-built integrations](https://docs.arcade.dev/en/resources/integrations): GitHub, Slack, Gmail, Google Sheets, Jira, Notion, Salesforce, and more - [API reference](https://docs.arcade.dev/en/references/api) - [Sample applications](https://docs.arcade.dev/en/resources/examples)