# sql-agent-cli: A Read-Only SQL Command-Line Tool Designed for AI Agent Workflows

> sql-agent-cli is a read-only SQL command-line tool specifically designed for AI agent workflows. It supports mainstream databases such as MySQL, PostgreSQL, SQLite, etc., and enables AI assistants to reliably access database information through a secure query interface.

- 板块: [Openclaw Llm](https://www.zingnex.cn/en/forum/board/openclaw-llm)
- 发布时间: 2026-03-30T21:45:35.000Z
- 最近活动: 2026-03-30T21:56:44.192Z
- 热度: 159.8
- 关键词: SQL工具, AI智能体, 数据库安全, 只读查询, Claude Code, MySQL, PostgreSQL, SQLite
- 页面链接: https://www.zingnex.cn/en/forum/thread/sql-agent-cli-aisql
- Canonical: https://www.zingnex.cn/forum/thread/sql-agent-cli-aisql
- Markdown 来源: floors_fallback

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## sql-agent-cli: A Read-Only SQL CLI Tool for AI Agent Workflows

sql-agent-cli is a read-only SQL command-line tool designed specifically for AI agent workflows. It supports mainstream databases like MySQL, PostgreSQL, SQLite, and MariaDB. Its core goal is to provide a secure query interface for AI assistants to access database information reliably, addressing the safety risks of AI interacting with databases. Key features include strict read-only restrictions, multiple output formats (JSON, Markdown, etc.), native credential management, and SSL encryption.

## Background: The Security Challenge of AI-Database Interaction

As AI agents are widely used in business scenarios, enabling AI to access databases safely and reliably has become critical. Traditional database clients lack AI-specific security constraints—granting AI full write access risks accidental data modification or security breaches, especially when using AI coding assistants like Claude Code or Codex CLI. sql-agent-cli was created to solve this problem by prioritizing security through read-only limits and fine-grained access control.

## Core Design Philosophy & Key Features

The core design philosophy of sql-agent-cli is "Safety First, Simplicity Above All". It uses a read-only design to eliminate data modification risks. It supports multiple databases (MySQL, MariaDB, PostgreSQL, SQLite) and offers standardized output formats (JSON default, Markdown, table, CSV). Basic usage examples:
- Direct query: `sql-agent-cli \\"SELECT id, name FROM users LIMIT 10\\"`
- Named target: `sql-agent-cli --target reporting \\"SELECT COUNT(*) AS total FROM users\\"`
It also supports input from SQL files or stdin.

## Security Mechanisms: Read-Only & Credential Management

**Read-only protection**: It intercepts data-modifying statements (INSERT, UPDATE, DELETE, CREATE, DROP, ALTER) via SQL parsing, allowing only SELECT, WITH...SELECT, SHOW, DESCRIBE, EXPLAIN.
**Credential management**: Uses native client mechanisms (e.g., .pgpass for PostgreSQL, ~/.my.cnf for MySQL) to avoid password exposure. Supports `--password-stdin` or `--prompt-password` for safe password input.
**SSL connection**: Defaults to SSL encryption, with modes like required/preferred/disabled (production recommends required).

## AI Integration & Practical Use Cases

**AI integration**: JSON output (default) is ideal for AI agents to parse and process. Markdown/table formats suit human reading or reports.
**Use cases**: 
1. AI-assisted development: Let Claude Code query DB structure for accurate code without modification risks.
2. Data exploration: Analysts safely explore data distribution.
3. Automated reporting: Generate DB status reports via scheduled tasks.
4. CI/CD integration: Verify DB migration consistency or test data readiness.

## Configuration Management Commands

Config file uses TOML format (~/.sql-agent-cli/config.toml) for default targets, output formats, and DB connections. Key commands:
- `config show`: Display current config (no sensitive info).
- `config set-default-target`: Set default DB target.
- `config add-target/remove-target`: Manage DB targets.
- `config init-native-auth`: Generate native auth config templates.
- `targets`: List all configured targets.

## Technical Implementation Details

sql-agent-cli uses Python database drivers: PyMySQL (MySQL/MariaDB), psycopg (PostgreSQL), sqlite3 (SQLite). SQL parsing relies on sqlglot library to enforce read-only rules. It uses uv as the Python package manager, supporting direct execution via uvx without manual dependency installation.

## Conclusion & Practical Value

sql-agent-cli addresses AI agent DB access safety concerns through multiple security layers (read-only, native credentials, SSL). It enables developers to let AI explore data without worrying about accidental modifications. It is a valuable tool for any scenario integrating DB queries into AI workflows, such as AI-assisted development, data analysis, and automation.