Keycloak MCP Server

The Keycloak MCP server bridges the gap between AI assistants and a running Keycloak instance, giving Claude and other agents direct, authenticated access to manage users and realms. By exposing a set of well‑defined tools—such as creating or deleting users, listing realms, and enumerating users within a realm—the server removes the need for developers to write custom Keycloak clients or scripts. Instead, an AI can issue high‑level commands that the MCP translates into REST calls against Keycloak’s administration API, enabling rapid prototyping and automated workflow integration.

For developers building AI‑driven operations or chatbots that need to handle identity management, this server offers a turnkey solution. Rather than embedding Keycloak SDKs or handling OAuth flows manually, an assistant can simply invoke the tool with a realm name and user details. The MCP server authenticates as a Keycloak admin (via environment variables) and performs the action, returning a structured success or error response. This pattern keeps security concerns encapsulated within the server while exposing only the necessary parameters to the AI, reducing the surface area for misuse.

Key features include:

• Realm discovery – lets an assistant quickly view all available realms, useful for context‑aware prompts that need to know which realm a user belongs to.
• User lifecycle management – and enable dynamic onboarding or deprovisioning directly from conversation flows.
• User enumeration – provides insight into current membership, facilitating audit or reporting tasks within a dialogue.
• Configuration via environment variables – the server reads , , and to connect securely, making it suitable for both local development and production deployments.

Real‑world scenarios that benefit from this MCP include:

• Self‑service portals where a user asks the AI to create an account in a specific realm, and the assistant immediately provisions it without manual admin intervention.
• Automated compliance checks that list all users in a realm and flag inactive accounts, triggered by an AI monitoring routine.
• Multi‑realm SaaS platforms where the assistant can switch contexts between tenants by listing realms and performing user operations on demand.

Integrating Keycloak MCP into an AI workflow is straightforward: the assistant calls the relevant tool with structured JSON inputs, receives a response, and can continue the conversation or trigger downstream actions. Because the server abstracts away HTTP details, developers can focus on higher‑level business logic while relying on a proven protocol for secure, consistent communication with Keycloak.