Catalog›Plugins›Databases›cloud-sql-sqlserverCScloud-sql-sqlserverConnect to Cloud SQL for SQL Server Open site Open in the app JSON README (API)READMELoading documentation…# Cloud SQL for SQL Server > [!NOTE] > This extension is currently in beta (pre-v1.0), and may see breaking changes until the first stable release (v1.0). This repository packages [MCP Toolbox](https://github.com/googleapis/mcp-toolbox)'s prebuilt `cloud-sql-mssql` server as a plugin/extension to interact with [Cloud SQL for SQL Server](https://cloud.google.com/sql/docs/sqlserver) instances. It can be used with various AI agents, including [Antigravity](https://antigravity.google/), [Claude Code](https://claude.com/product/claude-code) and [Codex](https://developers.openai.com/codex), to manage your databases, execute queries, explore schemas, and troubleshoot issues using natural language prompts. > [!IMPORTANT] > **We Want Your Feedback!** > Please share your thoughts with us by filling out our feedback [form][form]. > Your input is invaluable and helps us improve the project for everyone. [form]: https://docs.google.com/forms/d/e/1FAIpQLSfEGmLR46iipyNTgwTmIDJqzkAwDPXxbocpXpUbHXydiN1RTw/viewform?usp=pp_url&entry.157487=cloud-sql-sqlserver ## Table of Contents - [Why Use Cloud SQL for SQL Server?](#why-use-cloud-sql-for-sql-server) - [Prerequisites](#prerequisites) - [Getting Started](#getting-started) - [Configuration](#configuration) - [Installation & Usage](#installation--usage) - [Antigravity](#antigravity) - [Claude Code](#claude-code) - [Codex](#codex) - [Installing via a compatible Agent Plugins client](#installing-via-a-compatible-agent-plugins-client) - [Usage Examples](#usage-examples) - [Available Tools](#available-tools) - [Generating Skills Instead](#generating-skills-instead) - [Additional Agent Skills](#additional-agent-skills) - [Troubleshooting](#troubleshooting) ## Why Use Cloud SQL for SQL Server? - **Seamless Workflow:** Integrates seamlessly into your AI agent's environment. No need to constantly switch contexts for common database tasks. - **Natural Language Queries:** Stop wrestling with complex commands. Explore schemas and query data by describing what you want in plain English. - **Full Lifecycle Control:** Manage the entire lifecycle of your database, from creating instances to exploring schemas and running queries. - **Code Generation:** Accelerate development by asking your agent to generate data classes and other code snippets based on your table schemas. ## Prerequisites Before you begin, ensure you have the following: - One of these AI agents installed - Antigravity - [Antigravity CLI](https://github.com/google-gemini/gemini-cli) version **v1.6.0** or higher - [Antigravity 2.0](https://antigravity.google/product/antigravity-2) version **v2.0.0** or higher. - [Claude Code](https://claude.com/product/claude-code) version **v2.1.94** or higher. - [Codex](https://developers.openai.com/codex) **v0.117.0** or higher. - [Node.js](https://nodejs.org/) — the MCP server runs via `npx`. - A Google Cloud project with the **Cloud SQL Admin API** enabled. - Ensure [Application Default Credentials](https://cloud.google.com/docs/authentication/gcloud) are available in your environment. - IAM Permissions: - Cloud SQL Client (`roles/cloudsql.client`) - Cloud SQL Viewer (`roles/cloudsql.viewer`) - Cloud SQL Admin (`roles/cloudsql.admin`) ## Getting Started ### Configuration Please keep these env vars handy during the installation process: - `CLOUD_SQL_MSSQL_PROJECT`: The GCP project ID. - `CLOUD_SQL_MSSQL_REGION`: The region of your Cloud SQL instance. - `CLOUD_SQL_MSSQL_INSTANCE`: The ID of your Cloud SQL instance. - `CLOUD_SQL_MSSQL_DATABASE`: The name of the database to connect to. - `CLOUD_SQL_MSSQL_USER`: The database username. - `CLOUD_SQL_MSSQL_PASSWORD`: The password for the database user. - `CLOUD_SQL_MSSQL_IP_TYPE`: (Optional) Type of the IP address: `PUBLIC`, `PRIVATE`, or `PSC`. Defaults to `PUBLIC`. > [!NOTE] > > - Ensure [Application Default Credentials](https://cloud.google.com/docs/authentication/gcloud) are available in your environment. > - If your Cloud SQL for SQL Server instance uses private IPs, you must run your agent in the same Virtual Private Cloud (VPC) network. > - This configuration is primarily for the Data Plane skills (querying). The Admin toolset does not strictly require these to be pre-set if you provide them in your prompts, but it is recommended for a smoother experience. ### Installation & Usage To start interacting with your database, install the extension for your preferred AI agent, then launch the agent and use natural language to ask questions or perform tasks. For the latest version, check the [releases page][releases]. [releases]: https://github.com/gemini-cli-extensions/cloud-sql-sqlserver/releases <!