MCP Server for PostgreSQL

by JaviMaligno

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About

MCP server with 14 tools for PostgreSQL database operations. Query databases, explore schemas, analyze tables, list indexes/constraints, and get performance statistics. Features security-first design with SQL injection prevention and read-only mode by default. Works with Claude D

Details

Author
JaviMaligno
Downloads
284
Categories
Database

- Execute read‑only SQL queries by default (write operations optional)
- Explore schemas, tables, views, and functions
- Describe table structure, indexes, and constraints
- Get EXPLAIN plans and table statistics
- SQL injection prevention and credential protection
- Browsable database structure as MCP resources

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name MCP Server for PostgreSQL
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Install via pipx install postgresql-mcp or pip install postgresql-mcp. Configure by setting environment variables like POSTGRES_HOST, POSTGRES_USER, POSTGRES_PASSWORD, and POSTGRES_DB (with POSTGRES_PORT, POSTGRES_SSLMODE, ALLOW_WRITE_OPERATIONS, QUERY_TIMEOUT, and MAX_ROWS as optional). Then add to a client using a command like claude mcp add postgres -s user -e ... -- postgresql-mcp.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "mcp server for postgresql": {
            "postgres": {
                "command": "postgresql-mcp",
                "env": {
                    "POSTGRES_HOST": "localhost",
                    "POSTGRES_PORT": "5432",
                    "POSTGRES_USER": "your-user",
                    "POSTGRES_PASSWORD": "your-password",
                    "POSTGRES_DB": "your-database"
                }
            }
        }
    }
}

McpServers

{
    "postgres": {
        "command": "postgresql-mcp",
        "env": {
            "POSTGRES_HOST": "localhost",
            "POSTGRES_PORT": "5432",
            "POSTGRES_USER": "your-user",
            "POSTGRES_PASSWORD": "your-password",
            "POSTGRES_DB": "your-database"
        }
    }
}

PostgreSQL MCP Server

<!-- mcp-name: io.github.JaviMaligno/postgresql -->

CI
PyPI version
Python 3.10+
License: MIT

MCP server for PostgreSQL database operations. Works with Claude Code, Claude Desktop, and any MCP-compatible client.

Features

- Query Execution: Execute SQL queries with read-only protection by default
- Schema Exploration: List schemas, tables, views, and functions
- Table Analysis: Describe structure, indexes, constraints, and statistics
- Performance Tools: EXPLAIN queries and analyze table health
- Security First: SQL injection prevention, credential protection, read-only by default
- MCP Prompts: Guided workflows for exploration, query building, and documentation
- MCP Resources: Browsable database structure as markdown

Quick Start

# Install
pipx install postgresql-mcp

Configure Claude Code

claude mcp add postgres -s user \ -e POSTGRES_HOST=localhost \ -e POSTGRES_USER=your_user \ -e POSTGRES_PASSWORD=your_password \ -e POSTGRES_DB=your_database \ -- postgresql-mcp

Full Installation Guide - Includes database permissions setup, remote connections, and troubleshooting.

Available Tools (14 total)

Query Execution

| Tool | Description | |------|-------------| | query | Execute read-only SQL queries against the database | | execute | Execute write operations (INSERT/UPDATE/DELETE) when enabled | | explain_query | Get EXPLAIN plan for query optimization |

Schema Exploration

| Tool | Description | |------|-------------| | list_schemas | List all schemas in the database | | list_tables | List tables in a specific schema | | describe_table | Get table structure (columns, types, constraints) | | list_views | List views in a schema | | describe_view | Get view definition and columns | | list_functions | List functions and procedures |

Performance & Analysis

| Tool | Description | |------|-------------| | table_stats | Get table statistics (row count, size, bloat) | | list_indexes | List indexes for a table | | list_constraints | List constraints (PK, FK, UNIQUE, CHECK) |

Database Info

| Tool | Description | |------|-------------| | get_database_info | Get database version and connection info | | search_columns | Search for columns by name across all tables |

MCP Prompts

Guided workflows that help Claude assist you effectively:

| Prompt | Description |
|--------|-------------|
| explore_database | Comprehensive database exploration and overview |
| query_builder | Help building efficient queries for a table |
| performance_analysis | Analyze table performance and suggest optimizations |
| data_dictionary | Generate documentation for a schema |

MCP Resources

Browsable database structure:

| Resource URI | Description |
|--------------|-------------|
| postgres://schemas | List all schemas |
| postgres://schemas/{schema}/tables | Tables in a schema |
| postgres://schemas/{schema}/tables/{table} | Table details |
| postgres://database | Database connection info |

Example Usage

Once configured, ask Claude to:

Schema Exploration:
- "List all tables in the public schema"
- "Describe the users table structure"
- "What views are available?"

