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Postgres MCP
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Postgres MCP

Postgres MCP Pro is an open - source MCP server that provides comprehensive support for AI agents in database index tuning, execution plan analysis, health checks, and secure SQL execution.
DatabaseDeveloper tools#Database tuning#Performance analysis#AI assistance#PostgreSQL.Python
3 points
173

What is Postgres MCP Pro?

Postgres MCP Pro is an open - source Model Context Protocol (MCP) server designed to support you in using AI assistants throughout the entire process from development, testing, deployment to production maintenance. It not only encapsulates database connections but also provides various advanced functions such as health checks, index optimization, query plan analysis, and secure SQL execution.

How to use Postgres MCP Pro?

Through simple configuration and commands, you can quickly set up Postgres MCP Pro and integrate it with your AI assistant to obtain database performance optimization suggestions, health status reports, and more efficient SQL execution.

Applicable scenarios

Postgres MCP Pro is suitable for enterprise - level applications that need to improve database performance, AI - driven development processes, and scenarios that require frequent adjustment and optimization of SQL queries.

Main features

Database health checkAnalyze index health, connection utilization, cache hit rate, vacuum status, sequence limits, replication delay, etc., and identify potential problems.
Index tuningExplore thousands of possible index combinations to find the most suitable solution, and optimize using industrial - grade algorithms.
Query plan analysisVerify performance through EXPLAIN plans and simulate the effect after adding hypothetical indexes.
Schema intelligenceAutomatically generate semantically relevant SQL based on a detailed understanding of the database schema.
Safe SQL executionConfigure access control, support read - only mode and secure SQL parsing, suitable for development and production environments.

Advantages and limitations

Advantages
Industrial - grade index tuning algorithm
Comprehensive database health check
Support for multiple transmission methods (stdio and SSE)
Secure SQL execution mechanism
Limitations
Requires installation of additional extensions (such as pg_statements and hypopg)
May be slow in handling complex workloads

How to use

Install Postgres MCP Pro
Install Postgres MCP Pro via Docker or Python.
Configure the AI assistant
Edit the configuration file of the AI assistant and add the Postgres MCP Pro server address.
Start the service
Run the Postgres MCP Pro server and ensure it works properly.

Usage examples

Check database health statusAsk the AI assistant, for example: 'Is my database healthy?'
Analyze slow queries and recommend optimization solutionsAsk the AI assistant, for example: 'Which queries are running slowly? How can I optimize them?'
Generate optimal index suggestionsAsk the AI assistant, for example: 'Help me analyze the workload and recommend the best indexes'

Frequently Asked Questions

How is Postgres MCP Pro different from other Postgres MCP servers?
Why do we need an MCP tool instead of relying only on LLM?
How to test Postgres MCP Pro?

Related resources

Official documentation
GitHub repository for Postgres MCP Pro.
Demo video
Show the application of Postgres MCP Pro in real - world projects.
Community support
Join our Discord server for help and support.
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "postgres": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "DATABASE_URI",
        "crystaldba/postgres-mcp",
        "--access-mode=unrestricted"
      ],
      "env": {
        "DATABASE_URI": "postgresql://username:password@localhost:5432/dbname"
      }
    }
  }
}

{
  "mcpServers": {
    "postgres": {
      "command": "postgres-mcp",
      "args": [
        "--access-mode=unrestricted"
      ],
      "env": {
        "DATABASE_URI": "postgresql://username:password@localhost:5432/dbname"
      }
    }
  }
}

{
  "mcpServers": {
    "postgres": {
      "command": "uv",
      "args": [
        "run",
        "postgres-mcp",
        "--access-mode=unrestricted"
      ],
      "env": {
        "DATABASE_URI": "postgresql://username:password@localhost:5432/dbname"
      }
    }
  }
}

{
    "mcpServers": {
        "postgres": {
            "type": "sse",
            "url": "http://localhost:8000/sse"
        }
    }
}

{
    "mcpServers": {
        "postgres": {
            "type": "sse",
            "serverUrl": "http://localhost:8000/sse"
        }
    }
}
Note: Your key is sensitive information, do not share it with anyone.
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