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Manage Apache Ranger policies, roles, users, and groups through agentic workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ranger-mcp-server" yet — see the docs or source repo.
Create an Apache Ranger access policy for the Hive database sales_db: allow the analysts group to have select permission on the orders table, deny access for the intern group, and specify the policy name, resource scope, and permissions.
A created or executable access policy configuration including resources, principals, permissions, and deny rules.
Create Apache Ranger data masking policies for the phone_number and email columns in the customer_profile table: the support group can view partially masked values, while the admin group can view clear text, and list the related conditions and permissions.
A column-level masking policy plan describing masking methods, applicable groups, and access conditions.
Check whether the data-steward role exists in Apache Ranger; if not, create it, add users alice and bob to that role, also add them to the governance group, and then summarize the changes made.
A result summary for role and group management, including creation status, membership updates, and final changes.
Manage Rundeck jobs, executions, nodes, and access controls with natural language.
Manage RabbitMQ brokers, authentication, and mutative admin operations through APIs.
Manage router settings and network control through natural language commands.
Connect AI to Ragic databases for forms, CRUD, approvals, and locking.
Turn any web API into a governed, auditable, agent-ready MCP server.
Manage Request Tracker tickets, queues, users, and assets with natural language.