postgres-mcp-server
Enables AI assistants to securely interact with PostgreSQL databases through a standardized MCP interface, supporting SQL queries, schema inspection, and database management.
README
PostgreSQL MCP Server
A production-ready Model Context Protocol server for PostgreSQL database operations. Enables AI assistants to securely interact with PostgreSQL databases through a standardized interface.
Features
- 11 MCP Tools - list_tables, describe_table, execute_select, execute_query, list_schemas, list_views, explain_query, database_info, health_check, connection_status, metrics
- Security First - SQL injection detection, blocked dangerous commands, read-only mode, rate limiting
- Async Everywhere - asyncpg connection pooling with automatic reconnect and retry
- Schema Caching - TTL-based caching for metadata queries
- Structured Logging - structlog with JSON or console output
- Metrics - query counts, execution times, security violations
- Type Safe - Pydantic v2 models, strict mypy typing
- Production Ready - graceful shutdown, signal handling, connection health checks
Prerequisites
- Python 3.12+
- uv package manager
- PostgreSQL 14+
Installation
# Clone and enter the project
cd postgres-mcp-server
# Create environment and install dependencies
uv sync
# Configure environment
cp .env.example .env
# Edit .env with your PostgreSQL connection details
Configuration
| Variable | Default | Description |
|---|---|---|
| POSTGRES_HOST | localhost | PostgreSQL host |
| POSTGRES_PORT | 5432 | PostgreSQL port |
| POSTGRES_DATABASE | postgres | Database name |
| POSTGRES_USER | postgres | Database user |
| POSTGRES_PASSWORD | Database password | |
| POSTGRES_MIN_CONNECTIONS | 1 | Min pool connections |
| POSTGRES_MAX_CONNECTIONS | 10 | Max pool connections |
| READ_ONLY | true | Restrict to SELECT only |
| ALLOW_WRITE | false | Enable write operations |
| MAX_ROWS | 1000 | Max rows returned per query |
| QUERY_TIMEOUT | 30 | Query timeout in seconds |
| RATE_LIMIT | 60 | Max requests per window |
| RATE_WINDOW | 60 | Rate limit window in seconds |
| LOG_LEVEL | INFO | Log level (DEBUG, INFO, WARNING, ERROR) |
| LOG_JSON | false | Output logs as JSON |
| CACHE_TTL | 300 | Schema cache TTL in seconds |
| RETRY_MAX_ATTEMPTS | 3 | Max connection retries |
| METRICS_ENABLED | true | Enable metrics collection |
Running the Server
# Start with stdio transport (default for MCP)
uv run python -m src.server
# Or directly
uv run src/server.py
Connecting with MCP Clients
Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"postgres": {
"command": "uv",
"args": [
"--directory",
"/path/to/postgres-mcp-server",
"run",
"src/server.py"
],
"env": {
"POSTGRES_HOST": "localhost",
"POSTGRES_PORT": "5432",
"POSTGRES_DATABASE": "yourdb",
"POSTGRES_USER": "youruser",
"POSTGRES_PASSWORD": "yourpassword"
}
}
}
}
Cursor
In Cursor settings, add a new MCP server:
{
"mcpServers": {
"postgres": {
"command": "uv",
"args": [
"--directory",
"/path/to/postgres-mcp-server",
"run",
"src/server.py"
],
"env": {
"POSTGRES_HOST": "localhost",
"POSTGRES_PORT": "5432",
"POSTGRES_DATABASE": "yourdb",
"POSTGRES_USER": "youruser",
"POSTGRES_PASSWORD": "yourpassword"
}
}
}
}
OpenCode
In opencode.json:
{
"mcpServers": {
"postgres": {
"command": "uv",
"args": [
"--directory",
"/path/to/postgres-mcp-server",
"run",
"src/server.py"
],
"env": {
"POSTGRES_HOST": "localhost",
"POSTGRES_PORT": "5432",
"POSTGRES_DATABASE": "yourdb",
"POSTGRES_USER": "youruser",
"POSTGRES_PASSWORD": "yourpassword"
}
}
}
}
VS Code MCP Extension
In VS Code settings (settings.json):
{
"mcp.server": {
"postgres": {
"command": "uv",
"args": [
"--directory",
"/path/to/postgres-mcp-server",
"run",
"src/server.py"
],
"env": {
"POSTGRES_HOST": "localhost",
"POSTGRES_PORT": "5432",
"POSTGRES_DATABASE": "yourdb",
"POSTGRES_USER": "youruser",
"POSTGRES_PASSWORD": "yourpassword"
}
}
}
}
Available Tools
| Tool | Description |
|---|---|
list_tables |
List all tables, optionally filtered by schema |
describe_table |
Get table schema with columns, types, constraints, indexes |
execute_select |
Run SELECT queries with parameters and pagination |
execute_query |
Run INSERT/UPDATE/DELETE (requires write mode) |
list_schemas |
List all database schemas |
list_views |
List all views, optionally filtered by schema |
explain_query |
Get PostgreSQL execution plan for a query |
database_info |
Get database version, encoding, timezone |
health_check |
Check database connection health |
connection_status |
Get connection pool status |
metrics |
Get server metrics |
Example Usage
# List all tables
result = await list_tables()
# Describe a table
result = await describe_table(schema="public", table="users")
# Execute a SELECT query
result = await execute_select(
query="SELECT * FROM users WHERE active = $1",
params=[True],
limit=50
)
# Get database info
result = await database_info()
# Explain a query
result = await explain_query("SELECT * FROM users JOIN orders ON users.id = orders.user_id")
# Check health
result = await health_check()
# Get metrics
result = await metrics()
Security
- Blocked commands: DROP, ALTER, TRUNCATE, CREATE DATABASE, DROP DATABASE, COPY, VACUUM, GRANT, REVOKE, CREATE EXTENSION
- SQL injection detection: Pattern-based detection of common injection vectors
- Rate limiting: Configurable request throttling
- Query timeout: Automatic cancellation of long-running queries
- Row limits: Maximum rows returned per query
- Read-only mode: Restrict all write operations
Project Structure
postgres-mcp-server/
├── src/
│ ├── __init__.py
│ ├── server.py # FastMCP server entry point
│ ├── config.py # Environment configuration
│ ├── database.py # asyncpg connection pool & queries
│ ├── tools.py # MCP tool implementations
│ ├── security.py # SQL validation & security
│ ├── models.py # Pydantic data models
│ ├── utils.py # Utility functions
│ └── logger.py # structlog setup
├── tests/
│ ├── __init__.py
│ ├── test_security.py
│ ├── test_models.py
│ ├── test_database.py
│ └── test_utils.py
├── .env.example
├── pyproject.toml
└── README.md
Development
# Install dev dependencies
uv sync --dev
# Run tests
uv run pytest
# Run linting
uv run ruff check src/
# Run type checking
uv run mypy src/
# Run formatting check
uv run black --check src/
Troubleshooting
Connection refused
Ensure PostgreSQL is running and accessible from the server host.
Authentication failed
Verify POSTGRES_USER and POSTGRES_PASSWORD in .env.
Timeout errors
Increase QUERY_TIMEOUT or optimize your queries.
Security violations
Queries containing blocked commands or suspicious patterns are rejected. Use execute_select for SELECT queries.
Pool exhaustion
Increase POSTGRES_MAX_CONNECTIONS if you see pool acquisition timeouts.
License
MIT
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