Keycloak MCP Server

Keycloak MCP Server Overview

The Keycloak MCP Server turns the robust identity‑and‑access‑management platform into a conversational, AI‑friendly service. By exposing Keycloak’s REST API through the Model Context Protocol, it allows language models to issue natural‑language commands that translate into precise user, client, realm, and role operations. Developers building AI assistants can therefore automate authentication flows, manage users, or adjust authorization policies without writing boilerplate code or handling OAuth intricacies.

What the server solves is the friction between AI workflows and Keycloak’s administrative console. Traditionally, adding or removing a user, creating an OAuth client, or assigning roles requires manual API calls or UI interactions. The MCP server abstracts these details into a set of high‑level tools—, , , and more—that can be invoked directly from prompts. This streamlines onboarding, provisioning, and policy enforcement in dynamic environments where AI agents must react to changing user states or security requirements.

Key features are organized around the core components of Keycloak:

• User Management: Full CRUD on users, password resets, session control, and attribute updates.
• Client Configuration: Create, update, or delete OAuth2/OIDC clients, manage secrets and service accounts programmatically.
• Role‑Based Access Control: Define realm or client roles, assign them to users, and query permissions—all through simple tool calls.
• Realm Administration: Adjust realm settings, default groups, event configurations, and policies without touching the admin console.
• Authentication Flow Management: Build or modify authentication flows, add executors, and configure authenticators.
• Group Management: Organize users into hierarchies and apply group‑based permissions efficiently.

Real‑world scenarios that benefit from this server include:

• Automated Onboarding: An AI assistant can create a new user, assign appropriate roles, and provision an OAuth client in one conversational step.
• Dynamic Access Control: When a user’s status changes, the assistant can adjust roles or revoke sessions instantly.
• Compliance Auditing: AI agents can query role assignments and session logs to generate audit reports on demand.
• Rapid Prototyping: Developers can prototype authentication flows in natural language before committing to code, accelerating feature delivery.

Integration with AI workflows is seamless: the MCP server registers its tools in the client’s tool registry, allowing prompt templates to reference actions like or . The server handles authentication to Keycloak, token refresh, and error translation, so the model can focus on intent rather than protocol details. This tight coupling eliminates boilerplate and reduces latency between user request and system response.

Unique advantages of the Keycloak MCP Server lie in its declarative, high‑level API surface and its native support for role‑based access control within the AI context. By bridging natural language with a mature IAM platform, it empowers developers to build intelligent assistants that can manage security infrastructure as naturally as they manage data.