What is OceanBase

The OceanBase MCP Server is a Model Context Protocol server designed for secure interactions with OceanBase databases. It allows AI assistants to list tables, read data, and execute SQL queries through a controlled and structured interface, ensuring safer database exploration and analysis.

Use cases

This server is suitable for use cases involving AI-driven database management, data analysis, and secure SQL query execution. It is particularly beneficial for organizations looking to streamline database access while maintaining strong security protocols.

How to use

To use the OceanBase MCP Server, install the server via pip, configure the necessary environment variables for database access, and either integrate it with Claude Desktop or run it as a standalone server. Configuration involves specifying database credentials and parameters for secure access.

Key features

Key features of the OceanBase MCP Server include the ability to list available tables, read table contents, execute SQL queries with error handling, secure access through environment variables, and comprehensive logging to monitor database interactions.

Where to use

The OceanBase MCP Server can be used in various environments requiring controlled database access, such as in AI applications, data analytics tools, or integration with other software systems that demand secure and structured database interactions.

OceanBase MCP Server

A Model Context Protocol (MCP) server that enables secure interaction with OceanBase databases.
This server allows AI assistants to list tables, read data, and execute SQL queries through a controlled interface, making database exploration and analysis safer and more structured.

Features

• List available OceanBase tables as resources
• Read table contents
• Execute SQL queries with proper error handling
• Secure database access through environment variables
• Comprehensive logging

Installation

pip install oceanbase-mcp-server

Configuration

Set the following environment variables:

OB_HOST=localhost     # Database host
OB_PORT=2881         # Optional: Database port (defaults to 2881 if not specified)
OB_USER=your_username
OB_PASSWORD=your_password
OB_DATABASE=your_database

Usage

With Claude Desktop

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "oceanbase": {
      "command": "uv",
      "args": [
        "--directory",
        "path/to/oceanbase_mcp_server",
        "run",
        "oceanbase_mcp_server"
      ],
      "env": {
        "OB_HOST": "localhost",
        "OB_PORT": "2881",
        "OB_USER": "your_username",
        "OB_PASSWORD": "your_password",
        "OB_DATABASE": "your_database"
      }
    }
  }
}

As a standalone server

# Install dependencies
pip install -r requirements.txt

# Run the server
python -m oceanbase_mcp_server

Development

# Clone the repository
git clone https://github.com/yourusername/oceanbase_mcp_server.git
cd oceanbase_mcp_server

# Create virtual environment
python -m venv venv
source venv/bin/activate  # or `venv\Scripts\activate` on Windows

# Install development dependencies
pip install -r requirements-dev.txt

# Run tests
pytest

Security Considerations

• Never commit environment variables or credentials
• Use a database user with minimal required permissions
• Consider implementing query whitelisting for production use
• Monitor and log all database operations

Security Best Practices

This MCP server requires database access to function. For security:

1. Create a dedicated OceanBase user with minimal permissions
2. Never use root credentials or administrative accounts
3. Restrict database access to only necessary operations
4. Enable logging for audit purposes
5. Regular security reviews of database access

See OceanBase Security Configuration Guide for detailed instructions on:

• Creating a restricted OceanBase user
• Setting appropriate permissions
• Monitoring database access
• Security best practices

⚠️ IMPORTANT: Always follow the principle of least privilege when configuring database access.

License

Apache License - see LICENSE file for details.

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request