-- {x-release-please-start-version} --> <details open> <summary id="antigravity">Antigravity</summary> You can use either of these two agents for Antigravity: - [Antigravity CLI](https://github.com/google-gemini/gemini-cli) version **v1.6.0** or higher - [Antigravity 2.0](https://antigravity.google/product/antigravity-2) version **v2.0.0** or higher. <blockquote> 💡 <strong>Tip — Migrating from Gemini CLI?</strong><br> If you previously installed this extension with <code>gemini extensions install</code>, you can convert it to an Antigravity plugin instead of reinstalling from scratch: <ul> <li><strong>On first launch of Antigravity CLI</strong>, accept the Migration Options prompt to automatically convert your installed Gemini CLI extensions to Antigravity plugins.</li> <li><strong>Or, from your terminal</strong>, run: <pre><code class="language-bash">agy plugin import gemini</code></pre> </li> </ul> See <a href="https://antigravity.google/docs/gcli-migration">Migrating from Gemini CLI</a> for details on plugins, context files (<code>GEMINI.md</code> / <code>AGENTS.md</code>), and MCP server config differences. </blockquote> #### Antigravity 2.0 (IDE) **1. Install the plugin:** Install the plugin directly from the remote GitHub repository: ```bash agy plugin install https://github.com/gemini-cli-extensions/cloud-sql-sqlserver ``` **2. Set env vars:** Set your environment vars as described in the [configuration section](#configuration). _(Tip: You can verify the MCP server is active by running the `/mcp` command in your active session.)_ #### Antigravity CLI You can install plugins directly from a remote GitHub repository. **1. Install the plugin:** ```bash agy plugin install https://github.com/gemini-cli-extensions/cloud-sql-sqlserver ``` **2. Set env vars:** Set your environment vars as described in the [configuration section](#configuration). </details> <details> <summary id="claude-code">Claude Code</summary> **1. Set env vars:** In your terminal, set your environment vars as described in the [configuration section](#configuration). **2. Start the agent:** ```bash claude ``` **3. Install the plugin:** ```bash /plugin install cloud-sql-sqlserver@claude-plugins-official ``` _(Tip: Run `/plugin list` inside Claude Code to verify the plugin is active, or `/reload-plugins` if you just installed it.) </details> <details> <summary id="codex">Codex</summary> **1. Install marketplace:** ```bash codex plugin marketplace add GoogleCloudPlatform/data-cloud-plugins ``` **2. Install the plugin:** ```bash codex plugin add cloud-sql-sqlserver@data-cloud-plugins ``` **3. Set env vars:** Enter your environment vars as described in the [configuration section](#configuration). **4. (Optional) Update the marketplace:** ```sh codex plugin marketplace upgrade data-cloud-plugins ``` </details> ## Installing via a compatible Agent Plugins client ## Installing via a compatible Agent Plugins client This repository is a valid [Agent Plugins](https://github.com/agentplugins/agent-plugins-spec) (v1) plugin. Any [Agent Plugins–compatible client](https://agent-plugins.org/compatible-clients) can install it directly using its own built-in plugin command — no extra tooling required — by pointing at this repository: ``` https://github.com/gemini-cli-extensions/cloud-sql-sqlserver ``` Beyond harnesses covered by the native install above, compatible clients include VS Code, Cursor, GitHub Copilot, and Kiro. See your agent's documentation for its exact install command. **Set env vars:** Set your environment vars as described in the [configuration section](#configuration). <!