AI-DBA
Universal database copilot for diagnostics, operations, and performance analysis via MCP and CLI.
README
AI-DBA
Universal database copilot — diagnostics, operations, and performance analysis via MCP and CLI.
Features
- MCP Server — expose database diagnostics as tools for AI agents (Hermes, Claude Code, etc.)
- CLI — one-off commands for scripting and automation
- Interactive REPL — explore your databases interactively with standard DBA commands
- Connection URLs — connect via
mysql://orpostgresql://URLs (no config file needed) - Database-agnostic commands —
databases,tables,describe,indexes,processeswork across engines - Multi-engine support — MySQL and PostgreSQL connectors, more engines coming
- MySQL blocking chains — detect and report row-level blocking with full query details
Quick Start
1. Install dependencies
npm install
2. Build
npm run build
3. Connect and explore
Option A — Config file (for multiple engines):
cp config.yaml.example config.yaml
# Edit config.yaml with your database credentials
npm run repl
Option B — Connection URL (no config file needed):
node dist/index.js repl
# Then: connect mysql://root:password@127.0.0.1:3306/mydb
Option C — Connect via URL (drops into REPL):
# MySQL
npm run connect -- 'mysql://root:***@127.0.0.1:3306/mydb'
# PostgreSQL
npm run connect -- 'postgresql://postgres:***@127.0.0.1:5432/mydb'
# Connects and opens interactive REPL
Commands
| Command | Description |
|---|---|
serve |
Start MCP server over stdio (for AI agents) |
list-engines |
List configured database engines |
blocking-chains <engineId> |
Show current blocking chains |
connect <url> |
Connect to a database via URL |
repl |
Interactive REPL for database diagnostics |
Global Options
| Option | Description | Default |
|---|---|---|
-c, --config <path> |
Path to config.yaml | config.yaml |
-V, --version |
Show version | — |
-h, --help |
Show help | — |
connect <url>
Connect to a database via URL and open an interactive REPL. No config file needed. Supports mysql://, postgresql://, and postgres:// URL schemes.
# MySQL
npm run connect -- 'mysql://root:***@127.0.0.1:3306/mydb'
# PostgreSQL
npm run connect -- 'postgresql://postgres:***@127.0.0.1:5432/mydb'
# With --type override
npm run connect -- 'postgresql://user:***@host:5432/db' --type postgres
This connects, verifies the connection, then drops you into the REPL where you can run databases, tables, describe, indexes, processes, etc.
blocking-chains
ai-dba blocking-chains <engineId> # Table output
ai-dba blocking-chains <engineId> --json # JSON output
Detects row-level blocking chains using MySQL performance_schema.data_lock_waits. Returns:
| Field | Description |
|---|---|
blocking_pid |
Process ID holding the lock |
blocked_pid |
Process ID waiting for the lock |
wait_duration_ms |
How long the blocked session has been waiting |
wait_event |
Type of wait event |
blocking_query |
SQL statement holding the lock |
blocked_query |
SQL statement waiting for the lock |
database_name |
Database context |
wait_type |
Lock type (e.g. "Sleep holding lock") |
status |
Thread status |
host_name |
Client hostname |
program_name |
Client program name |
Error cases:
- Unknown engine ID →
Unknown engine "x". Available: mysql-primary - Unsupported engine type →
Engine "x" is type "postgres". Only MySQL blocking chains are currently supported. performance_schemadisabled → error message telling user to enable it
repl
ai-dba repl # Uses config.yaml
ai-dba repl # No config — start empty, use connect
Interactive commands:
| Command | Alias | Description |
|---|---|---|
help |
Show available commands | |
connect <url> |
Connect to a database via URL | |
databases |
db |
List databases on the server |
tables |
dt |
List tables (with rows, size, engine) |
describe <table> |
desc |
Show column details (type, nullable, key, default) |
indexes <table> |
idx |
List indexes on a table |
processes |
ps |
Show active connections/processes |
engines |
ls |
List configured engines (current marked with *) |
use <engineId> |
Switch to a different engine | |
status |
s |
Show connection details for current engine |
blocking-chains |
bc |
Show blocking chains on current engine |
sql <statement> |
Run a raw SQL query (escape hatch) | |
quit |
q, exit |
Exit the REPL |
SQL keywords are auto-detected — just type SHOW DATABASES or SELECT * FROM users directly.
