Automation Integration Implementation Guide
HTTP API Integration Mode:
- Start the service with the
--type streamable-httpParameter Exposure REST Interface - Example call:
GET /api/query?q=检查数据库连接数Returns data in JSON format - Support docking with Prometheus and other monitoring systems, through the timed capture of indicators to achieve the alerts
AI Agent Integration Solution:
- Build an automated task flow: "Check tables for VACUUM" triggered at 2:00 every day.
- Setting the threshold alarm: when the number of active connections (
get_active_connections) Notification when 80% of max_connections is exceeded - Generate optimization recommendations: automatically analyze slow query logs and email weekly reports
Containerized Deployment:The service can be packaged as a Docker image to dynamically configure the monitoring of multiple database instances via environment variables. Note the setting of separate .env configuration files for different environments (dev/test/prod).
This answer comes from the articleMCP-PostgreSQL-Ops: Tools for PostgreSQL Database Operations and MonitoringThe
May not be reproduced without permission:AI productivity tools " How to Integrate PostgreSQL Monitoring Capabilities in an Automated Ops System?
