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Manage Keycloak users, realms, roles, and more from AI assistants.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "keycloak-mcp-server" yet — see the docs or source repo.
Please inspect the users in a specific Keycloak realm and summarize each user's role assignments.
A structured summary of users and their role assignments for permission review.
List all clients in this Keycloak realm and highlight configuration items that need review.
A client inventory plus key configuration review results to help inspect access control.
Query recent sessions and events in Keycloak and organize them into a concise troubleshooting summary.
A summary of recent sessions and events for investigating unusual logins or admin actions.
Developers or DevOps teams can operate Keycloak resources through an AI assistant, including users, realms, clients, roles, and groups, reducing manual admin-console work.
When analyzing login state, sessions, or event records, teams can use this MCP tool to query and organize information more efficiently.
When maintaining organizational structure, role assignments, and access control, teams can centralize Keycloak admin tasks through an AI assistant.
It is an MCP server for Keycloak administration that lets AI assistants manage users, realms, clients, roles, groups, sessions, events, organizations, and more.
The description says it provides 80+ tools covering users, realms, clients, roles, groups, sessions, events, organizations, and related admin tasks. For the exact interface scope, see the source repository.
The provided material does not specify installation steps, runtime requirements, or authentication setup. Please see the source repository for prerequisites.
Manage Keycloak users, roles, and access controls with natural language.
Manage Keycloak users, roles, and clients through automated admin API access.
Secure MCP tool calls by validating OAuth2 tokens with Keycloak.
Manage Okta users, access, apps, and audit logs with natural language.
Manage Kubernetes resources with natural language for deployment and troubleshooting.
Let AI agents use secrets safely for server-side HTTP, shell, and SSH actions.