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79 lines
3.5 KiB
Markdown
79 lines
3.5 KiB
Markdown
# Cloud SQL for SQL Server Admin MCP Server
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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.
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## Features
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An editor configured to use the Cloud SQL for SQL Server MCP server can use its AI capabilities to help you:
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- **Provision & Manage Infrastructure** - Create and manage Cloud SQL instances and users
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To connect to the database to explore and query data, search the MCP store for the Cloud SQL for SQL Server MCP Server.
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## Prerequisites
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* [Node.js](https://nodejs.org/) installed.
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* A Google Cloud project with the **Cloud SQL Admin API** enabled.
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* Ensure [Application Default Credentials](https://cloud.google.com/docs/authentication/gcloud) are available in your environment.
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* IAM Permissions:
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* Cloud SQL Viewer (`roles/cloudsql.viewer`)
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* Cloud SQL Admin (`roles/cloudsql.admin`)
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## Install & Configuration
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In the Antigravity MCP Store, click the "Install" button.
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> [!NOTE]
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> On first use, the installation process automatically downloads and uses
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> [MCP Toolbox](https://www.npmjs.com/package/@toolbox-sdk/server)
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> `>=0.26.0`. To update MCP Toolbox, use:
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> ```npm i -g @toolbox-sdk/server@latest```
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> To always run the latest version, update the MCP server configuration to use:
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> ```npx -y @toolbox-sdk/server@latest --prebuilt cloud-sql-mssql-admin```.
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You'll now be able to see all enabled tools in the "Tools" tab.
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> [!NOTE]
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> If you encounter issues with Windows Defender blocking the execution, you may need to configure an allowlist. See [Configure exclusions for Microsoft Defender Antivirus](https://learn.microsoft.com/en-us/microsoft-365/security/defender-endpoint/configure-exclusions-microsoft-defender-antivirus?view=o365-worldwide) for more details.
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## Usage
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Once configured, the MCP server will automatically provide Cloud SQL for SQL Server capabilities to your AI assistant. You can:
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* "Create a new Cloud SQL for SQL Server instance named 'e-commerce-prod' in the 'my-gcp-project' project."
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* "Create a new user named 'analyst' with read access to all tables."
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## Server Capabilities
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The Cloud SQL for SQL Server MCP server provides the following tools:
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| Tool Name | Description |
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|:---------------------|:-------------------------------------------------------|
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| `create_instance` | Create an instance (PRIMARY, READ-POOL, or SECONDARY). |
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| `create_user` | Create BUILT-IN or IAM-based users for an instance. |
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| `get_instance` | Get details about an instance. |
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| `get_user` | Get details about a user in an instance. |
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| `list_instances` | List instances in a given project and location. |
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| `list_users` | List users in a given project and location. |
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| `wait_for_operation` | Poll the operations API until the operation is done. |
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## Custom MCP Server Configuration
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Add the following configuration to your MCP client (e.g., `settings.json` for Gemini CLI, `mcp_config.json` for Antigravity):
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```json
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{
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"mcpServers": {
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"cloud-sql-sqlserver-admin": {
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"command": "npx",
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"args": ["-y", "@toolbox-sdk/server", "--prebuilt", "cloud-sql-mssql-admin", "--stdio"]
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}
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}
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}
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```
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## Documentation
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For more information, visit the [Cloud SQL for SQL Server documentation](https://cloud.google.com/sql/docs/sqlserver).
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