Skip to main content
Glama
datdeboer

PostgreSQL MCP Server

by datdeboer

PostgreSQL MCP Server

A production-ready Model Context Protocol (MCP) server that enables Claude to execute read-only SQL queries against PostgreSQL databases safely and securely.

Features

  • Read-Only Queries: Only SELECT statements allowed - no data modification

  • Security First: Comprehensive SQL injection prevention and query validation

  • Connection Pooling: Efficient database connection management

  • Row Limits: Automatic enforcement of query result limits

  • Production Ready: Structured logging, error handling, and graceful shutdown

  • Type Safe: Built with TypeScript for reliability

  • VPS Ready: Includes deployment guides for remote VPS setups

Read the Deployment Guide for instructions on setting up the server on a VPS.

Installation

npm install

Configuration

Create a .env file based on .env.example:

# Required
DATABASE_URL=postgresql://user:password@localhost:5432/dbname

# Optional (with defaults)
NODE_ENV=development
LOG_LEVEL=info
DEFAULT_QUERY_LIMIT=100
MAX_QUERY_LIMIT=10000
QUERY_TIMEOUT_MS=30000

Environment Variables

  • DATABASE_URL (required): PostgreSQL connection string

  • NODE_ENV: Environment mode (development, production, test)

  • LOG_LEVEL: Logging level (trace, debug, info, warn, error, fatal)

  • DEFAULT_QUERY_LIMIT: Default row limit for queries (default: 100)

  • MAX_QUERY_LIMIT: Maximum allowed row limit (default: 10000)

  • QUERY_TIMEOUT_MS: Query execution timeout in milliseconds (default: 30000)

Development

# Run in development mode with auto-reload (no build needed)
npm run dev

# Build the project (compile TypeScript to JavaScript)
npm run build

# Run the production build (after npm run build)
npm start

# Run tests
npm test

# Run tests in watch mode
npm run test:watch

# Run tests with coverage
npm run test:coverage

# Type check
npm run type-check

# Lint
npm run lint

# Format code
npm run format

Local Testing

Test your MCP server locally before integrating with Claude Desktop:

# Ensure .env file is configured with DATABASE_URL
npm run test:local

This runs automated tests that verify:

  • Server starts correctly

  • Tools are registered

  • Queries execute successfully

  • Security validation works

  • Row limits are enforced

Option 2: MCP Inspector (Interactive)

# Build first
npm run build

# Start the inspector
npm run inspect

This opens a web UI where you can:

  • Browse available tools

  • Execute queries interactively

  • View responses and debug messages

  • Test different parameters

Option 3: Manual Testing with PostgreSQL Client

# Run the dev server
npm run dev

# In another terminal, test your database connection
psql $DATABASE_URL -c "SELECT 1"

Usage with Claude Desktop

1. Build the Project

npm run build

2. Configure Claude Desktop

Add to your Claude Desktop config file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "postgres": {
      "command": "node",
      "args": ["/absolute/path/to/mcp-server/dist/index.js"],
      "env": {
        "DATABASE_URL": "postgresql://user:password@localhost:5432/dbname"
      }
    }
  }
}

3. Restart Claude Desktop

Restart Claude Desktop to load the MCP server.

4. Test the Connection

Try asking Claude:

  • "List all tables in the database"

  • "Show me the first 5 rows from the users table"

  • "Count the total number of records in the orders table"

Available Tools

execute_query

Execute a read-only SQL SELECT query against the PostgreSQL database.

