Can I perform destructive operations like DELETE or DROP?

Yes, through the executeWriteSQL tool. However, the skill encourages a safety pattern where you must first describe the intent and ideally perform a read-only select to verify the target data.

How do I manage database permissions with this skill?

You can use readSecurityRule to inspect current settings and writeSecurityRule to apply standard or custom access levels like PRIVATE, READONLY, or ADMINWRITE.

Is this skill suitable for building user-facing application features?

No, this skill is specifically for agent-driven database operations. For building application logic, you should use the standard CloudBase Web or Node.js Relational Database skills.

Why should I use MCP tools instead of the standard SDK?

MCP tools are optimized for agentic workflows within Claude Code, allowing direct database management and rule auditing without requiring application-level SDK initialization or auth flow setup.

CloudBase Relational Database MCP

Name: CloudBase Relational Database MCP
Author: Microck

byMicrock

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数据库管理

Manages CloudBase relational databases via specialized MCP tools for SQL execution and security rule configuration.

关于

This skill enables Claude to interact directly with CloudBase Relational Databases using Model Context Protocol (MCP) tools instead of traditional application SDKs. It provides a secure framework for executing read-only queries, performing data modifications, and managing DDL schema changes. By emphasizing safety-first patterns like read-before-write and explicit confirmation for destructive actions, it allows agents to perform complex database administration, data auditing, and security rule management tasks reliably within the Claude Code environment.

主要功能

Write and DDL statement support for schema migrations and data seeding
Read-only SQL execution for safe data inspection and analysis
Automated safety protocols for destructive operations
89 GitHub stars
Table-level security rule management and auditing
MCP-native tool integration for agent-driven database management

使用场景

Auditing and hardening table-level security permissions and access rules
Executing database migrations and schema updates via DDL commands
Inspecting production data and verifying assumptions before performing batch updates

关于

主要功能

Write and DDL statement support for schema migrations and data seeding
Read-only SQL execution for safe data inspection and analysis
Automated safety protocols for destructive operations
89 GitHub stars
Table-level security rule management and auditing
MCP-native tool integration for agent-driven database management

使用场景

Auditing and hardening table-level security permissions and access rules
Executing database migrations and schema updates via DDL commands
Inspecting production data and verifying assumptions before performing batch updates