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PostgreSQL Analyzer MCP

by rameshv29

PostgreSQL Analyzer MCP is a tool that leverages AI to help database administrators and developers optimize their PostgreSQL databases. It provides comprehensive analysis of database structure, query performance, and configuration settings, along with actionable recommendations for improvement.

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What is PostgreSQL Analyzer MCP?

PostgreSQL Analyzer MCP is a Model Context Protocol (MCP) server designed for PostgreSQL database performance analysis and optimization. It uses AI to provide comprehensive analysis and actionable recommendations.

How to use PostgreSQL Analyzer MCP?

The server can be set up locally or using Docker. After setup, configure your MCP client with the server URL and SSE transport. Then, use available tools like analyze_database_structure, get_slow_queries, etc., through the MCP client.

Key features of PostgreSQL Analyzer MCP

  • Database Structure Analysis

  • Query Performance Analysis

  • Index Recommendations

  • Query Optimization

  • Slow Query Identification

  • Database Health Dashboard

  • Index Usage Analysis

  • Read-Only Query Execution

Use cases of PostgreSQL Analyzer MCP

  • Optimize database schema and provide optimization recommendations

  • Identify slow-running queries in the database

  • Analyze a SQL query and provide optimization recommendations

  • Recommend indexes for a given SQL query

  • Suggest optimized rewrites for a SQL query

  • Generate a comprehensive health dashboard for the database

FAQ from PostgreSQL Analyzer MCP

What is the default mode of operation?

The tool operates in read-only mode by default to prevent accidental modifications to the database.

What are the prerequisites for installation?

Python 3.12+ (or Docker), Amazon Aurora or RDS PostgreSQL database, and an AWS account (optional).

How do I configure database credentials?

You can store credentials in AWS Secrets Manager (recommended) or provide them directly when using the tools.

What extensions are recommended for optimal performance analysis?

It's recommended to enable the pg_stat_statements and pg_buffercache extensions.

Is this tool production ready?

No, this project is experimental and provided as a demonstration. All recommendations and code should be carefully reviewed before implementation in any production environment.