mcp-oceanbase

What is mcp-oceanbase?

mcp-oceanbase is a Model Context Protocol (MCP) server repository specifically designed for the OceanBase ecosystem. It provides a collection of MCP servers that enable AI assistants to interact directly with OceanBase databases and ecosystem components through standardized MCP protocols.

How to use mcp-oceanbase?

You need an OceanBase database instance. Then configure the desired MCP server from the collection within your AI assistant’s MCP client. Refer to the individual server’s documentation in the repository for detailed installation and configuration steps.

Key features of mcp-oceanbase

• Direct database operations within AI assistants like Claude and ChatGPT
• Secure and reliable database access and operation mechanisms
• Covers the complete OceanBase product and tool chain
• Simple configuration to get started
• Supports SQL queries, data management, cluster management, and monitoring
• Includes servers for cloud, Kubernetes, diagnostics, vector operations, and AI memory

Use cases of mcp-oceanbase

• AI-assisted SQL queries and data management on OceanBase databases
• Cluster management and monitoring via OceanBase Cloud Platform (OCP)
• Cloud database management through OBCloud
• Kubernetes resource and deployment management with OKCTL
• Performance analysis and troubleshooting using OBDIAG

FAQ from mcp-oceanbase

What runtime dependencies does mcp-oceanbase require?

The servers are built with Python 3.8+ and TypeScript 5.0+. You also need an OceanBase database instance to connect to.

How do I set up a specific MCP server?

Refer to the individual server’s documentation in the repository for installation and configuration steps.

Where can I get support?

Visit the OceanBase Community Forum, check existing issues, or create a new issue on GitHub.

Is mcp-oceanbase open source?

Yes, it is released under the Apache License 2.0.