PostgreSQL

You can deploy and use an MCP server to analyze PostgreSQL setups, get tailored setup guidance, and debug common database issues. This MCP exposes practical capabilities to help you optimize configurations, improve security, and resolve performance or connectivity challenges across PostgreSQL installations.

How to use

When you connect an MCP client to the PostgreSQL MCP Server, you gain access to three core capabilities. First, you can analyze a PostgreSQL database to review configuration, performance, and security, with targeted optimization recommendations. Second, you can request concrete setup instructions to install and configure PostgreSQL on your platform, including security best practices. Third, you can debug common PostgreSQL issues ranging from connections to replication status to identify bottlenecks and conflicts. Use these tools to guide changes in your environment and verify improvements over time.

How to install

Prerequisites you need before installing are a supported runtime and the required database server:

• Node.js version >= 18.0.0
• PostgreSQL server for target database operations
• Network access to target PostgreSQL instances Now follow these concrete steps to install and add the MCP server configuration.

# Install the MCP server client via Smithery (automatic install path)
npx -y @smithery/cli install @nahmanmate/postgresql-mcp-server --client claude

Manual installation steps to run the MCP server locally and configure it in your MCP settings.

# Step 1: Clone the project
# (Replace with your chosen directory)
git clone https://example.com/nahmanmate/postgresql-mcp-server.git

# Step 2: Install dependencies
npm install

# Step 3: Build the server
npm run build

# Step 4: Add to MCP settings file

{ "mcpServers": { "postgresql_mcp": { "command": "node", "args": ["/path/to/postgresql-mcp-server/build/index.js"], "disabled": false, "alwaysAllow": [] } } }

## Additional notes and configuration

The server supports a structured configuration for running as an MCP stdio server. If you are configuring locally, you will typically specify a runtime command and the path to the built entry script in your MCP settings. The example below shows how to wire the stdio server into your MCP environment.

## Configuration and security considerations

Security and reliability are central to PostgreSQL MCP Server usage. Ensure secure connections with SSL/TLS where possible, validate connection strings before use, and enable appropriate authentication methods and access controls. Use connection pooling to manage resources efficiently, and implement timeouts and logging for observability. Regularly review and test your backup and disaster recovery plans.

## Troubleshooting and debugging

If you encounter issues, start by checking connectivity to the target PostgreSQL instance, reviewing for authentication errors, and verifying replication status if you are using replication. Look for long-running queries or locks that could impact performance, and confirm that your configuration aligns with best practices for your platform and PostgreSQL version.

## Running evals and tests

When running evaluation workflows, you can execute the evals suite to validate MCP client interactions with the PostgreSQL MCP Server. Use the provided command pattern to run tests without rebuilding between test runs.

## Contributing

Contributions follow standard workflows: fork the project, create a feature branch, implement changes, push the branch, and open a pull request.

## Available tools

### analyze\_database

Analyzes PostgreSQL database configuration, performance metrics, security, and provides optimization recommendations.

### get\_setup\_instructions

Generates step-by-step installation and configuration guidance for PostgreSQL tailored to your platform and use case.

### debug\_database

Diagnoses common PostgreSQL issues such as connections, performance bottlenecks, locks, and replication status.