Example session:
AI-DBA REPL — type 'help' for commands
No engines configured. Use: connect <url>
ai-dba[no-engine]> connect mysql://root:password@127.0.0.1:13306/testdb
Connected to 127.0.0.1-testdb
mysql://root:***@127.0.0.1:13306/testdb
ai-dba[127.0.0.1-testdb]> databases
┌────────────────────┐
│ Database │
├────────────────────┤
│ information_schema │
│ testdb │
└────────────────────┘
2 database(s)
ai-dba[127.0.0.1-testdb]> tables
┌────────────────┬──────┬─────────┬─────────┬─────────────────────┐
│ Table │ Rows │ Size │ Engine │ Collation │
├────────────────┼──────┼─────────┼─────────┼─────────────────────┤
│ blocking_test │ 3 │ 16.0 KB │ InnoDB │ utf8mb4_0900_ai_ci │
└────────────────┴──────┴─────────┴─────────┴─────────────────────┘
1 table(s)
ai-dba[127.0.0.1-testdb]> describe blocking_test
┌─────────┬──────────────┬──────┬─────┬─────────┬────────────────┐
│ Column │ Type │ Null │ Key │ Default │ Extra │
├─────────┼──────────────┼──────┼─────┼─────────┼────────────────┤
│ id │ int │ NO │ PRI │ NULL │ auto_increment │
│ name │ varchar(100) │ YES │ │ NULL │ │
│ value │ int │ YES │ │ NULL │ │
└─────────┴──────────────┴──────┴─────┴─────────┴────────────────┘
ai-dba[127.0.0.1-testdb]> processes
┌──────┬──────┬──────────────────────┬─────────┬─────────┬──────┬─────────────┐
│ PID │ User │ Host │ DB │ Command │ Time │ State │
├──────┼──────┼──────────────────────┼─────────┼─────────┼──────┼─────────────┤
│ 5 │ root │ 172.23.0.1:54312 │ testdb │ Query │ 0s │ starting │
└──────┴──────┴──────────────────────┴─────────┴─────────┴──────┴─────────────┘
1 process(es)
serve
Starts an MCP server over stdio. Used by AI agents to call database diagnostics tools.
MCP configuration (e.g., ~/.hermes/config.yaml):
{
"mcpServers": {
"ai-dba-diagnostics": {
"command": "node",
"args": ["/path/to/ai-dba/dist/index.js", "serve", "--config", "/path/to/ai-dba/config.yaml"]
}
}
}
The server exposes one tool:
blocking-chains— parameters:engineId(string, required)
Docker Test Environment
A Docker Compose file is included for local testing with MySQL 8.0 and PostgreSQL 16.
Start databases
docker compose up -d
Wait until healthy:
docker inspect --format='{{.State.Health.Status}}' ai-dba-mysql-test
docker inspect --format='{{.State.Health.Status}}' ai-dba-postgres-test
# Repeat until both show "healthy"
Seed MySQL test data
docker exec ai-dba-mysql-test mysql -uroot -ptestpassword testdb \
-e "CREATE TABLE IF NOT EXISTS blocking_test (id INT PRIMARY KEY AUTO_INCREMENT, name VARCHAR(100), value INT); INSERT IGNORE INTO blocking_test (name, value) VALUES ('alpha', 1), ('beta', 2), ('gamma', 3);"
Create a test config
cp config.yaml.example config.yaml
The example config points to both Docker MySQL on port 13306 and PostgreSQL on port 15432.
Test blocking detection
An automated test script creates a real blocking scenario and verifies detection:
node test/test-blocking.mjs
Stop databases
docker compose down
Add -v to also delete the data volume.
Configuration
config.yaml format:
Connection URL (recommended)
engines:
mysql-prod:
type: mysql
url: mysql://readonly:***@prod-db.internal:3306/app_db?ssl=true
postgres-prod:
type: postgres
url: postgresql://readonly:***@prod-db.internal:5432/app_db?sslmode=require
The url field takes priority over individual fields. MySQL supports additional URL params:
ssl=true— enable SSL with certificate verificationssl={"rejectUnauthorized":false}— custom SSL options (JSON)connectionLimit=10— pool size (default: 5)
PostgreSQL URLs are passed directly to pg.Pool({ connectionString }), so any pg-supported parameter works (sslmode, connect_timeout, etc.).
Individual fields (legacy)
engines:
<engine-id>:
type: mysql # or postgres, sqlserver, oracle, mongodb
host: 127.0.0.1 # Hostname or IP (MySQL only)
port: 3306 # Port (MySQL only)
user: root # Database user (MySQL only)
password: secret # Password (MySQL only)
database: mydb # Default database (MySQL only)
Note: Individual fields are only supported for MySQL. PostgreSQL requires a connection URL (url field).
Multiple engines are supported:
engines:
mysql-prod:
type: mysql
url: mysql://readonly:***@prod-db.internal:3306/app_db?ssl=true
mysql-staging:
type: mysql
host: staging-db.internal
port: 3306
user: readonly
password: ${MYSQL_STAGING_PASSWORD}
database: app_db
postgres-analytics:
type: postgres
url: postgresql:***@analytics-db.internal:5432/warehouse?sslmode=require
Security: Add config.yaml to .gitignore (already included by default).
Architecture
src/
index.ts CLI entry point (commander, REPL)
server.ts MCP server setup
config.ts YAML config loader with URL parsing
connector.ts DatabaseConnector interface (engine-agnostic)
types.ts Shared TypeScript types
connectors/
mysql.ts MySQLConnector (implements DatabaseConnector)
postgres.ts PostgreSQLConnector (implements DatabaseConnector)
tools/
blocking-chains.ts MCP tool definition + handler
- DatabaseConnector interface — standard commands (
databases,tables,describe,indexes,processes,query) that work across engines. MySQL and PostgreSQL are implemented; SQL Server, Oracle, and MongoDB are planned. - Lazy imports — MCP SDK, mysql2, and pg are loaded dynamically only when needed. CLI commands like
list-enginesstart instantly without loading database drivers. - Lazy connection pools — Database connections are created on first use, not at startup.
- One tool per file —
src/tools/blocking-chains.tsis self-contained (schema + handler). Adding a new tool means adding a new file and registering it inserver.ts.
Requirements
- Node.js 18+
- MySQL 8.0+ (with
performance_schemaenabled, which is the default) - PostgreSQL 12+ (for PostgreSQL connector)
License
MIT
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。