pgmcp
An MCP server to query any Postgres database in natural language.
Documentation
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
PGMCP connects to your existing PostgreSQL database and makes it accessible to AI assistants through natural language queries.
Prerequisites
- PostgreSQL database (existing database with your schema)
- OpenAI API key (optional, for AI-powered SQL generation)
Basic Usage
# 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 tableHere is how it works:
๐ค User / AI Assistant
โ
โ "Who are the top customers?"
โผ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Any MCP Client โ
โ โ
โ PGMCP CLI โ Cursor โ Claude Desktop โ VS Code โ ... โ
โ JSON/CSV โ Chat โ AI Assistant โ Editor โ โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ
โ Streamable HTTP / MCP Protocol
โผ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ PGMCP Server โ
โ โ
โ ๐ Security ๐ง AI Engine ๐ Streaming โ
โ โข Input Valid โข Schema Cache โข Auto-Pagination โ
โ โข Audit Log โข OpenAI API โข Memory Management โ
โ โข SQL Guard โข Error Recovery โข Connection Pool โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ
โ Read-Only SQL Queries
โผ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Your PostgreSQL Database โ
โ โ
โ Any Schema: E-commerce, Analytics, CRM, etc. โ
โ Tables โข Views โข Indexes โข Functions โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
External AI Services:
OpenAI API โข Anthropic โข Local LLMs (Ollama, etc.)
Key Benefits:
โ
Works with ANY PostgreSQL database (no assumptions about schema)
โ
No schema modifications required
โ
Read-only access (100% safe)
โ
Automatic streaming for large results
โ
Intelligent query understanding (singular vs plural)
โ
Robust error handling (graceful AI failure recovery)
โ
PostgreSQL case sensitivity support (mixed-case tables)
โ
Production-ready security and performance
โ
Universal database compatibility
โ
Multiple output formats (table, JSON, CSV)
โ
Free-text search across all columns
โ
Authentication support
โ
Comprehensive testing suiteFeatures
- 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
Environment Variables
Required:
- `DATABASE_URL`: PostgreSQL connection string to your existing database
Optional:
- `OPENAI_API_KEY`: OpenAI API key for AI-powered SQL generation
- `OPENAI_MODEL`: Model to use (default: "gpt-4o-mini")
- `HTTP_ADDR`: Server address (default: ":8080")
- `HTTP_PATH`: MCP endpoint path (default: "/mcp")
- `AUTH_BEARER`: Bearer token for authentication
Installation
Download Pre-compiled Binaries
1. Go to GitHub Releases
2. Download the binary for your platform (Linux, macOS, Windows)
3. Extract and run:
# Example for macOS/Linux
tar xzf pgmcp_*.tar.gz
cd pgmcp_*
./pgmcp-serverAlternative Options
# 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 ./clientAdd `-ldflags="-s -w -extldflags=-static" -trimpath` if you want to get stripped executables (no debug info):
go build -ldflags="-s -w -extldflags=-static" -trimpath -o pgmcp-server ./server
go build -ldflags="-s -w -extldflags=-static" -trimpath -o pgmcp-client ./clientDocker/Kubernetes
# 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/Quick Start
# 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 tableEnvironment Variables
Required:
- `DATABASE_URL`: PostgreSQL connection string
Optional:
- `OPENAI_API_KEY`: OpenAI API key for SQL generation
- `OPENAI_MODEL`: Model to use (default: "gpt-4o-mini")
- `HTTP_ADDR`: Server address (default: ":8080")
- `HTTP_PATH`: MCP endpoint path (default: "/mcp")
- `AUTH_BEARER`: Bearer token for authentication
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 1000Example Database
The project includes two schemas:
- `schema.sql`: Full Amazon-like marketplace with 5,000+ records
- `schema_minimal.sql`: Minimal test schema with mixed-case `"Categories"` table
Key features:
- Mixed-case table names (`"Categories"`) for testing case sensitivity
- Composite primary keys (`order_items`) for testing AI assumptions
- Realistic relationships and data types
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-serverAdd to Cursor settings:
{
"mcp.servers": {
"pgmcp": {
"transport": {
"type": "http",
"url": "http://localhost:8080/mcp"
}
}
}
}Claude Desktop Integration
Edit `~/.config/claude-desktop/claude_desktop_config.json`:
{
"mcpServers": {
"pgmcp": {
"transport": {
"type": "http",
"url": "http://localhost:8080/mcp"
}
}
}
}API Tools
- `ask`: Natural language questions โ SQL queries with automatic streaming
- `search`: Free-text search across all database text columns
- `stream`: 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 -vLicense
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.
Frequently asked questions
What is pgmcp?
pgmcp is An MCP server to query any Postgres database in natural language.
How do I install pgmcp?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is pgmcp open source?
Yes โ it is hosted on GitHub at https://github.com/subnetmarco/pgmcp and has 540 stars.
Related MCP tools
The easy-to-use open source Business Intelligence and Embedded Analytics tool that lets everyone work with data :bar_chart:
MCP server and Claude plugin for Postgres skills and documentation. Helps AI coding tools generate better PostgreSQL code.
mcp-language-server gives MCP enabled clients access semantic tools like get definition, references, rename, and diagnostics.
Query anything (GitHub, Notion, +40 more) with SQL and let LLMs (ChatGPT, Claude) connect to using MCP Go-based implementation. Trusted by 1300+ developers.
The go-to web for your AI coding agent โ local-first search, fetch, crawl & research over MCP. No API keys, no cloud, $0/query. Public beta.
A desktop MCP client designed as a tool unitary utility integration, accelerating AI adoption through the Model Context Protocol (MCP) and enabling cross-vendor LLM API orchestration.
Run your own MCP server? See who uses it and what to fix.
Measure it with TrackMCP