WorkOS MCP Server

WorkOS MCP Server – A Seamless Bridge Between AI Agents and Identity‑as‑a‑Service

The WorkOS MCP server solves a common friction point for developers building AI assistants that need to manage user identities, authentication flows, and directory integrations. By exposing the WorkOS API as a set of MCP tools, it allows agents—such as Cursor Agents—to perform sophisticated identity operations without embedding sensitive credentials or writing custom SDK code. This eliminates the need to expose raw API endpoints in agent prompts and keeps authentication logic isolated on a trusted edge network.

At its core, the server runs as a lightweight Cloudflare Worker and implements the Model Control Protocol. Each method in the exported class becomes an MCP tool that agents can invoke with structured arguments and receive typed responses. The server handles authentication against WorkOS using secrets stored in Cloudflare’s environment, ensuring that API keys never leak to the client. Developers can add new tools simply by defining additional methods with JSDoc annotations; the tooling automatically generates tool descriptions, parameter schemas, and return types for the agent’s runtime.

Key capabilities include:

• User provisioning: Create, update, and delete users across WorkOS directories.
• Authentication flows: Initiate SSO or passwordless sign‑ups, retrieve tokens, and validate sessions.
• Directory queries: Search for users or groups, list roles, and manage access control lists.
• Audit logging: Fetch event histories for compliance or debugging purposes.

These functions are valuable because they let AI assistants orchestrate identity workflows in real time—e.g., an assistant could guide a new employee through onboarding, automatically creating their account and provisioning the correct permissions—all while keeping the underlying identity logic secure and maintainable.

Real‑world scenarios include:

• Enterprise onboarding bots that create user accounts, configure SSO, and assign roles without human intervention.
• Customer support agents that can look up a user’s status, reset passwords, or modify group memberships on demand.
• Compliance checkers that pull audit logs to verify access patterns during investigations.

Integrating the WorkOS MCP server into an AI workflow is straightforward: once the server is registered in a tool like Cursor, agents can call tools such as or by passing JSON payloads. The server returns structured results, which the agent can then use to continue its reasoning or present information to the user. Because all logic runs on Cloudflare Workers, latency is low and scaling is automatic, making the solution suitable for both small prototypes and large enterprise deployments.

In summary, the WorkOS MCP server turns a complex identity‑as‑a‑service API into an agent‑friendly interface, enabling developers to build intelligent assistants that can manage users, authenticate sessions, and enforce access controls—all while keeping credentials secure and abstracting away boilerplate code.