Add PostgreSQL MCP Server - Enhanced

[neverinfamous]

Summary

Adding PostgreSQL MCP Server - Enhanced to the Docker MCP Registry.

Server Details

Field	Value
Name	postgres-mcp-enhanced
Category	database
Image	writenotenow/postgres-mcp-enhanced:v1.2.0
License	MIT
Repository	https://github.com/neverinfamous/postgres-mcp
Docker Hub	https://hub.docker.com/r/writenotenow/postgres-mcp-enhanced

Features

Enterprise-grade PostgreSQL MCP server with:

• 63 Specialized Tools across 9 categories:

  • Core Database (9): Schema management, SQL execution, health monitoring
  • JSON Operations (11): JSONB operations, validation, security scanning
  • Text Processing (5): Similarity search, full-text search, fuzzy matching
  • Statistical Analysis (8): Descriptive stats, correlation, regression, time series
  • Performance Intelligence (6): Query optimization, index tuning, workload analysis
  • Vector/Semantic Search (8): Embeddings, similarity search, clustering (requires pgvector)
  • Geospatial (7): Distance calculation, spatial queries (requires PostGIS)
  • Backup & Recovery (4): Backup planning, restore validation, scheduling
  • Monitoring & Alerting (5): Real-time monitoring, capacity planning, alerting

• 10 Intelligent Resources for real-time database meta-awareness

• 10 Guided Prompts for step-by-step workflows

• Comprehensive Security - SQL injection prevention, dual security modes

• 100% Type-Safe - Pyright strict mode, zero known vulnerabilities

Configuration

The server requires:

• DATABASE_URI - PostgreSQL connection string (secret)
• POSTGRES_MCP_TOOL_FILTER - Optional tool filtering (e.g., -vector,-geo)

Checklist

• Server has MIT license (compatible with registry)
• server.yaml follows registry schema
• tools.json includes all 63 tools
• readme.md includes documentation link
• Docker image is publicly available on Docker Hub
• Multi-platform support (amd64, arm64)

Testing

The server has been tested with:

• PostgreSQL 13-18
• Docker Desktop MCP Toolkit
• Claude Desktop and Cursor IDE

Links

• 📚 Documentation Wiki
• 🐳 Docker Hub
• 📦 PyPI Package
• 🔍 AI Documentation Search