Keycloak MCP Server

The Keycloak MCP Server bridges the gap between AI assistants and enterprise‑grade identity management by exposing Keycloak’s rich API surface through the Model Context Protocol. For developers who rely on Claude or other AI assistants to automate configuration, audit, or troubleshooting tasks, this server eliminates the need for custom adapters or manual API calls. Instead, a single MCP endpoint delivers a unified set of tools that can create users, manage clients, adjust roles, and even query the Keycloak Discourse community—all within a single AI workflow.

At its core, the server implements the MCP standard using Quarkus for rapid startup and low memory usage. It listens on standard I/O, making it lightweight enough to run as a local helper or be deployed in containerized environments. The configuration is intentionally simple: environment variables (, , ) provide the connection details, and the MCP client (such as Claude Desktop or VS Code) only needs to know the executable path. This design keeps security tight—credentials never leave the host machine—and allows developers to plug the server into any MCP‑compliant workflow with minimal friction.

Key features are grouped around three pillars: Identity Operations, Community Insight, and RAG (Retrieval‑Augmented Generation). Identity operations expose CRUD tools for realms, users, clients, roles, and groups—each represented as a distinct MCP tool that the AI can invoke. Community insight lets the assistant query Keycloak’s official Discourse forum, turning community knowledge into actionable suggestions. The built‑in RAG layer enriches prompts with up‑to‑date documentation or forum threads, enabling the AI to reference real‑world context when generating code snippets or configuration recommendations.

Real‑world scenarios that benefit from this server include automated onboarding scripts, policy audits triggered by AI queries (“Show me all users without a certain role”), or continuous compliance checks that pull the latest forum discussions to validate against internal standards. Because the server is Quarkus‑based, it can be compiled as an Uber JAR or native binary for MacOS, Linux, and Windows, making it ideal for both local development and production deployments.

In summary, the Keycloak MCP Server turns a complex identity platform into an AI‑friendly service. By abstracting authentication, resource management, and community knowledge behind a standard protocol, it empowers developers to write higher‑level AI workflows that can configure, query, and troubleshoot Keycloak without leaving the comfort of their preferred assistant or IDE.