Ai Agents MCP Pg
A

Ai Agents MCP Pg

The PostgreSQL MCP Server is a model context protocol service that allows LLMs to interact with PostgreSQL databases, providing functions such as table creation, data CRUD operations, and schema inspection, and supports operations through the Claude desktop application.
2.5 points
4.6K

What is the PostgreSQL MCP Server?

The PostgreSQL MCP Server is middleware that bridges large language models (LLMs) and PostgreSQL databases. It allows AI assistants to directly interact with the database through a standard protocol, enabling data management tasks without writing complex code.

How to use the PostgreSQL MCP Server?

After configuring the connection through Claude Desktop, you can describe data operation requirements in natural language, and the AI will automatically convert them into database operation instructions. Typical workflow: 1) Configure the Docker container. 2) Connect to Claude. 3) Start the dialogue interaction.

Use cases

Suitable for scenarios that require rapid prototype development, data analysts to explore data, educational demonstrations of database operations, and any scenario where users want to manage databases through natural language.

Main features

Schema exploration
Automatically discover the database table structure and provide complete field type and relationship information.
Create, Read, Update, Delete (CRUD)
Support complete create, read, update, and delete operations, including batch data processing.
Transactional query
All queries are executed within a transaction to ensure data consistency. Read operations use read-only transactions by default.
Schema management
Dynamically create/delete table structures and support the definition of constraints such as primary keys and foreign keys.
Advantages
Operate the database without SQL knowledge
Reduce the usage threshold through natural language interaction
Cover complete database operations, from table structures to data
Simple and fast containerized deployment
Limitations
Manual SQL optimization is still required for complex queries
It is recommended to use native connections in performance-sensitive scenarios
Currently only supports PostgreSQL databases

How to use

Prepare the Docker environment
Ensure that Docker Desktop is installed and the service is started.
Start the PostgreSQL container
Create a database instance using the standard image.
Configure Claude Desktop
Modify the configuration file to add the MCP server connection information.

Usage examples

E-commerce data modeling
Create associated user, order, and payment table structures with complete foreign key constraints.
Sales data analysis
Query the details of orders that have been paid within a specific time period.

Frequently Asked Questions

How to reset the test database?
Does it support other databases such as MySQL?
What is the maximum amount of data it can handle?

Related resources

Official GitHub repository
Project source code and the latest version.
PostgreSQL documentation
Official database reference documentation.
Docker installation guide
Docker installation instructions for various platforms.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "postgres": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "mcp/postgres",
        "postgresql://username:password@host.docker.internal:5432/mydatabase"
      ]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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