PostgreSQL Pro Plus

Provides PostgreSQL database analysis and optimization capabilities including health monitoring across connections, vacuum status, and replication, query performance analysis with execution plan insights, and automated index recommendations with duplicate detection and bloat analysis.

This PostgreSQL MCP server provides AI assistants with advanced database analysis and optimization capabilities, built by Crystal Corp using Python with comprehensive health monitoring, query performance analysis, and index optimization tools. The implementation offers database health checks across multiple dimensions (connections, vacuum, sequences, replication, buffer cache, constraints), query execution plan analysis with hypothetical index testing via HypoPG extension, top query identification through pg_stat_statements, and automated index recommendations with duplicate detection and bloat analysis. Built with both restricted and unrestricted access modes, connection pooling, and Docker deployment support, it serves database administrators needing AI-powered PostgreSQL optimization, developers building data-intensive applications requiring performance insights, and teams managing production databases that need automated health monitoring and query optimization recommendations.