Navigation
PostgreSQL MCP Server: Seamless Failover & Real-Time Replication - MCP Implementation

PostgreSQL MCP Server: Seamless Failover & Real-Time Replication

Ensure seamless failover and real-time replication with PostgreSQL MCP Server – your mission-critical data's mirrored guardian for zero-downtime resilience.

Databases
4.1(31 reviews)
46 saves
21 comments

Users create an average of 12 projects per month with this tool

About PostgreSQL MCP Server

What is PostgreSQL MCP Server: Seamless Failover & Real-Time Replication?

PostgreSQL MCP Server is a specialized tool designed to simplify PostgreSQL database management. It focuses on two core features: seamless failover mechanisms and real-time replication. Whether you’re running a small dev setup or a high-traffic production environment, this server helps maintain uptime, optimize performance, and ensure data consistency across nodes. Think of it as your reliability partner—automating the heavy lifting of replication setup and failover orchestration while providing deep insights into your database health.

How to Use PostgreSQL MCP Server: Seamless Failover & Real-Time Replication?

Getting started is straightforward:

  1. Install dependencies via npm install and build the server with npm run build
  2. Configure your MCP settings file with the server path
  3. Run commands like analyze_database to audit performance or debug_database to troubleshoot replication delays

Here’s a quick example for setting up replication monitoring:
POST /api/replication-status {"node_id": "primary-01"}

PostgreSQL MCP Server Features

Key Features of PostgreSQL MCP Server

  • Failover Automation: Automatically switches traffic to standby nodes when primary servers fail
  • Real-Time Replication: Synchronizes data across nodes with millisecond latency tracking
  • Diagnostic Analysis: Generates detailed reports on replication lag, query bottlenecks, and storage efficiency
  • Security Enforcement: Enforces SSL encryption for replication streams and audit logs

Use Cases of PostgreSQL MCP Server

Common scenarios include:

  • Scaling e-commerce platforms during peak traffic by load-balancing read queries across replicas
  • Preventing data loss in distributed systems through multi-region replication setups
  • Automating disaster recovery tests by simulating node failures without manual intervention
  • Optimizing cloud costs by dynamically adjusting replica counts based on performance metrics

PostgreSQL MCP Server FAQ

FAQ from PostgreSQL MCP Server

Does the server support multi-master replication?

Yes, through our conflict resolution API which prioritizes transactions based on timestamp and node hierarchy

How is failover triggered?

Monitors continuously check heartbeat signals. If a primary node misses 3 consecutive checks (configurable), the failover is initiated

Can I customize replication lag thresholds?

Absolutely. Set warning thresholds in milliseconds per node group via the config/replication-policy.yaml file

Content

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
  1. Query Safety
* Validates SQL queries
* Prevents dangerous operations
* Implements query timeouts
* Logs all operations
  1. 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.

Related MCP Servers & Clients