Querying:
- "Show me 10 rows from the orders table"
- "Find all customers who placed orders last week"
- "Count records grouped by status"

Performance Analysis:
- "What indexes exist on the orders table?"
- "Analyze the performance of the users table"
- "Explain this query: SELECT FROM orders WHERE created_at > '2024-01-01'"

Documentation:
- "Generate a data dictionary for this database"
- "What columns contain 'email' in their name?"

Security

This MCP server implements multiple security layers:

Read-Only by Default

Write operations (INSERT, UPDATE, DELETE) are blocked unless explicitly enabled via ALLOW_WRITE_OPERATIONS=true.

SQL Injection Prevention

- All queries are validated before execution - Dangerous operations (DROP DATABASE, etc.) are always blocked - Multiple statements are not allowed - SQL comments are blocked

Credential Protection

- Passwords stored using Pydantic's SecretStr - Credentials never appear in logs or error messages

Query Limits

- Results limited by MAX_ROWS (default: 1000) - Query timeout configurable via QUERY_TIMEOUT

Installation Options

From PyPI (Recommended)

pipx install postgresql-mcp

or

pip install postgresql-mcp

From Source

git clone https://github.com/JaviMaligno/postgres_mcp.git
cd postgres_mcp
uv sync

Configuration

Claude Code CLI (Recommended)

claude mcp add postgres -s user \
  -e POSTGRES_HOST=localhost \
  -e POSTGRES_PORT=5432 \
  -e POSTGRES_USER=your_user \
  -e POSTGRES_PASSWORD=your_password \
  -e POSTGRES_DB=your_database \
  -- postgresql-mcp

Cursor IDE

Add to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "postgres": {
      "command": "postgresql-mcp",
      "env": {
        "POSTGRES_HOST": "localhost",
        "POSTGRES_PORT": "5432",
        "POSTGRES_USER": "your_user",
        "POSTGRES_PASSWORD": "your_password",
        "POSTGRES_DB": "your_database"
      }
    }
  }
}

Environment Variables

| Variable | Required | Default | Description |
|----------|----------|---------|-------------|
| POSTGRES_HOST | Yes | localhost | Database host |
| POSTGRES_PORT | No | 5432 | Database port |
| POSTGRES_USER | Yes | postgres | Database user |
| POSTGRES_PASSWORD | Yes | - | Database password |
| POSTGRES_DB | Yes | postgres | Database name |
| POSTGRES_SSLMODE | No | prefer | SSL mode |
| ALLOW_WRITE_OPERATIONS | No | false | Enable write operations |
| QUERY_TIMEOUT | No | 30 | Query timeout (seconds) |
| MAX_ROWS | No | 1000 | Maximum rows returned |

Development

Requirements

- Python 3.10+
- uv for dependency management
- PostgreSQL for integration tests

Setup

git clone https://github.com/JaviMaligno/postgres_mcp.git
cd postgres_mcp
uv sync

Running Tests

# Unit tests (no database required)
uv run pytest tests/test_security.py tests/test_settings.py tests/test_models.py tests/test_utils.py -v

Integration tests (requires PostgreSQL)

docker-compose up -d export POSTGRES_HOST=localhost POSTGRES_PORT=5433 POSTGRES_USER=testuser POSTGRES_PASSWORD=testpass POSTGRES_DB=testdb uv run pytest tests/test_integration.py -v

All tests

docker-compose up -d && uv run pytest -v

All tests (requires PostgreSQL)

uv run pytest -v --cov=postgres_mcp

CI/CD Pipeline

The project uses GitHub Actions:

- Every push to main: Runs tests on Python 3.10, 3.11, 3.12
- Pull requests: Full test suite
- Tags (v
): Tests, builds, and publishes to PyPI

To release a new version:

# 1. Update version in postgres_mcp/__version__.py

2. Commit and push

git add -A && git commit -m "release: v0.2.0" git push origin main

3. Create and push tag (triggers PyPI publish)

git tag v0.2.0 git push origin v0.2.0

Troubleshooting

Connection Issues

# Verify PostgreSQL is running
pg_isready -h localhost -p 5432

Test connection with psql

psql -h localhost -U your_user -d your_database

Permission Denied

Ensure your database user has SELECT permissions:

GRANT SELECT ON ALL TABLES IN SCHEMA public TO your_user;

MCP Server Not Connecting

# Check server status
claude mcp get postgres

Test server directly

postgresql-mcp # Should wait for MCP messages

Links

- PyPI Package
- Installation Guide
- GitHub Repository

License

MIT

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