# Set up environment variables
export DATABASE_URL="postgres://user:password@localhost:5432/your-existing-db"
export OPENAI_API_KEY="your-api-key"  # Optional

# Run server (using pre-compiled binary)
./pgmcp-server

# Test with client in another terminal
./pgmcp-client -ask "What tables do I have?" -format table
./pgmcp-client -ask "Who is the customer that has placed the most orders?" -format table
./pgmcp-client -search "john" -format table

👤 User / AI Assistant
         │
         │ "Who are the top customers?"
         ▼
┌─────────────────────────────────────────────────────────────┐
│                    Any MCP Client                           │
│                                                             │
│  PGMCP CLI  │  Cursor  │  Claude Desktop  │  VS Code  │ ... │
│  JSON/CSV   │  Chat    │  AI Assistant    │  Editor   │     │
└─────────────────────────────────────────────────────────────┘
         │
         │ Streamable HTTP / MCP Protocol
         ▼
┌─────────────────────────────────────────────────────────────┐
│                    PGMCP Server                             │
│                                                             │
│  🔒 Security    🧠 AI Engine      🌊 Streaming               │
│  • Input Valid  • Schema Cache    • Auto-Pagination         │
│  • Audit Log    • OpenAI API      • Memory Management       │
│  • SQL Guard    • Error Recovery  • Connection Pool         │
└─────────────────────────────────────────────────────────────┘
         │
         │ Read-Only SQL Queries
         ▼
┌─────────────────────────────────────────────────────────────┐
│                Your PostgreSQL Database                     │
│                                                             │
│  Any Schema: E-commerce, Analytics, CRM, etc.               │
│  Tables • Views • Indexes • Functions                       │
└─────────────────────────────────────────────────────────────┘

External AI Services:
OpenAI API • Anthropic • Local LLMs (Ollama, etc.)

Key Benefits:
✅ Works with ANY PostgreSQL database (no assumptions about schema)
✅ No schema modifications required  
✅ Read-only access (100% safe)
✅ Automatic streaming for large results
✅ Intelligent query understanding (singular vs plural)
✅ Robust error handling (graceful AI failure recovery)
✅ PostgreSQL case sensitivity support (mixed-case tables)
✅ Production-ready security and performance
✅ Universal database compatibility
✅ Multiple output formats (table, JSON, CSV)
✅ Free-text search across all columns
✅ Authentication support
✅ Comprehensive testing suite

# Example for macOS/Linux
tar xzf pgmcp_*.tar.gz
cd pgmcp_*
./pgmcp-server

# Homebrew (macOS/Linux) - Available after first release
brew tap subnetmarco/homebrew-tap
brew install pgmcp

# Build from source
go build -o pgmcp-server ./server
go build -o pgmcp-client ./client

# Docker
docker run -e DATABASE_URL="postgres://user:pass@host:5432/db" \
  -p 8080:8080 ghcr.io/subnetmarco/pgmcp:latest

# Kubernetes (see examples/ directory for full manifests)
kubectl create secret generic pgmcp-secret \
  --from-literal=database-url="postgres://user:pass@host:5432/db"
kubectl apply -f examples/k8s/

# Set up database (optional - works with any existing PostgreSQL database)
export DATABASE_URL="postgres://user:password@localhost:5432/mydb"
psql $DATABASE_URL < schema.sql

# Run server
export OPENAI_API_KEY="your-api-key"
./pgmcp-server

# Test with client
./pgmcp-client -ask "Who is the user that places the most orders?" -format table
./pgmcp-client -ask "Show me the top 40 most reviewed items in the marketplace" -format table

# Ask questions in natural language
./pgmcp-client -ask "What are the top 5 customers?" -format table
./pgmcp-client -ask "How many orders were placed today?" -format json

# Search across all text fields
./pgmcp-client -search "john" -format table

# Multiple questions at once
./pgmcp-client -ask "Show tables" -ask "Count users" -format table

# Different output formats
./pgmcp-client -ask "Export all data" -format csv -max-rows 1000

export DATABASE_URL="postgres://user:pass@host:5432/your_db"
./pgmcp-server
./pgmcp-client -ask "What tables do I have?"

{
  "error": "Column not found in generated query",
  "suggestion": "Try rephrasing your question or ask about specific tables",
  "original_sql": "SELECT non_existent_column FROM table..."
}

# Start server
export DATABASE_URL="postgres://user:pass@localhost:5432/your_db"
./pgmcp-server

{
  "mcp.servers": {
    "pgmcp": {
      "transport": {
        "type": "http",
        "url": "http://localhost:8080/mcp"
      }
    }
  }
}

{
  "mcpServers": {
    "pgmcp": {
      "transport": {
        "type": "http",
        "url": "http://localhost:8080/mcp"
      }
    }
  }
}

# Unit tests
go test ./server -v

# Integration tests (requires PostgreSQL)
go test ./server -tags=integration -v