subnetmarco/pgmcp
If you are the rightful owner of pgmcp and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
PGMCP is a server that enables AI assistants to access PostgreSQL databases using natural language queries, ensuring secure, read-only interactions.
PGMCP - PostgreSQL Model Context Protocol Server
PGMCP connects AI assistants to any PostgreSQL database through natural language queries. Ask questions in plain English and get structured SQL results with automatic streaming and robust error handling.
Works with: Cursor, Claude Desktop, VS Code extensions, and any MCP-compatible client
Quick Start
Prerequisites
- Go 1.23+
- PostgreSQL database
- OpenAI API key (optional, can use other compatible APIs)
Installation
# Build
go build -o pgmcp-server ./server
go build -o pgmcp-client ./client
# 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
Environment Variables
Required:
DATABASE_URL
: PostgreSQL connection string
Optional:
OPENAI_API_KEY
: OpenAI API key for SQL generationOPENAI_MODEL
: Model to use (default: "gpt-4o-mini")HTTP_ADDR
: Server address (default: ":8080")AUTH_BEARER
: Bearer token for authentication
š¤ User / AI Assistant
ā
ā "Who are the top customers?"
ā¼
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ā Any MCP Client ā
ā ā
ā PGMCP CLI ā Cursor ā Claude Desktop ā VS Code ā ... ā
ā JSON/CSV ā Chat ā AI Assistant ā Editor ā ā
āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā
ā
ā HTTP SSE / MCP Protocol
ā¼
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ā PGMCP Server ā
ā ā
ā š Security š§ AI Engine š Streaming ā
ā ⢠Input Valid ⢠Schema Cache ⢠Auto-Pagination ā
ā ⢠Audit Log ⢠OpenAI API ⢠Memory Management ā
ā ⢠SQL Guard ⢠Error Recovery ⢠Connection Pool ā
āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā
ā
ā Read-Only SQL Queries
ā¼
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ā Your PostgreSQL Database ā
ā ā
ā Any Schema: E-commerce, Analytics, CRM, etc. ā
ā Tables ⢠Views ⢠Indexes ⢠Functions ā
āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā
External AI Services:
OpenAI API ⢠Anthropic ⢠Local LLMs (Ollama, etc.)
Key Benefits:
ā
Works with ANY PostgreSQL database (no assumptions about schema)
ā
No schema modifications required
ā
Read-only access (100% safe)
ā
Automatic streaming for large results
ā
Intelligent query understanding (singular vs plural)
ā
Robust error handling (graceful AI failure recovery)
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PostgreSQL case sensitivity support (mixed-case tables)
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Production-ready security and performance
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Universal database compatibility
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Multiple output formats (table, JSON, CSV)
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Free-text search across all columns
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Authentication support
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Comprehensive testing suite
Usage Examples
# 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
Features
- Natural Language to SQL: Ask questions in plain English
- Automatic Streaming: Handles large result sets automatically
- Safe Read-Only Access: Prevents any write operations
- Text Search: Search across all text columns
- Multiple Output Formats: Table, JSON, and CSV
- PostgreSQL Case Sensitivity: Handles mixed-case table names correctly
- Universal Compatibility: Works with any PostgreSQL database
Example Database
The project includes an Amazon-like marketplace schema (schema.sql
) with realistic data:
- Users (5,000), "Categories" (23), Items (1,800), Orders (10,000)
- Mixed-case table names for testing case sensitivity
- Full-text search indexes and realistic relationships
Use your own database:
export DATABASE_URL="postgres://user:pass@host:5432/your_db"
./pgmcp-server
./pgmcp-client -ask "What tables do I have?"
AI Error Handling
When AI generates incorrect SQL, PGMCP handles it gracefully:
{
"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..."
}
Instead of crashing, the system provides helpful feedback and continues operating.
MCP Integration
Cursor Integration
# Start server
export DATABASE_URL="postgres://user:pass@localhost:5432/your_db"
./pgmcp-server
Add to Cursor settings:
{
"mcp.servers": {
"pgmcp": {
"transport": {
"type": "sse",
"url": "http://localhost:8080/mcp/sse"
}
}
}
}
Claude Desktop Integration
Edit ~/.config/claude-desktop/claude_desktop_config.json
:
{
"mcpServers": {
"pgmcp": {
"command": "curl",
"args": ["-N", "-H", "Accept: text/event-stream", "http://localhost:8080/mcp/sse"]
}
}
}
API Tools
ask
: Natural language questions ā SQL queries with automatic streamingsearch
: Free-text search across all database text columnsstream
: Advanced streaming for very large result sets with pagination
Safety Features
- Read-Only Enforcement: Blocks write operations (INSERT, UPDATE, DELETE, etc.)
- Query Timeouts: Prevents long-running queries
- Input Validation: Sanitizes and validates all user input
- Transaction Isolation: All queries run in read-only transactions
Testing
# Unit tests
go test ./server -v
# Integration tests (requires PostgreSQL)
go test ./server -tags=integration -v
License
Apache 2.0 - See LICENSE file for details.
Related Projects
- Model Context Protocol - The underlying protocol specification
- MCP Go SDK - Go implementation of MCP
PGMCP makes your PostgreSQL database accessible to AI assistants through natural language while maintaining security through read-only access controls.