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PostgreSQL Database Management

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MCP server providing PostgreSQL database management, analysis, setup, debugging and monitoring capabilities.

PostgreSQL MCP Server

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A Model Context Protocol (MCP) server that provides comprehensive PostgreSQL database management capabilities for AI assistants.

🚀 What's New: This server has been completely redesigned from 46 individual tools to 17 intelligent tools through consolidation (34→8 meta-tools) and enhancement (+4 new tools), providing better AI discovery while adding powerful data manipulation and comment management capabilities.

Quick Start

Option 1: npm (Recommended)

# Install globally npm install -g @henkey/postgres-mcp-server # Or run directly with npx (no installation) npx @henkey/postgres-mcp-server --connection-string "postgresql://user:pass@localhost:5432/db"

Add to your MCP client configuration:

{ "mcpServers": { "postgresql-mcp": { "command": "npx", "args": [ "@henkey/postgres-mcp-server", "--connection-string", "postgresql://user:password@host:port/database" ] } } }

Option 2: Install via Smithery

npx -y @smithery/cli install @HenkDz/postgresql-mcp-server --client claude

Option 3: Manual Installation (Development)

git clone <repository-url> cd postgresql-mcp-server npm install npm run build

Add to your MCP client configuration:

{ "mcpServers": { "postgresql-mcp": { "command": "node", "args": [ "/path/to/postgresql-mcp-server/build/index.js", "--connection-string", "postgresql://user:password@host:port/database" ] } } }

What's Included

17 powerful tools organized into three categories:

  • 🔄 Consolidation: 34 original tools consolidated into 8 intelligent meta-tools
  • 🔧 Specialized: 5 tools kept separate for complex operations
  • 🆕 Enhancement: 4 brand new tools (not in original 46)

📊 Consolidated Meta-Tools (8 tools)

  • Schema Management - Tables, columns, ENUMs, constraints
  • User & Permissions - Create users, grant/revoke permissions
  • Query Performance - EXPLAIN plans, slow queries, statistics
  • Index Management - Create, analyze, optimize indexes
  • Functions - Create, modify, manage stored functions
  • Triggers - Database trigger management
  • Constraints - Foreign keys, checks, unique constraints
  • Row-Level Security - RLS policies and management

🚀 Enhancement Tools (4 NEW tools)

Brand new capabilities not available in the original 46 tools

  • Execute Query - SELECT operations with count/exists support
  • Execute Mutation - INSERT/UPDATE/DELETE/UPSERT operations
  • Execute SQL - Arbitrary SQL execution with transaction support
  • Comments Management - Comprehensive comment management for all database objects

🔧 Specialized Tools (5 tools)

  • Database Analysis - Performance and configuration analysis
  • Debug Database - Troubleshoot connection, performance, locks
  • Data Export/Import - JSON/CSV data migration
  • Copy Between Databases - Cross-database data transfer
  • Real-time Monitoring - Live database metrics and alerts

Example Usage

// Analyze database performance { "analysisType": "performance" } // Create a table with constraints { "operation": "create_table", "tableName": "users", "columns": [ { "name": "id", "type": "SERIAL PRIMARY KEY" }, { "name": "email", "type": "VARCHAR(255) UNIQUE NOT NULL" } ] } // Query data with parameters { "operation": "select", "query": "SELECT * FROM users WHERE created_at > $1", "parameters": ["2024-01-01"], "limit": 100 } // Insert new data { "operation": "insert", "table": "users", "data": {"name": "John Doe", "email": "[email protected]"}, "returning": "*" } // Find slow queries { "operation": "get_slow_queries", "limit": 5, "minDuration": 100 } // Manage database object comments { "operation": "set", "objectType": "table", "objectName": "users", "comment": "Main user account information table" }

📚 Documentation

📋 Complete Tool Schema Reference - All 18 tool parameters & examples in one place

For additional information, see the docs/ folder:

Features Highlights

🔄 Consolidation Achievements

34→8 meta-tools - Intelligent consolidation for better AI discovery
Multiple operations per tool - Unified schemas with operation parameters
Smart parameter validation - Clear error messages and type safety

🆕 Enhanced Data Capabilities

Complete CRUD operations - INSERT/UPDATE/DELETE/UPSERT with parameterized queries
Flexible querying - SELECT with count/exists support and safety limits ✅ Arbitrary SQL execution - Transaction support for complex operations

🔧 Production Ready

Flexible connection - CLI args, env vars, or per-tool configuration
Security focused - SQL injection prevention, parameterized queries
Robust architecture - Connection pooling, comprehensive error handling

Prerequisites

  • Node.js ≥ 18.0.0
  • PostgreSQL server access
  • Valid connection credentials

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Commit your changes
  4. Create a Pull Request

See Development Guide for detailed setup instructions.

License

AGPLv3 License - see LICENSE file for details.

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