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115 lines
6.0 KiB
Markdown
115 lines
6.0 KiB
Markdown
# Cloud SQL for PostgreSQL MCP Server
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The Cloud SQL for PostgreSQL Model Context Protocol (MCP) Server gives AI-powered development tools the ability to work with your Google Cloud SQL for PostgreSQL databases. It supports connecting to instances, exploring schemas, running queries, and analyzing performance.
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## Features
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An editor configured to use the Cloud SQL for PostgreSQL MCP server can use its AI capabilities to help you:
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- **Query Data** - Execute SQL queries and analyze query plans
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- **Explore Schema** - List tables, views, indexes, and triggers
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- **Monitor Performance** - View active queries, bloat, and memory configurations
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- **Manage Extensions** - List available and installed extensions
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For Cloud SQL infrastructure management, search the MCP store for the Cloud SQL for PostgreSQL Admin 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 Client (`roles/cloudsql.client`)
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> **Note:** If your instance uses private IPs, you must run the MCP server in the same Virtual Private Cloud (VPC) network.
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## Install & Configuration
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1. 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-postgres```.
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2. Add the required inputs for your [instance](https://cloud.google.com/sql/docs/postgres/instance-info) in the configuration pop-up, then click "Save". You can update this configuration at any time in the "Configure" tab.
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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 PostgreSQL capabilities to your AI assistant. You can:
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* "Show me the top 5 bloated tables."
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* "List all installed extensions."
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* "Explain the query plan for SELECT * FROM users."
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## Server Capabilities
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The Cloud SQL for PostgreSQL MCP server provides the following tools:
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| Tool Name | Description |
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|:---------------------------------|:---------------------------------------------------------------|
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| `execute_sql` | Use this tool to execute sql. |
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| `list_tables` | Lists detailed schema information for user-created tables. |
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| `list_active_queries` | List the top N currently running queries. |
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| `list_available_extensions` | Discover all PostgreSQL extensions available for installation. |
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| `list_installed_extensions` | List all installed PostgreSQL extensions. |
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| `list_autovacuum_configurations` | List PostgreSQL autovacuum-related configurations. |
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| `list_memory_configurations` | List PostgreSQL memory-related configurations. |
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| `list_top_bloated_tables` | List the top tables by dead-tuple (approximate bloat signal). |
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| `list_replication_slots` | List key details for all PostgreSQL replication slots. |
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| `list_invalid_indexes` | Lists all invalid PostgreSQL indexes. |
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| `get_query_plan` | Generate a PostgreSQL EXPLAIN plan in JSON format. |
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| `list_views` | Lists views in the database. |
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| `list_schemas` | Lists all schemas in the database. |
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| `database_overview` | Fetches the current state of the PostgreSQL server. |
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| `list_triggers` | Lists all non-internal triggers in a database. |
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| `list_indexes` | Lists available user indexes in the database. |
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| `list_sequences` | Lists sequences in the database. |
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## Custom MCP Server Configuration
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The MCP server is configured using environment variables.
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```bash
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export CLOUD_SQL_POSTGRES_PROJECT="<your-gcp-project-id>"
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export CLOUD_SQL_POSTGRES_REGION="<your-cloud-sql-region>"
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export CLOUD_SQL_POSTGRES_INSTANCE="<your-cloud-sql-instance-id>"
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export CLOUD_SQL_POSTGRES_DATABASE="<your-database-name>"
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export CLOUD_SQL_POSTGRES_USER="<your-database-user>" # Optional
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export CLOUD_SQL_POSTGRES_PASSWORD="<your-database-password>" # Optional
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export CLOUD_SQL_POSTGRES_IP_TYPE="PUBLIC" # Optional: `PUBLIC`, `PRIVATE`, `PSC`. Defaults to `PUBLIC`.
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```
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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-postgres": {
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"command": "npx",
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"args": ["-y", "@toolbox-sdk/server", "--prebuilt", "cloud-sql-postgres", "--stdio"],
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"env": {
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"CLOUD_SQL_POSTGRES_PROJECT": "your-project-id",
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"CLOUD_SQL_POSTGRES_REGION": "your-region",
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"CLOUD_SQL_POSTGRES_INSTANCE": "your-instance-id",
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"CLOUD_SQL_POSTGRES_DATABASE": "your-database-name",
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"CLOUD_SQL_POSTGRES_USER": "your-username",
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"CLOUD_SQL_POSTGRES_PASSWORD": "your-password"
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}
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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 PostgreSQL documentation](https://cloud.google.com/sql/docs/postgres).
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