Cloud SQL for SQL Server MCP Server

The Cloud SQL for SQL Server Model Context Protocol (MCP) Server gives AI-powered development tools the ability to work with your Google Cloud SQL for SQL Server databases. It supports connecting to instances, exploring schemas, and running queries.

Features

An editor configured to use the Cloud SQL for SQL Server MCP server can use its AI capabilities to help you:

Query Data - Execute SQL queries
Explore Schema - List tables and view schema details

For Cloud SQL infrastructure management, search the MCP store for the Cloud SQL for SQL Server Admin MCP Server.

Prerequisites

Node.js installed.
A Google Cloud project with the Cloud SQL Admin API enabled.
Ensure Application Default Credentials are available in your environment.
IAM Permissions:
- Cloud SQL Client (roles/cloudsql.client)

Note: If your instance uses private IPs, you must run the MCP server in the same Virtual Private Cloud (VPC) network.

Install & Configuration

In the Antigravity MCP Store, click the "Install" button.

[!NOTE] On first use, the installation process automatically downloads and uses MCP Toolbox >=0.26.0. To update MCP Toolbox, use: npm i -g @toolbox-sdk/server@latest To always run the latest version, update the MCP server configuration to use: npx -y @toolbox-sdk/server@latest --prebuilt cloud-sql-mssql.
Add the required inputs for your instance in the configuration pop-up, then click "Save". You can update this configuration at any time in the "Configure" tab.

You'll now be able to see all enabled tools in the "Tools" tab.

[!NOTE] If you encounter issues with Windows Defender blocking the execution, you may need to configure an allowlist. See Configure exclusions for Microsoft Defender Antivirus for more details.

Usage

Once configured, the MCP server will automatically provide Cloud SQL for SQL Server capabilities to your AI assistant. You can:

"Select top 10 rows from the customers table."
"List all tables in the database."

Server Capabilities

The Cloud SQL for SQL Server MCP server provides the following tools:

Tool Name	Description
`execute_sql`	Use this tool to execute SQL.
`list_tables`	Lists detailed schema information for user-created tables.

Custom MCP Server Configuration

The MCP server is configured using environment variables.

bash

export CLOUD_SQL_MSSQL_PROJECT="<your-gcp-project-id>"
export CLOUD_SQL_MSSQL_REGION="<your-cloud-sql-region>"
export CLOUD_SQL_MSSQL_INSTANCE="<your-cloud-sql-instance-id>"
export CLOUD_SQL_MSSQL_DATABASE="<your-database-name>"
export CLOUD_SQL_MSSQL_USER="<your-database-user>"  # Optional
export CLOUD_SQL_MSSQL_PASSWORD="<your-database-password>"  # Optional
export CLOUD_SQL_MSSQL_IP_TYPE="PUBLIC"  # Optional: `PUBLIC`, `PRIVATE`, `PSC`. Defaults to `PUBLIC`.

Add the following configuration to your MCP client (e.g., settings.json for Gemini CLI, mcp_config.json for Antigravity):

json

{
  "mcpServers": {
    "cloud-sql-mssql": {
      "command": "npx",
      "args": ["-y", "@toolbox-sdk/server", "--prebuilt", "cloud-sql-mssql", "--stdio"],
      "env": {
        "CLOUD_SQL_MSSQL_PROJECT": "your-project-id",
        "CLOUD_SQL_MSSQL_REGION": "your-region",
        "CLOUD_SQL_MSSQL_INSTANCE": "your-instance-id",
        "CLOUD_SQL_MSSQL_DATABASE": "your-database-name",
        "CLOUD_SQL_MSSQL_USER": "your-username",
        "CLOUD_SQL_MSSQL_PASSWORD": "your-password"
      }
    }
  }
}

Documentation

For more information, visit the Cloud SQL for SQL Server documentation.