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.
Documentation
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-serverConfiguration
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_databaseUsage
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_serverDevelopment
# 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
pytestSecurity 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
Frequently asked questions
What is oceanbase_mcp_server?
oceanbase_mcp_server is 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.
How do I install oceanbase_mcp_server?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is oceanbase_mcp_server open source?
Yes — it is hosted on GitHub at https://github.com/yuanoOo/oceanbase_mcp_server and has 3 stars.
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