Cloud SQL for MySQL Admin using MCP
This guide covers how to use MCP Toolbox for Databases to expose your developer assistant tools to create and manage Cloud SQL for MySQL instance, database and users:
- Cursor
- Windsurf (Codium)
- Visual Studio Code (Copilot)
- Cline (VS Code extension)
- Claude desktop
- Claude code
- Gemini CLI
- Gemini Code Assist
Before you begin
In the Google Cloud console, on the project selector page, select or create a Google Cloud project.
Make sure that billing is enabled for your Google Cloud project.
Grant the necessary IAM roles to the user that will be running the MCP server. The tools available will depend on the roles granted:
roles/cloudsql.viewer
: Provides read-only access to resources.get_instance
list_instances
list_databases
wait_for_operation
roles/cloudsql.editor
: Provides permissions to manage existing resources.- All
viewer
tools create_database
- All
roles/cloudsql.admin
: Provides full control over all resources.- All
editor
andviewer
tools create_instance
create_user
- All
Install MCP Toolbox
Download the latest version of Toolbox as a binary. Select the correct binary corresponding to your OS and CPU architecture. You are required to use Toolbox version V0.15.0+:
curl -O https://storage.googleapis.com/genai-toolbox/v0.15.0/linux/amd64/toolbox
curl -O https://storage.googleapis.com/genai-toolbox/v0.15.0/darwin/arm64/toolbox
curl -O https://storage.googleapis.com/genai-toolbox/v0.15.0/darwin/amd64/toolbox
curl -O https://storage.googleapis.com/genai-toolbox/v0.15.0/windows/amd64/toolbox.exe
Make the binary executable:
chmod +x toolbox
Verify the installation:
./toolbox --version
Configure your MCP Client
Install Claude Code.
Create a
.mcp.json
file in your project root if it doesn’t exist.Add the following configuration and save:
{ "mcpServers": { "cloud-sql-mysql-admin": { "command": "./PATH/TO/toolbox", "args": ["--prebuilt","cloud-sql-mysql-admin","--stdio"], "env": { } } } }
Restart Claude code to apply the new configuration.
Open Claude desktop and navigate to Settings.
Under the Developer tab, tap Edit Config to open the configuration file.
Add the following configuration and save:
{ "mcpServers": { "cloud-sql-mysql-admin": { "command": "./PATH/TO/toolbox", "args": ["--prebuilt","cloud-sql-mysql-admin","--stdio"], "env": { } } } }
Restart Claude desktop.
From the new chat screen, you should see a hammer (MCP) icon appear with the new MCP server available.
Open the Cline extension in VS Code and tap the MCP Servers icon.
Tap Configure MCP Servers to open the configuration file.
Add the following configuration and save:
{ "mcpServers": { "cloud-sql-mysql-admin": { "command": "./PATH/TO/toolbox", "args": ["--prebuilt","cloud-sql-mysql-admin","--stdio"], "env": { } } } }
You should see a green active status after the server is successfully connected.
Create a
.cursor
directory in your project root if it doesn’t exist.Create a
.cursor/mcp.json
file if it doesn’t exist and open it.Add the following configuration and save:
{ "mcpServers": { "cloud-sql-mysql-admin": { "command": "./PATH/TO/toolbox", "args": ["--prebuilt","cloud-sql-mysql-admin","--stdio"], "env": { } } } }
Cursor and navigate to Settings > Cursor Settings > MCP. You should see a green active status after the server is successfully connected.
Open VS Code and create a
.vscode
directory in your project root if it doesn’t exist.Create a
.vscode/mcp.json
file if it doesn’t exist and open it.Add the following configuration and save:
{ "servers": { "cloud-sql-mysql-admin": { "command": "./PATH/TO/toolbox", "args": ["--prebuilt","cloud-sql-mysql-admin","--stdio"], "env": { } } } }
Open Windsurf and navigate to the Cascade assistant.
Tap on the hammer (MCP) icon, then Configure to open the configuration file.
Add the following configuration and save:
{ "mcpServers": { "cloud-sql-mysql-admin": { "command": "./PATH/TO/toolbox", "args": ["--prebuilt","cloud-sql-mysql-admin","--stdio"], "env": { } } } }
Install the Gemini CLI.
In your working directory, create a folder named
.gemini
. Within it, create asettings.json
file.Add the following configuration and save:
{ "mcpServers": { "cloud-sql-mysql-admin": { "command": "./PATH/TO/toolbox", "args": ["--prebuilt","cloud-sql-mysql-admin","--stdio"], "env": { } } } }
Install the Gemini Code Assist extension in Visual Studio Code.
Enable Agent Mode in Gemini Code Assist chat.
In your working directory, create a folder named
.gemini
. Within it, create asettings.json
file.Add the following configuration and save:
{ "mcpServers": { "cloud-sql-mysql-admin": { "command": "./PATH/TO/toolbox", "args": ["--prebuilt","cloud-sql-mysql-admin","--stdio"], "env": { } } } }
Use Tools
Your AI tool is now connected to Cloud SQL for MySQL using MCP.
The cloud-sql-mysql-admin
server provides tools for managing your Cloud SQL instances and interacting with your database:
- create_instance: Creates a new Cloud SQL for MySQL instance.
- get_instance: Gets information about a Cloud SQL instance.
- list_instances: Lists Cloud SQL instances in a project.
- create_database: Creates a new database in a Cloud SQL instance.
- list_databases: Lists all databases for a Cloud SQL instance.
- create_user: Creates a new user in a Cloud SQL instance.
- wait_for_operation: Waits for a Cloud SQL operation to complete.
Note
Prebuilt tools are pre-1.0, so expect some tool changes between versions. LLMs will adapt to the tools available, so this shouldn’t affect most users.