Command-line interface for PostgresAI monitoring and database management.
npm install -g postgresaiOr install the latest beta release explicitly:
npm install -g postgresai@betaNote: in this repository, cli/package.json uses a placeholder version (0.0.0-dev.0). The real published version is set by the git tag in CI when publishing to npm.
# Add the PostgresAI tap
brew tap postgres-ai/tap https://gitlab.com/postgres-ai/homebrew-tap.git
# Install postgresai
brew install postgresaiThe postgresai package provides two command aliases:
postgresai --help # Canonical, discoverable
pgai --help # Short and convenientYou can also run it without installing via npx:
npx postgresai --helpIf you want npx pgai ... as a shorthand for npx postgresai ..., install the separate pgai wrapper package:
npx pgai --helpThis command creates (or updates) the postgres_ai_mon user, creates the required view(s), and grants the permissions described in the root README.md (it is idempotent). Where supported, it also enables observability extensions described there.
Run without installing (positional connection string):
npx postgresai prepare-db postgresql://admin@host:5432/dbnameIt also accepts libpq "conninfo" syntax:
npx postgresai prepare-db "dbname=dbname host=host user=admin"And psql-like options:
npx postgresai prepare-db -h host -p 5432 -U admin -d dbnamePassword input options (in priority order):
--password <password>PGAI_MON_PASSWORDenvironment variable- if not provided: a strong password is generated automatically
By default, the generated password is printed only in interactive (TTY) mode. In non-interactive mode, you must either provide the password explicitly, or opt-in to printing it:
--print-password(dangerous in CI logs)
Optional permissions (RDS/self-managed extras from the root README.md) are enabled by default. To skip them:
npx postgresai prepare-db postgresql://admin@host:5432/dbname --skip-optional-permissionsTo see what SQL would be executed (passwords redacted by default):
npx postgresai prepare-db postgresql://admin@host:5432/dbname --print-sqlVerify that everything is configured as expected (no changes):
npx postgresai prepare-db postgresql://admin@host:5432/dbname --verifyReset monitoring user password only (no other changes):
npx postgresai prepare-db postgresql://admin@host:5432/dbname --reset-password --password 'new_password'Authenticate via browser to obtain API key:
postgresai authThis will:
- Open your browser for authentication
- Prompt you to select an organization
- Automatically save your API key to
~/.config/postgresai/config.json
Start monitoring with demo database:
postgresai mon local-install --demoStart monitoring with your own database:
postgresai mon local-install --db-url postgresql://user:pass@host:5432/dbComplete automated setup with API key and database:
postgresai mon local-install --api-key your_key --db-url postgresql://user:pass@host:5432/db -yThis will:
- Configure API key for automated report uploads (if provided)
- Add PostgreSQL instance to monitor (if provided)
- Generate secure Grafana password
- Start all monitoring services
- Open Grafana at http://localhost:3000
# Complete setup with various options
postgresai mon local-install # Interactive setup for production
postgresai mon local-install --demo # Demo mode with sample database
postgresai mon local-install --api-key <key> # Setup with API key
postgresai mon local-install --db-url <url> # Setup with database URL
postgresai mon local-install --api-key <key> --db-url <url> # Complete automated setup
postgresai mon local-install -y # Auto-accept all defaults
# Service management
postgresai mon start # Start monitoring services
postgresai mon stop # Stop monitoring services
postgresai mon restart [service] # Restart all or specific monitoring service
postgresai mon status # Show monitoring services status
postgresai mon health [--wait <sec>] # Check monitoring services health--demo- Demo mode with sample database (testing only, cannot use with --api-key)--api-key <key>- Postgres AI API key for automated report uploads--db-url <url>- PostgreSQL connection URL to monitor (format:postgresql://user:pass@host:port/db)-y, --yes- Accept all defaults and skip interactive prompts
