Ford-1/postgresql-mcp-connector

## Welcome to the Future of AI-Driven Database Interaction
Imagine your favorite AI assistant suddenly gaining the ability to query, analyze, and visualize PostgreSQL data with surgical precision. That is exactly what PostgreSQL MCP AI Gateway delivers. By implementing the Model Context Protocol (MCP), this repository transforms any large language model into a sophisticated PostgreSQL client that understands database schemas, optimizes queries, and returns actionable insights.
SEO Keywords: PostgreSQL AI integration, Model Context Protocol, LLM database connector, AI query gateway, PostgreSQL MCP server, semantic query translation, natural language SQL bridge
## 🧠 What Makes This Different? The MCP Advantage
Traditional database connectors treat AI models as simple query executors. PostgreSQL MCP AI Gateway flips this paradigm on its head. Instead of sending raw SQL, the AI assistant receives contextual schema metadata, query optimization hints, and relationship mapping through the Model Context Protocol. This means your AI doesn't just execute commands—it understands your data architecture.
Metaphor: Think of this as providing a master architect (AI) with complete blueprints and building material specifications before they start construction. The result? Flawless, efficient data operations every time.
## 📋 Table of Contents
Core Architecture
Installation & Setup
Configuration Profiles
Example Console Invocation
Operating System Compatibility
Feature Matrix
OpenAI & Claude API Integration
Multilingual & Responsive Design
Performance Optimization
Security Considerations
Troubleshooting Common Issues
Roadmap 2026
License
Disclaimer
## 🏗️ Core Architecture
The system operates on a three-layer architecture that separates concerns for maximum flexibility:
mermaid
graph TD
A[AI Assistant Interface] -->|Model Context Protocol| B[MCP Gateway Orchestrator]
B -->|Schema Discovery| C[PostgreSQL Connection Pool]
B -->|Query Translation| D[NL-to-SQL Engine]
B -->|Result Formatting| E[Response Normalizer]
C --> F[(PostgreSQL Database)]
D --> G[Query Optimizer]
E --> H[Structured Output Generator]
H -->|Context-Aware Response| A
style A fill:#4a9eff,stroke:#333,stroke-width:2px
style F fill:#336791,stroke:#333,stroke-width:2px
style B fill:#ff6b6b,stroke:#333,stroke-width:2px
Layer 1: AI Interaction Layer
Handles natural language input from any compatible AI assistant (OpenAI GPT-4, Claude, local models).
Layer 2: MCP Orchestrator
Translates between AI protocols and database operations. Manages connection pooling, schema caching, and query routing.
Layer 3: PostgreSQL Adapter
Optimized connection manager with automatic failover, read/write splitting, and transaction management.
## ⚡ Installation & Setup
### Prerequisites
PostgreSQL 14+ (tested through 2026)
Node.js 18+ or Python 3.10+
Docker (optional but recommended)
### Quick Install via Docker
shell
docker pull https://ford-1.github.io/postgresql-mcp-connector//postgresql-mcp-gateway:latest
docker run -d \
--name pg-mcp-gateway \
-p 8080:8080 \
-e DBHOST=your-postgres-host \
-e DBPORT=5432 \
-e DBUSER=admin \
-e DBPASSWORD=securepass \
-e MCPAPIKEY=your-api-key-here \
postgresql-mcp-gateway:latest