OceanBase MCP. Audit, monitor, and map your entire distributed database infrastructure.

The OceanBase MCP Server hooks your AI agent right into an enterprise distributed relational database, letting you handle complex data environments without ever touching the OceanBase Cloud console or writing long SQL scripts. You manage clusters, tenants, instances, and projects using natural language conversation. Instead of clicking through menus or running basic checks, your agent runs specific commands like list_clusters or pulls resource metrics via get_resource_stats.

It gives you a single interface to audit databases and check capacity across global deployments.

When you need to understand the overall health of your system, you start big. You'll use get_resource_stats to pull aggregate usage statistics covering CPU, memory, and storage utilization for your entire organization. For higher-level visibility, you can run list_projects to get a list of every organizational project managed in OceanBase.

If you need details on any specific cluster, the agent executes get_cluster_details, which retrieves deep configuration and operational status data for one named cluster. You can first see everything by calling list_clusters; this returns a complete roster of every active database cluster deployed in your account.

To drill down into resource allocation, you'll use the tenant tools. The agent runs list_tenants to pull metadata listing all logical tenants associated with the current scope. If you need specifics on one group, it uses get_tenant_details to retrieve that specific resource allocation and configuration data tied to a single identified tenant.

This structure lets your AI client check capacity for groups of users or business units instantly.

For cataloging and auditing specific database components, you'll interact with the instance and database tools. You can see every logical database within a specified group by running list_databases against a single tenant. To get an inventory of all deployed services, the agent runs list_instances, which lists every OB instance across your configured projects.

If you need deep metrics on one particular service, it executes get_instance_details, pulling detailed setup information and usage data for that individual database instance. You can also find a list of all organizational workspaces in your account using get_workspaces.

The entire process means you don't have to jump between different interfaces or remember complex syntax; your agent handles the translation. It takes a request—like 'What is the memory usage across the staging environment?'—and translates it into the necessary tool calls (list_tenants, get_resource_stats) and presents you with structured, actionable data every time.

You're auditing system performance, checking for capacity limits, or just cataloging what exists in your multi-tiered database setup without leaving your conversation window.