-- {x-release-please-end} --> ## Usage Examples Interact with Cloud SQL for SQL Server using natural language: - **Provision Infrastructure:** - "Create a new Cloud SQL for SQL Server instance named 'e-commerce-prod' in the 'my-gcp-project' project." - "Create a new user named 'analyst' with read access to all tables." - **Explore Schemas and Data:** - "Show me all tables in the 'orders' database." - "What are the columns in the 'products' table?" - "How many orders were placed in the last 30 days, and what were the top 5 most purchased items?" - **Generate Code:** - "Generate a Python dataclass to represent the 'customers' table." ## Available Tools The tools come from MCP Toolbox's prebuilt `cloud-sql-mssql` server, grouped into toolsets: - **admin** - Use these tools when you need to provision new Cloud SQL for SQL Server instances, create databases and users, and monitor the progress of long-running operations. - **data** - Use these tools when you need to explore the database schema and execute SQL queries to interact with your data. - **monitor** - Use these tools when you need to troubleshoot slow queries and analyze system-level PromQL metrics. - **lifecycle** - Use these tools when you need to manage the lifecycle and durability of your data, including creating backups, restoring from existing backups, and cloning instances for testing or migration. For the full, up-to-date list, see the [`cloud-sql-mssql` prebuilt config](https://github.com/googleapis/mcp-toolbox/blob/main/internal/prebuiltconfigs/tools/cloud-sql-mssql.yaml) in the MCP Toolbox repository. ## Generating Skills Instead The tool-backed skills this plugin used to ship were generated from the same prebuilt toolsets. If your agent lacks deferred tool loading, or you prefer skills, regenerate them with the script in this repository: ```bash VERSION=<toolbox version> ./.github/scripts/generate_skills.sh ``` Use the toolbox version pinned in [`mcp.json`](https://github.com/googlecloudplatform/cloud-sql-sqlserver-plugin/blob/HEAD/mcp.json). A single toolset, without the script: ```bash npx @toolbox-sdk/server@<toolbox version> --prebuilt cloud-sql-mssql skills-generate \ --name "<skill name>" \ --toolset "<toolset>" \ --description "<what it is for>" ``` The generated scripts call the toolbox through `npx`, so no binary download is needed. See [Generate Agent Skills](https://github.com/googleapis/mcp-toolbox#generate-agent-skills) in the MCP Toolbox repository. ## Additional Agent Skills Find additional skills to support your entire software development lifecycle at [github.com/gemini-cli-extensions](https://github.com/gemini-cli-extensions), including: * [Generic SQL Server skills](https://github.com/gemini-cli-extensions/sql-server) * [Cloud SQL for SQL Server Observability extension](https://github.com/gemini-cli-extensions/cloud-sql-sqlserver-observability) * and more! ## Troubleshooting Use the debug mode of your agent (e.g., `gemini --debug`) to enable debugging. Common issues: * "failed to find default credentials: google: could not find default credentials.": Ensure [Application Default Credentials](https://cloud.google.com/docs/authentication/gcloud) are available in your environment. See [Set up Application Default Credentials](https://cloud.google.com/docs/authentication/external/set-up-adc) for more information. * "✖ Error during discovery for server: MCP error -32000: Connection closed": The database connection has not been established. Ensure your configuration is set via environment variables. * "✖ MCP ERROR: Error: spawn .../toolbox ENOENT": The Toolbox binary did not download correctly. Ensure you are using the latest version of your agent. * "cannot execute binary file": The Toolbox binary did not download correctly. Ensure the correct binary for your OS/Architecture has been downloaded. See [Installing the server](https://mcp-toolbox.dev/documentation/introduction/#install-toolbox) for more information. DetailsTypePluginsTopicDatabasesPublishergooglecloudplatformSourcegeminiCategoryToolsVersion0.2.0Stars10Copies (forks)5Proposed changes3Last updateNov 10, 20266 days agoProject statusActiveLanguagePythonLicenseApache-2.0AddedOct 15, 20261 month agoUpdatedOct 15, 20261 month agoSource idgooglecloudplatform/cloud-sql-sqlserver-pluginMoreMore plugins on DatabasesAll from googlecloudplatformA–Z index