postgresai mon targets list # List databases to monitor
postgresai mon targets add <conn-string> <name> # Add database to monitor
postgresai mon targets remove <name> # Remove monitoring target
postgresai mon targets test <name> # Test target connectivitypostgresai mon config # Show monitoring configuration
postgresai mon update-config # Apply configuration changes
postgresai mon update # Update monitoring stack
postgresai mon reset [service] # Reset service data
postgresai mon clean # Cleanup artifacts
postgresai mon check # System readiness check
postgresai mon shell <service> # Open shell to monitoring servicepostgresai mcp start # Start MCP stdio server exposing toolsCursor configuration example (Settings → MCP):
{
"mcpServers": {
"PostgresAI": {
"command": "postgresai",
"args": ["mcp", "start"],
"env": {
"PGAI_API_BASE_URL": "https://postgres.ai/api/general/"
}
}
}
}Tools exposed:
- list_issues: returns the same JSON as
postgresai issues list. - view_issue: view a single issue with its comments (args: { issue_id, debug? })
- post_issue_comment: post a comment (args: { issue_id, content, parent_comment_id?, debug? })
postgresai issues list # List issues (shows: id, title, status, created_at)
postgresai issues view <issueId> # View issue details and comments
postgresai issues post_comment <issueId> <content> # Post a comment to an issue
# Options:
# --parent <uuid> Parent comment ID (for replies)
# --debug Enable debug output
# --json Output raw JSON (overrides default YAML)By default, issues commands print human-friendly YAML when writing to a terminal. For scripting, you can:
- Use
--jsonto force JSON output:
postgresai issues list --json | jq '.[] | {id, title}'- Rely on auto-detection: when stdout is not a TTY (e.g., piped or redirected), output is JSON automatically:
postgresai issues view <issueId> > issue.jsonpostgresai mon generate-grafana-password # Generate new Grafana password
postgresai mon show-grafana-credentials # Show Grafana credentialspostgresai auth # Authenticate via browser (OAuth)
postgresai auth --set-key <key> # Store API key directly
postgresai show-key # Show stored key (masked)
postgresai remove-key # Remove stored keyThe CLI stores configuration in ~/.config/postgresai/config.json including:
- API key
- Base URL
- Organization ID
API key resolution order:
- Command line option (
--api-key) - Environment variable (
PGAI_API_KEY) - User config file (
~/.config/postgresai/config.json) - Legacy project config (
.pgwatch-config)
Base URL resolution order:
- API base URL (
apiBaseUrl):- Command line option (
--api-base-url) - Environment variable (
PGAI_API_BASE_URL) - User config file
baseUrl(~/.config/postgresai/config.json) - Default:
https://postgres.ai/api/general/
- Command line option (
- UI base URL (
uiBaseUrl):- Command line option (
--ui-base-url) - Environment variable (
PGAI_UI_BASE_URL) - Default:
https://console.postgres.ai
- Command line option (
Normalization:
- A single trailing
/is removed to ensure consistent path joining.
PGAI_API_KEY- API key for PostgresAI servicesPGAI_API_BASE_URL- API endpoint for backend RPC (default:https://postgres.ai/api/general/)PGAI_UI_BASE_URL- UI endpoint for browser routes (default:https://console.postgres.ai)
--api-base-url <url>- overridesPGAI_API_BASE_URL--ui-base-url <url>- overridesPGAI_UI_BASE_URL
For production (uses default URLs):
# Production auth - uses console.postgres.ai by default
postgresai auth --debugFor staging/development environments:
# Linux/macOS (bash/zsh)
export PGAI_API_BASE_URL=https://v2.postgres.ai/api/general/
export PGAI_UI_BASE_URL=https://console-dev.postgres.ai
postgresai auth --debug# Windows PowerShell
$env:PGAI_API_BASE_URL = "https://v2.postgres.ai/api/general/"
$env:PGAI_UI_BASE_URL = "https://console-dev.postgres.ai"
postgresai auth --debugVia CLI options (overrides env):
postgresai auth --debug \
--api-base-url https://v2.postgres.ai/api/general/ \
--ui-base-url https://console-dev.postgres.ai- Node.js 18 or higher
- Docker and Docker Compose
- Documentation: https://postgres.ai/docs
- Issues: https://gitlab.com/postgres-ai/postgres_ai/-/issues