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OceanBase MCP Server

OceanBase MCP Server

Local
github.com/yuanoOoDatabases3Updated 83w ago

About OceanBase MCP Server

OceanBase MCP Server lets AI assistants inspect and query OceanBase databases through a controlled interface. It exposes table discovery, data reading, and SQL execution, with credentials supplied through environment variables.

Key features

  1. 01List OceanBase tables as resources
  2. 02Read table contents
  3. 03Execute SQL queries
  4. 04Handle query errors
  5. 05Configure access through environment variables
  6. 06Log database operations

Use cases

  1. 01Discover tables in an OceanBase database
  2. 02Read table data through an AI assistant
  3. 03Run SQL queries from an MCP client
  4. 04Audit database operations through logs

MCP support

It exposes OceanBase tables as resources and provides tools for reading data and executing SQL queries to MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

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.

OceanBase Server MCP server

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

Comments

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