A

Azure Postgresql MCP

Azure Database for PostgreSQL MCP Server is a server based on the Model Context Protocol (MCP) standard that allows AI models to interact with Azure PostgreSQL databases and provides standardized data access capabilities.
2.5 points
34

What is the PostgreSQL MCP Server?

This is a middleware service based on the Model Context Protocol (MCP) standard that allows AI applications to securely access data in Azure PostgreSQL databases in a standardized way. It acts as a bridge between AI models and databases, converting natural language queries into database operations.

How to use the PostgreSQL MCP Server?

Simply configure the server connection information in supported AI tools (such as Claude or VS Code) to interact with the database through natural language. The system automatically converts your queries into secure database operations.

Use cases

Suitable for scenarios where AI assistants need to access enterprise database data, such as customer service automation, data analysis assistants, business report generation, etc.

Main features

Database explorationView all databases and table structures on the server
Data queryExecute secure read-only queries to obtain the required data
Data modificationSecurely insert, update, or delete records
Schema managementCreate or delete table structures
Enterprise-level authenticationSupports Microsoft Entra authentication (recommended)

Advantages and limitations

Advantages
Standardized interface: Follows the MCP protocol and is compatible with multiple AI tools
Secure access: Supports enterprise-level authentication methods
No coding required: Operate the database through natural language
Flexible deployment: Can run in local or cloud environments
Limitations
Preview stage: Some functions may be unstable
Performance limitations: Complex queries may need optimization
Permission control: Depends on the database's own permission system

How to use

Prepare the environment
Install Python 3.10+ and create a virtual environment
Install dependencies
Install the necessary Python packages in the virtual environment
Configure AI tools
Add MCP server configuration in Claude Desktop or VS Code
Connect to the database
Set the database connection parameters (PGHOST, PGUSER, etc.)

Usage examples

Sales data analysisLet the AI assistant analyze quarterly sales data
Customer record managementAdd new customer records through natural language

Frequently Asked Questions

What permissions are required to use this service?
Which PostgreSQL versions are supported?
How to ensure data security?

Related resources

MCP Protocol official website
Official documentation of the Model Context Protocol
Azure PostgreSQL Quick Start
Guide to creating an Azure PostgreSQL server
GitHub repository
Project source code and issue tracking
Installation
Copy the following command to your Client for configuration
{
        "mcpServers": {
            "azure-postgresql-mcp": {
                "command": "<path to the virtual environment>\\azure-postgresql-mcp-venv\\Scripts\\python",
                "args": [
                    "<path to azure_postgresql_mcp.py file>\\azure_postgresql_mcp.py"
                ],
                "env": {
                    "PGHOST": "<Fully qualified name of your Azure Database for PostgreSQL instance>",
                    "PGUSER": "<Your Azure Database for PostgreSQL username>",
                    "PGPASSWORD": "<Your password>",
                    "PGDATABASE": "<Your database name>"
                }
            }        
        }
    }
Note: Your key is sensitive information, do not share it with anyone.
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