Auth & Identity for AI Agents

Compare authentication and identity tools for building AI agents

Compare toolsView as JSON
ToolTypePricingOSSAgent SdkToken DelegationHuman In The LoopFgaMcp SupportAsync AuthorizationVerified
Auth0cloud
Free up to 25k MAU$35/mo EssentialsCustom Enterprise
2026-04-17
Clerkcloud
Free up to 10k MAU$25/mo ProCustom Enterprise
2026-04-17
WorkOScloud
Free up to 1M MAUPay-as-you-go afterCustom Enterprise
2026-04-17
Stytchcloud
Free up to 25 orgsUsage-based ProCustom Enterprise
2026-04-17
Descopecloud
Free up to 7.5k MAU$0.05/MAU ProCustom Enterprise
2026-04-17
Oryhybrid
Free (self-hosted)Ory Network usage-basedCustom Enterprise
2026-04-17
Keycloakself-hosted
Free (self-hosted)Red Hat SSO (commercial support)
2026-04-17
Firebase Authcloud
Free up to 50k MAUBlaze pay-as-you-goPhone auth: 10¢/verification
2026-04-17
Supabase Authhybrid
Free up to 50k MAU$25/mo ProCustom Enterprise
2026-04-17
Amazon Cognitocloud
Free up to 50k MAU$0.0055/MAU afterSAML federation extra
2026-04-17

Supported Not supported Unverified

What do these features mean?
  • Agent Sdk — Dedicated SDK for agentic workflows — agent sessions, token lifecycle, and authorization requests
  • Token Delegation — Issue scoped tokens an agent can use downstream without exposing user credentials
  • Human In The Loop — Pause agent execution and require explicit user approval before proceeding
  • Fga — Fine-Grained Authorization — relationship-based or attribute-based access control, not just role-based
  • Mcp Support — Native OAuth/OIDC authorization layer for Model Context Protocol servers
  • Async Authorization — Non-blocking approval workflows — agent continues and gets notified when approval is granted

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Auth & Identity for AI Agents

Choosing an auth provider for an AI agent is different from choosing one for a traditional web app. Agents need to act on behalf of users across sessions, delegate tokens to downstream services, and often require fine-grained authorization to constrain what they're permitted to do.

The table above covers the features that matter most for agentic workloads: agent SDKs, token delegation, human-in-the-loop approval flows, fine-grained authorization (FGA), MCP support, and async authorization patterns.

What each feature means:

  • Agent SDK — a dedicated SDK or library designed for agentic workflows, not just a standard auth SDK repurposed. Includes tooling for managing agent sessions, token lifecycle, and authorization requests programmatically.
  • Token delegation — the tool supports issuing scoped tokens an agent can use downstream without exposing the user's primary credentials. The agent acts on behalf of the user with limited, auditable access.
  • Human-in-the-loop — the auth layer can pause a request and require explicit user approval before proceeding. Essential for high-stakes agent actions like sending money, deleting data, or accessing sensitive resources.
  • FGA (Fine-Grained Authorization) — the tool supports relationship-based or attribute-based access control, not just role-based. Lets you model permissions like "user X can read document Y" rather than "admins can read all documents."
  • MCP support — native support for the Model Context Protocol as an authorization target. The tool can act as the OAuth/OIDC layer for MCP servers, handling client registration, token issuance, and tool-level access control.
  • Async authorization — the tool supports approval workflows that don't block synchronously. The agent can fire a request, continue other work, and be notified when approval is granted or denied.

A ? in the comparison table means the feature is unverified at the time of the last editorial check, not that it's absent. Check last_verified and follow source_urls to confirm current status.