OceanBase MCP Server
by yuanoOo
The OceanBase MCP Server enables secure interaction with OceanBase databases. It allows AI assistants to list tables, read data, and execute SQL queries through a controlled interface.
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What is OceanBase MCP Server?
The OceanBase MCP (Model Context Protocol) Server is a secure interface that allows AI assistants to interact with OceanBase databases. It provides controlled access for listing tables, reading data, and executing SQL queries.
How to use OceanBase MCP Server?
To use the server, first install it using pip install oceanbase-mcp-server
. Then, configure the necessary OceanBase database connection details via environment variables (OB_HOST, OB_PORT, OB_USER, OB_PASSWORD, OB_DATABASE). Finally, integrate the server with your AI assistant platform, such as Claude Desktop, by configuring the appropriate command and environment settings.
Key features of OceanBase MCP Server
List available OceanBase tables as resources
Read table contents
Execute SQL queries with proper error handling
Secure database access through environment variables
Comprehensive logging
Use cases of OceanBase MCP Server
Enabling AI assistants to explore and analyze OceanBase databases
Providing a secure interface for AI-driven data extraction
Automating database querying and reporting through AI
Integrating OceanBase data with AI-powered applications
FAQ from OceanBase MCP Server
What is MCP?
What is MCP?
MCP stands for Model Context Protocol, a standard for secure interaction between AI models and external resources like databases.
How do I secure my database connection?
How do I secure my database connection?
Use environment variables to store sensitive credentials and follow the principle of least privilege when configuring database user permissions.
What kind of logging is implemented?
What kind of logging is implemented?
The server provides comprehensive logging of database operations for auditing and security monitoring.
Can I contribute to the project?
Can I contribute to the project?
Yes, you can contribute by forking the repository, creating a feature branch, committing your changes, and opening a pull request.
What license is the project under?
What license is the project under?
The project is licensed under the Apache License.