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OceanBase MCP Server

by yuanoOo

OceanBase MCP 服务器

一个模型上下文协议 (MCP) 服务器,用于实现与 OceanBase 数据库的安全交互。该服务器允许 AI 助手通过受控接口列出表格、读取数据并执行 SQL 查询,从而使数据库的探索和分析更加安全、结构化。

特征

  • 将可用的 OceanBase 表列为资源

  • 读取表内容

  • 执行 SQL 查询并进行适当的错误处理

  • 通过环境变量保护数据库访问

  • 综合日志记录

Related MCP server: Microsoft SQL Server MCP Server

安装

pip install oceanbase-mcp-server

配置

设置以下环境变量:

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

用法

使用 Claude Desktop

将其添加到您的claude_desktop_config.json中:

{
  "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"
      }
    }
  }
}

作为独立服务器

# Install dependencies
pip install -r requirements.txt

# Run the server
python -m oceanbase_mcp_server

发展

# 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

安全注意事项

  • 切勿提交环境变量或凭据

  • 使用具有最低所需权限的数据库用户

  • 考虑实施查询白名单以供生产使用

  • 监控并记录所有数据库操作

安全最佳实践

此 MCP 服务器需要数据库访问权限才能运行。出于安全考虑:

  1. 创建具有最小权限的专用 OceanBase 用户

  2. 切勿使用根凭据或管理帐户

  3. 将数据库访问限制为仅进行必要的操作

  4. 启用日志记录以用于审计目的

  5. 定期对数据库访问进行安全审查

请参阅OceanBase 安全配置指南,详细了解:

  • 创建受限的OceanBase用户

  • 设置适当的权限

  • 监控数据库访问

  • 安全最佳实践

⚠️重要提示:配置数据库访问时始终遵循最小特权原则。

执照

Apache 许可证 - 有关详细信息,请参阅 LICENSE 文件。

贡献

  1. 分叉存储库

  2. 创建你的功能分支( git checkout -b feature/amazing-feature

  3. 提交您的更改( git commit -m 'Add some amazing feature'

  4. 推送到分支( git push origin feature/amazing-feature

  5. 打开拉取请求

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