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PostgreSQL MCP Server

A secure, read-only PostgreSQL Model Context Protocol (MCP) server for AI assistant integration with automatic database discovery and connection management.

What It Does

This tool provides two main components:

  • Query Executor (execute_query.py): Interactive PostgreSQL query execution with support for direct queries, file input, and interactive mode
  • MCP Server (mcp_postgresql_server.py): AI assistant integration that allows natural language database interactions through Claude and other MCP clients

Key Features

  • Automatic Database Discovery: Scans project files for database configurations and presents options for selection
  • Read-Only Safety: Blocks write operations by default (configurable)
  • Interactive Configuration: Guides users through database setup with automatic .env file management
  • Connection Pooling: Efficient PostgreSQL connection management
  • AI Integration: Works seamlessly with Claude Desktop and Cursor IDE

Quick Start

Prerequisites: Ensure you have uv installed.

Using uvx (Recommended)

Run directly without installation:

# MCP Server for AI integration
uvx mcp-postgresql-server

# Query executor
uvx --from mcp-postgresql-server execute-query "SELECT version()"

Configuration

Set your database connection:

export MCP_POSTGRESQL_DATABASE="postgres://username:password@hostname:port/database"

Or create a .env file:

MCP_POSTGRESQL_DATABASE=postgres://username:password@hostname:port/database
MCP_POSTGRESQL_READ_ONLY=true
MCP_POSTGRESQL_LOG_FILE=./mcp-postgresql.log
MCP_POSTGRESQL_LOG_LEVEL=info

Usage Examples

Query Executor

Using uvx (recommended):

# Interactive mode
uvx --from mcp-postgresql-server execute-query

# Direct query
uvx --from mcp-postgresql-server execute-query "SELECT COUNT(*) FROM users"

# From file
uvx --from mcp-postgresql-server execute-query --file queries.sql

Using Python directly:

# Interactive mode
python3 execute_query.py

# Direct query
python3 execute_query.py "SELECT COUNT(*) FROM users"

# From file
python3 execute_query.py --file queries.sql

MCP Server with Claude Code (globally)

Add to ~/.claude.json:

{
  "mcpServers": {
    "mcp-postgres": {
      "command": "uvx",
      "args": ["mcp-postgresql-server"],
      "env": {
        "MCP_POSTGRESQL_CWD": "${PWD}"
      }
    }
  }
}

Then ask Claude:

  • "Show me all tables in the database"
  • "Execute SELECT COUNT(*) FROM users"
  • "Help me write a query to find recent orders"

Cursor IDE Integration

Create/update mcp.json in your project root:

{
  "mcpServers": {
    "mcp-postgresql-server": {
      "command": "uvx",
      "args": ["mcp-postgresql-server"],
      "env": {
        "MCP_POSTGRESQL_CWD": "."
      }
    }
  }
}

Configuration Discovery

The server automatically discovers database configurations from:

  • .env files
  • .conf and .ini files
  • .json and .yaml files
  • Individual parameter files (db.host, db.user, etc.)

When multiple configurations are found, it presents an interactive selection menu. Saved configurations are stored in a .env file for future use using MCP_POSTGRESQL_DATABASE variable.

Environment Variables

Variable Description Default
MCP_POSTGRESQL_DATABASE PostgreSQL connection URI Required
MCP_POSTGRESQL_READ_ONLY Enable read-only mode true
MCP_POSTGRESQL_LOG_FILE Log file path (optional) None
MCP_POSTGRESQL_LOG_LEVEL Log level (debug, info, warning, error, critical) error
MCP_POSTGRESQL_CWD Path of the project working directory .

Security

  • Read-only by default: Blocks INSERT, UPDATE, CREATE, ALTER, DROP operations
  • Connection validation: Validates all database connections before use
  • Credential protection: Supports environment variables and .env files
  • Error handling: Comprehensive error reporting without exposing sensitive data

Common Issues

Connection errors: Verify MCP_POSTGRESQL_DATABASE format: postgres://user:password@host:port/database

Permission issues: Ensure database user has appropriate SELECT permissions

Metadata

Release files for mcp-postgresql-server 1.4.0

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