Parameters:

  • query (string, required): The SQL SELECT query to execute

  • limit (number, optional): Row limit for results (default: from config, max: 10000)

Example:

{
  "query": "SELECT id, name, email FROM users WHERE active = true",
  "limit": 50
}

Response:

{
  "success": true,
  "data": {
    "rows": [...],
    "rowCount": 42,
    "fields": [
      { "name": "id", "dataType": "integer" },
      { "name": "name", "dataType": "text" },
      { "name": "email", "dataType": "varchar" }
    ],
    "executionTimeMs": 15
  }
}

Security

Query Validation

The server implements multiple layers of security:

  1. SQL Parsing: Queries are parsed using node-sql-parser to ensure valid syntax

  2. Statement Type Check: Only SELECT statements are allowed

  3. Dangerous Function Detection: Blocks PostgreSQL functions like pg_read_file, COPY, etc.

  4. Comment Removal: SQL comments are stripped to prevent comment-based injection

  5. Row Limit Enforcement: Automatic LIMIT clauses prevent excessive data retrieval

  6. Read-Only Validation: Additional layer ensures no data modification

Blocked Operations

  • INSERT, UPDATE, DELETE, TRUNCATE

  • CREATE, DROP, ALTER (DDL operations)

  • GRANT, REVOKE (permission changes)

  • SELECT INTO (data copying)

  • FOR UPDATE/FOR SHARE (row locking)

  • Dangerous functions (pg_read_file, pg_ls_dir, COPY, etc.)

Best Practices

  1. Use Read-Only Database Users: Create a database user with SELECT-only permissions

  2. Limit Database Access: Only grant access to necessary schemas/tables

  3. Use SSL/TLS: Enable SSL for database connections in production

  4. Monitor Queries: Review logs regularly for suspicious activity

  5. Set Resource Limits: Configure appropriate query timeouts and row limits

Testing

Unit Tests

npm test

Unit tests cover:

  • Query validation and sanitization

  • Security checks (SQL injection, dangerous functions)

  • Row limit enforcement

Integration Tests

Integration tests require a running PostgreSQL instance:

# Start PostgreSQL (example with Docker)
docker run --name test-postgres \
  -e POSTGRES_PASSWORD=testpass \
  -p 5432:5432 \
  -d postgres:16

# Set DATABASE_URL and run tests
export DATABASE_URL=postgresql://postgres:testpass@localhost:5432/postgres
npm test

Architecture

src/
├── index.ts              # Entry point
├── server.ts             # MCP server setup
├── config/
│   └── index.ts         # Configuration loader
├── database/
│   └── connection.ts    # PostgreSQL connection with pooling
├── security/
│   ├── query-validator.ts      # SQL validation
│   └── read-only-validator.ts  # Read-only enforcement
├── tools/
│   └── query-tool.ts    # execute_query tool
└── utils/
    ├── logger.ts        # Structured logging
    └── types.ts         # TypeScript types

Error Handling

The server provides detailed error messages:

  • ValidationError: Invalid query syntax or parameters

  • SecurityError: SQL injection attempts or unauthorized operations

  • DatabaseError: Connection failures or query execution errors

  • ConfigurationError: Missing or invalid configuration

Logging

Structured JSON logging in production, pretty-printed in development:

{
  "level": "info",
  "time": "2024-01-11T10:30:00.000Z",
  "msg": "Query executed successfully",
  "rowCount": 42,
  "executionTimeMs": 15
}

Troubleshooting

Connection Issues

  • Verify DATABASE_URL is correct

  • Check database is running and accessible

  • Ensure firewall allows PostgreSQL connections

  • Test connection with psql command

Permission Errors

  • Ensure database user has SELECT permissions

  • Check schema access permissions

  • Verify connection string includes correct database name

Query Timeouts

  • Increase QUERY_TIMEOUT_MS for long-running queries

  • Optimize slow queries with indexes

  • Reduce row limits if fetching too much data

Future Enhancements (v2)

  • Multi-database support

  • Additional tools (list_tables, describe_table, get_schema)

  • HTTP transport for remote access

  • Schema caching

  • Query history logging

  • Prometheus metrics export

License

MIT

Contributing

Contributions are welcome! Please ensure:

  • Tests pass (npm test)

  • Code is formatted (npm run format)

  • Types are valid (npm run type-check)

  • Security best practices are followed

-
security - not tested
F
license - not found
-
quality - not tested

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/datdeboer/mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server