PostgreSQL MCP Server

PostgreSQL MCP Server

Facilitates management and optimization of PostgreSQL databases, offering analysis, setup guidance, and debugging, while ensuring secure and efficient database operations.

nahmanmate

Data & App Analysis
Visit Server

Tools

analyze_database

Analyze PostgreSQL database configuration and performance

get_setup_instructions

Get step-by-step PostgreSQL setup instructions

debug_database

Debug common PostgreSQL issues

README

PostgreSQL MCP Server

A Model Context Protocol (MCP) server that provides PostgreSQL database management capabilities. This server assists with analyzing existing PostgreSQL setups, providing implementation guidance, and debugging database issues.

Features

1. Database Analysis (analyze_database)

Analyzes PostgreSQL database configuration and performance metrics:

  • Configuration analysis
  • Performance metrics
  • Security assessment
  • Recommendations for optimization
// Example usage
{
  "connectionString": "postgresql://user:password@localhost:5432/dbname",
  "analysisType": "performance" // Optional: "configuration" | "performance" | "security"
}

2. Setup Instructions (get_setup_instructions)

Provides step-by-step PostgreSQL installation and configuration guidance:

  • Platform-specific installation steps
  • Configuration recommendations
  • Security best practices
  • Post-installation tasks
// Example usage
{
  "platform": "linux", // Required: "linux" | "macos" | "windows"
  "version": "15", // Optional: PostgreSQL version
  "useCase": "production" // Optional: "development" | "production"
}

3. Database Debugging (debug_database)

Debug common PostgreSQL issues:

  • Connection problems
  • Performance bottlenecks
  • Lock conflicts
  • Replication status
// Example usage
{
  "connectionString": "postgresql://user:password@localhost:5432/dbname",
  "issue": "performance", // Required: "connection" | "performance" | "locks" | "replication"
  "logLevel": "debug" // Optional: "info" | "debug" | "trace"
}

Prerequisites

  • Node.js >= 18.0.0
  • PostgreSQL server (for target database operations)
  • Network access to target PostgreSQL instances

Installation

  1. Clone the repository
  2. Install dependencies:
    npm install
    
  3. Build the server:
    npm run build
    
  4. Add to MCP settings file:
    {
      "mcpServers": {
        "postgresql-mcp": {
          "command": "node",
          "args": ["/path/to/postgresql-mcp-server/build/index.js"],
          "disabled": false,
          "alwaysAllow": []
        }
      }
    }
    

Development

  • npm run dev - Start development server with hot reload
  • npm run lint - Run ESLint
  • npm test - Run tests

Security Considerations

  1. Connection Security

    • Uses connection pooling
    • Implements connection timeouts
    • Validates connection strings
    • Supports SSL/TLS connections
  2. Query Safety

    • Validates SQL queries
    • Prevents dangerous operations
    • Implements query timeouts
    • Logs all operations
  3. Authentication

    • Supports multiple authentication methods
    • Implements role-based access control
    • Enforces password policies
    • Manages connection credentials securely

Best Practices

  1. Always use secure connection strings with proper credentials
  2. Follow production security recommendations for sensitive environments
  3. Regularly monitor and analyze database performance
  4. Keep PostgreSQL version up to date
  5. Implement proper backup strategies
  6. Use connection pooling for better resource management
  7. Implement proper error handling and logging
  8. Regular security audits and updates

Error Handling

The server implements comprehensive error handling:

  • Connection failures
  • Query timeouts
  • Authentication errors
  • Permission issues
  • Resource constraints

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Commit your changes
  4. Push to the branch
  5. Create a Pull Request

License

This project is licensed under the AGPLv3 License - see LICENSE file for details.

Recommended Servers

VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
AIO-MCP Server

AIO-MCP Server

🚀 All-in-one MCP server with AI search, RAG, and multi-service integrations (GitLab/Jira/Confluence/YouTube) for AI-enhanced development workflows. Folk from

Featured
Local
Hyperbrowser MCP Server

Hyperbrowser MCP Server

Welcome to Hyperbrowser, the Internet for AI. Hyperbrowser is the next-generation platform empowering AI agents and enabling effortless, scalable browser automation. Built specifically for AI developers, it eliminates the headaches of local infrastructure and performance bottlenecks, allowing you to

Featured
Local
BigQuery

BigQuery

This is a server that lets your LLMs (like Claude) talk directly to your BigQuery data! Think of it as a friendly translator that sits between your AI assistant and your database, making sure they can chat securely and efficiently.

Featured
Perplexity Chat MCP Server

Perplexity Chat MCP Server

MCP Server for the Perplexity API.

Featured
Web Research Server

Web Research Server

A Model Context Protocol server that enables Claude to perform web research by integrating Google search, extracting webpage content, and capturing screenshots.

Featured
MySQL Server

MySQL Server

Allows AI assistants to list tables, read data, and execute SQL queries through a controlled interface, making database exploration and analysis safer and more structured.

Featured
Aindreyway Codex Keeper

Aindreyway Codex Keeper

Serves as a guardian of development knowledge, providing AI assistants with curated access to latest documentation and best practices.

Featured
Etherscan Tools

Etherscan Tools

Facilitates interaction with Ethereum blockchain data via Etherscan's API, providing real-time access to balances, transactions, token transfers, contract ABIs, gas prices, and ENS name resolutions.

Featured
Perplexity Deep Research

Perplexity Deep Research

A server that allows AI assistants to perform web searches using Perplexity's sonar-deep-research model with citation support.

Featured