OceanBase MCP Server is a Model Context Protocol (MCP) server that enables AI assistants to interact with OceanBase databases through a controlled interface. It exposes core capabilities to list available OceanBase tables as discoverable resources, read table contents, and execute SQL queries with proper error handling. This design supports safer and more structured database exploration and analysis by funneling all operations through the MCP layer. Access credentials and connection details are secured via environment variables, including OB_HOST, OB_PORT (optional: defaults to 2881 if not specified), OB_USER, OB_PASSWORD, and OB_DATABASE, so credentials are not hard-coded. The server can be run as a standalone process or integrated with Claude Desktop: for Claude Desktop, configure a launch entry that points to the server directory and passes the necessary OB_* variables; for standalone use, install dependencies and run python -m oceanbase_mcp_server. The solution emphasizes comprehensive logging and security considerations, such as least privilege, avoiding root credentials, and potential query whitelisting for production deployments.