mcp-postgresql-ops
🔍Professional MCP server for PostgreSQL operations & monitoring: 30+ extension-independent tools for performance analysis, table bloat detection, autovacuum monitoring, schema introspection, and database management. Supports PostgreSQL 12-17.
Learn how the asyncpg driver enables MCP-PostgreSQL-Ops to perform non-blocking PostgreSQL queries, boosting the FastMCP server's ability to handle concurrent requests efficiently.
Natural Language Query Examples for PostgreSQL Database Insights with MCP-PostgreSQL-OpsGet PostgreSQL insights with natural language queries. Ask questions like "Show top 20 slowest queries" and MCP-PostgreSQL-Ops translates them to SQL diagnostics. Explore your database easily.
How to Analyze Index Usage Statistics in PostgreSQL with MCP‑PostgreSQL‑OpsAnalyze PostgreSQL index usage with MCP-PostgreSQL-Ops get_index_usage_stats. Identify unused and optimize high-usage indexes for better database performance via data-driven insights.
Common Pitfalls to Avoid When Using MCP-PostgreSQL-Ops for Database OperationsAvoid common pitfalls with MCP-PostgreSQL-Ops database operations. Learn to run get_server_info first for accurate data and prevent incomplete monitoring.
How to Configure MCP-PostgreSQL-Ops for Azure Database for PostgreSQLLearn how to configure MCP-PostgreSQL-Ops for Azure Database for PostgreSQL. Enable statistics parameters and grant pg_read_all_stats for correct operation.
How the MCP Server Handles Autovacuum Monitoring and Provides Operational InsightsLearn how the MCP server monitors autovacuum using specialized tools that analyze PostgreSQL statistics for real-time insights into vacuum operations and historical activity.
Implementing Custom MCP Tools in the MCP-PostgreSQL-Ops Framework: A Complete GuideLearn to implement custom MCP tools in MCP-PostgreSQL-Ops. Decorate async functions, use helper functions for database ops, and register your tool for LLM discovery.
How to Monitor Database Connections and Identify Issues Using MCP-PostgreSQL-OpsMonitor PostgreSQL connections and identify issues with MCP-PostgreSQL-Ops. Use RPC tools to query pg_stat_activity and pg_locks for real-time insights into idle transactions, spikes, and lock contention.
How to Optimize Slow Queries Using pg_stat_statements with the MCP PostgreSQL ServerOptimize slow PostgreSQL queries with pg_stat_statements on the MCP server. Learn how to use get_pg_stat_statements_top_queries to identify and resolve performance bottlenecks efficiently.
How to Check PostgreSQL WAL Status Using the mcp-postgresql-ops ToolLearn how to check PostgreSQL WAL status with mcp-postgresql-ops. Get current WAL position, archiving stats, and configuration with SQL queries for a clear report.
How to Detect and Analyze PostgreSQL Lock Contention with the MCP ServerDetect and analyze PostgreSQL lock contention with the MCP server. Discover real-time blocking and lock patterns using the get lock monitoring tool. Optimize your database performance.
How to Analyze Table Bloat with MCP-PostgreSQL-Ops: Tools and Usage GuideAnalyze PostgreSQL table bloat with MCP-PostgreSQL-Ops tools. Learn how to estimate wasted space and optimize VACUUM operations using get_table_bloat_analysis and get_database_bloat_overview.
Have a question about this repo?
These articles cover the highlights, but your codebase questions are specific. Give your agent direct access to the source. Share this with your agent to get started:
curl -s "https://instagit.com/install.md" Maintain an open-source project? Get it listed too →