Arcade.dev
by Arcade
Ship agents, not auth infrastructure — the secure action layer for production AI agents.
Arcade.dev is an MCP runtime and secure action layer that gives production AI agents user-scoped authorization, reliable tool-calling, and full governance across enterprise systems. It's built for teams moving agents from pilots to thousands of production workflows without over-privileged service accounts.
Arcade.dev is a Model Context Protocol (MCP) runtime platform — 'the secure action layer for enterprise AI agents' — that handles authorization, execution, and governance so AI agents can safely take actions in production. It solves three barriers to deploying agents: authorization, by letting agents act with the exact access a user has for only the action they're taking, with credentials that never leave the runtime and no standing or over-privileged permissions; reliability, via 8,000+ agent-optimized tools purpose-built so user intent maps to the correct API call the first time rather than thin API wrappers that hallucinate; and governance, through a central control plane that logs every action — which agent, on behalf of which user, against which resource. Arcade is framework- and model-agnostic (works with Claude, Codex, LangChain, LlamaIndex, CrewAI, and custom agents), integrates with enterprise identity providers such as Okta, Entra, and SailPoint, offers Python and JavaScript SDKs, and supports cloud, on-premises, air-gapped, and hybrid deployment with SOC 2, SSO, RBAC, and full audit logs. Led by CEO Alex Salazar, Arcade authored the MCP authorization specification adopted by Anthropic, runs in production at major banks, industrial, and pharmaceutical firms, and raised a $60M Series A in June 2026 led by SYN Ventures with Morgan Stanley and Wipro, bringing total funding to $72M.
At a Glance
- Category
- AI Agents & Orchestration
- Pricing
- Freemium, Usage-based
- Target Market
- CTOs, Enterprise Developers, Platform Engineers, CISOs
Key Features
- ✓Agent authorization
Agents act as authenticated users with dynamic, IdP-based permissions scoped to a single action; credentials never leave the runtime.
- ✓Agent-optimized tools
8,000+ MCP tools purpose-built so user intent maps to the right API call the first time, reducing hallucinations and retries.
- ✓Central control plane
Unified auditing, policy enforcement, and action logging of which agent acted on behalf of which user against which resource.
- ✓Framework and model agnostic
Works with any LLM and agent framework — Claude, Codex, LangChain, LlamaIndex, CrewAI — and any MCP client.
- ✓Enterprise identity integration
Connects to Okta, Entra, and SailPoint with SOC 2, SSO, RBAC, and full audit logs across cloud, on-prem, air-gapped, and hybrid deployments.
Capabilities
Use Cases
- •Move agents from pilot to production
Enterprises deploy agents that act securely across thousands of workflows without over-privileged service accounts.
- •Secure tool-calling
Agents reliably invoke Salesforce, Google Workspace, Slack, and Microsoft actions with the calling user's own permissions.
- •Agent governance and audit
Security teams get a complete trail of every action an agent takes, on whose behalf, against which system.
Ideal For
Best For
- ✓User-scoped authorization for AI agents in production
- ✓Reliable, agent-optimized tool-calling across enterprise apps
- ✓Governance and audit trails for every agent action
Integrations
Deployment
Market Analysis
Pros
- ✓Addresses the top blocker to production agents — secure action and authorization
- ✓Authored the MCP authorization spec adopted by Anthropic
- ✓Broad framework/IdP support and flexible deployment (cloud to air-gapped)
Cons
- ✗Reliability depends on coverage and quality of its prebuilt tool catalog
- ✗Competitive space with identity incumbents and other agent-infra startups
Pricing
Free
$0
- ✓Get started with the MCP runtime
- ✓Access to agent-optimized tools
Enterprise
Contact for pricing
- ✓Usage-based at enterprise scale
- ✓On-prem/air-gapped/hybrid deployment
- ✓SOC 2, SSO, RBAC, full audit logs
Free tier available; usage-based pricing designed for enterprise scale.
Sources
This page was written from 2 sources.
- 1.arcade.dev — arcade.devvendor
- 2.arcade.dev — arcade series avendor
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