Skip to main content

Azure Database for PostgreSQL MCP Server (Preview)

A Model Context Protocol (MCP) Server that let’s your AI models talk to data hosted in Azure Database for PostgreSQL according to the MCP standard!

By utilizing this server, you can effortlessly connect any AI application that supports MCP to your PostgreSQL flexible server (using either PostgreSQL password-based authentication or Microsoft Entra authentication methods), enabling you to provide your business data as meaningful context in a standardized and secure manner.

This server exposes the following tools, which can be invoked by MCP Clients in your AI agents, AI applications or tools like Claude Desktop and Visual Studio Code:

  • List all databases in your Azure Database for PostgreSQL flexible server instance.
  • List all tables in a database along with their schema information.
  • Execute read queries to retrieve data from your database.
  • Insert or update records in your database.
  • Create a new table or drop an existing table in your database.
  • List Azure Database for PostgreSQL flexible server configuration, including its PostgreSQL version, and compute and storage configurations. *
  • Retrieve specific server parameter values. *

*Available when using Microsoft Entra authentication method

Getting Started

Prerequisites

  • Python 3.10 or above
  • An Azure Database for PostgreSQL flexible server instance with a database containing your business data. For instructions on creating a flexible instance, setting up a database, and connecting to it, please refer to this quickstart guide.
  • An MCP Client application or tool such as Claude Desktop or Visual Studio Code.

Installation

  1. Clone the azure-postgresql-mcp repository:

    git clone https://github.com/Azure-Samples/azure-postgresql-mcp.git
    cd azure-postgresql-mcp
    

    Alternatively, you can download only the azure_postgresql_mcp.py file to your working folder.

  2. Create a virtual environment:

    Windows cmd.exe:

    python -m venv azure-postgresql-mcp-venv
    .\azure-postgresql-mcp-venv\Scripts\activate.bat
    

    Windows Powershell:

    python -m venv azure-postgresql-mcp-venv
    .\azure-postgresql-mcp-venv\Scripts\Activate.ps1
    

    Linux and MacOS:

    python -m venv azure-postgresql-mcp-venv
    source ./azure-postgresql-mcp-venv/bin/activate 
    
  3. Install the dependencies:

    pip install mcp[cli]
    pip install psycopg[binary]
    pip install azure-mgmt-postgresqlflexibleservers
    pip install azure-identity
    

Use the MCP Server with Claude Desktop

Watch the following demo video or read on for detailed instructions.

https://github.com/user-attachments/assets/d45da132-46f0-48ac-a1b9-3b1b1b8fd638

  1. In the Claude Desktop app, navigate to the “Settings” pane, select the “Developer” tab and click on “Edit Config”.

  2. Open the claude_desktop_config.json file and add the following configuration to the "mcpServers" section to configure the Azure Database for PostgreSQL MCP server:

    {
        "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: Here, we use password-based authentication to connect the MCP Server to Azure Database for PostgreSQL for testing purposes only. However, we recommend using Microsoft Entra authentication. Please refer to these instructions for guidance.

  3. Restart the Claude Desktop app.

  4. Upon restarting, you should see a hammer icon at the bottom of the input box. Selecting this icon will display the tools provided by the MCP Server.

You are now all set to start interacting with your data using natural language queries through Claude Desktop!

Use the MCP Server with Visual Studio Code

Watch the following demo video or read on for detailed instructions.

https://github.com/user-attachments/assets/12328e84-7045-4e3c-beab-4936d7a20c21

  1. In Visual Studio Code, navigate to “File”, select “Preferences” and then choose “Settings”.

  2. Search for “MCP” and select “Edit in settings.json”.

  3. Add the following configuration to the “mcp” section of the settings.json file:

    {
        "mcp": {
            "inputs": [],
            "servers": {
                "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: Here, we use password-based authentication to connect the MCP Server to Azure Database for PostgreSQL for testing purposes only. However, we recommend using Microsoft Entra authentication. Please refer to these instructions for guidance.

  4. Select the “Copilot” status icon in the upper-right corner to open the GitHub Copilot Chat window.

  5. Choose “Agent mode” from the dropdown at the bottom of the chat input box.

  6. Click on “Select Tools” (hammer icon) to view the Tools exposed by the MCP Server.

You are now all set to start interacting with your data using natural language queries through VS Code!

Using Microsoft Entra authentication method

To Microsoft Entra authentication method (recommended) to connect your MCP Server to Azure Database for PostgreSQL, update the MCP Server configuration in claude_desktop_config.json file (Claude Desktop) and settings.json (Visual Studio Code) with the following code:

"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 Microsoft Entra ID username or the resource name of your Azure resource with a system-assigned identity or the identity name>",
        "AZURE_USE_AAD": "True",
        "AZURE_SUBSCRIPTION_ID": "<Your Azure subscription ID>",
        "AZURE_RESOURCE_GROUP": "<Your Resource Group that contains the Azure Database for PostgreSQL instance>"
    }
}

Contributing

The Azure Database for PostgreSQL MCP Server is currently in Preview. As we continue to develop and enhance its features, we welcome all contributions! For more details, see the CONTRIBUTING.md file.

License

This project is licensed under the MIT License. For more details, see the LICENSE file.

Metadata

Release files for iflow-mcp_azure-samples-azure-postgresql-mcp 0.1.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for iflow-mcp_azure-samples-azure-postgresql-mcp 0.1.1
File Size Uploaded
iflow_mcp_azure_samples_azure_postgresql_mcp-0.1.1.tar.gz 8.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for iflow-mcp_azure-samples-azure-postgresql-mcp 0.1.1
File Interpreter ABI Platform
iflow_mcp_azure_samples_azure_postgresql_mcp-0.1.1-py3-none-any.whl Python 3 none any Details

Total release size: 18.6 kB

Release files / iflow_mcp_azure_samples_azure_postgresql_mcp-0.1.1.tar.gz

Download URL iflow_mcp_azure_samples_azure_postgresql_mcp-0.1.1.tar.gz
Size 8.0 kB
Tags Source
SHA-256 checksum
How to use checksums
9f435ef0ba8450324ff31145bbc4b789b2f7c8ee467f6e8f5796e40e396a8bb8
BLAKE2b-256 checksum
How to use checksums
3753f22f441940958bd7bd2f04b36f7c279e1ee9b8d5f5783ba818020a32a0af
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.10.0 {"installer":{"name":"uv","version":"0.10.0","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Debian GNU/Linux","version":"13","id":"trixie","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

Release files / iflow_mcp_azure_samples_azure_postgresql_mcp-0.1.1-py3-none-any.whl

Download URL iflow_mcp_azure_samples_azure_postgresql_mcp-0.1.1-py3-none-any.whl
Size 10.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
f660d244ea438577150476a43bb3bf71818bc3f4e2fe43c9f4a05217e6c2ce32
BLAKE2b-256 checksum
How to use checksums
3e0046c4a315cc35d814ebc5c1c0d54165f071e0851457939870fd03855ad2dc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.10.0 {"installer":{"name":"uv","version":"0.10.0","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Debian GNU/Linux","version":"13","id":"trixie","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

Release history Release notifications | RSS feed

This release

0.1.1 This release

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page