Open-source identity and access layer for AI agents.

Agents are being connected to production systems, but without a consistent identity and access layer around them; limited access control, no auditing, no access restrictions. Metorial solves that.

Metorial is a control plane for agent access to external systems. It sits between agents and integrations, handling auth, permissions, and observability in a consistent way. Instead of wiring integrations ad hoc, teams get a shared layer that standardizes how agents interact with systems.

Core capabilities:

• 1200+ integrations
• support for custom integrations and MCP servers
• auth and token lifecycle management
• RBAC, SAML SSO, and IAM built-in
• scoped permissions per agent, workflow, or team
• audit logs and traceability for agent actions
• shared access patterns across teams and projects

Metorial gives developers a single interface for connecting agents to real systems.

• use integrations across tools like Claude Code, Codex, and Cursor without breaking security policies
• expose integrations as tools to any agent framework
• unify OAuth, API keys, and other auth flows into one magic URL
• reuse connections across projects, environments, and people
• avoid re-implementing messy integration and auth logic

You write against one API, or use one connection URL and Metorial handles the rest.

Metorial provides structure and visibility into how agents access systems.

• centralized access control (RBAC, SAML SSO, IAM, the entire alphabet)
• clear permission boundaries per agent
• audit logs for all actions, including which agent performed them using whose credentials
• controlled sharing of integrations
• consistent and secure credential handling

This makes agent activity enforceable and inspectable without relying on manual processes. Makes your Head of AI happy, lets your CISO sleep at night.

• Metorial: Integration catalog covering SaaS tools and enterprise systems
• Metorial Platform: Core engine, open source and self-hostable
• Metorial CLI: Agent-first CLI for interacting with integrations
• Lowerdeck: Shared libraries across the stack
• Starbase: MCP debugging and testing utility

The SDKs expose the Metorial API and integrate with agent frameworks.

They handle auth, access control, and tool exposure in a consistent way.

• JavaScript / TypeScript
• Python

Example: create an OAuth flow for Slack and expose it as tools to an agent (here using Vercel AI SDK):

let setupSession = await metorial.providerDeployments.setupSessions.create({
  providerId: "slack",
  providerAuthMethodId: "oauth",
});

console.log(setupSession.url);

let session = await metorial.connect({
  adapter: metorialAiSdk(),
  providers: [
    {
      providerDeploymentId: "slack-deployment-id",
      providerAuthConfigId: "auth-config-id",
    },
  ],
});

console.log(session.tools())