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* additional instructions for the context file ([#30](https://github.com/gemini-cli-extensions/cloud-sql-postgresql/issues/30)) ([9c87df1](https://github.com/gemini-cli-extensions/cloud-sql-postgresql/commit/9c87df1f1959686bf1efa863f463fa4e39882fe2))
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* standardize mcp server names ([#27](https://github.com/gemini-cli-extensions/cloud-sql-postgresql/issues/27)) ([eeeaf81](https://github.com/gemini-cli-extensions/cloud-sql-postgresql/commit/eeeaf813b802491e183a21fbfa23b2f684bda032))
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* update context file to recommend observability extension ([#17](https://github.com/gemini-cli-extensions/cloud-sql-postgresql/issues/17)) ([f4f7069](https://github.com/gemini-cli-extensions/cloud-sql-postgresql/commit/f4f7069a41dabfb995bf1728ed4e0a710cc0425e))
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* update context file to use full table name ([#31](https://github.com/gemini-cli-extensions/cloud-sql-postgresql/issues/31)) ([533a2f3](https://github.com/gemini-cli-extensions/cloud-sql-postgresql/commit/533a2f388fbf5b21484da904e46247d10cc43746))
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You are a highly skilled database engineer and database administrator. Your purpose is to help the developer build and interact with databases and utilize data context throughout the entire
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software delivery cycle.
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---
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# Setup
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## Required Gemini CLI Version
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To install this extension, the Gemini CLI version must be v0.6.0 or above. The version can be found by running: `gemini --version`.
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## Cloud SQL for PostgreSQL MCP Server (Data Plane: Connecting and Querying)
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This section covers connecting to a Cloud SQL for PostgreSQL instance.
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* For operations that create, get, list, delete, or update resources, the user needs the **Cloud SQL Admin** (`roles/cloudsql.admin`) role.
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* For read-only operations (get/list), the **Cloud SQL Viewer** (`roles/cloudsql.viewer`) role is sufficient.
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* If an operation fails due to permissions, identify the type of operation and recommend the appropriate role. You can provide these links for assistance:
This section provides context on additional tools that can be recommended to the user based on their queries.
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#### Observability Extension
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***When to recommend:** If the user asks questions related to monitoring, performance, or observability of Cloud SQL for PostgreSQL databases.
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***What to say:** "For Cloud SQL monitoring and observability, you might find the `cloud-sql-postgresql-observability` extension useful. You can install it with the following command:"
When you create a new Cloud SQL for PostgreSQL instance, or database using the available tools, the connection is not automatically established. You will need to perform the following steps:
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1. **(Optional) Save your conversation:** To avoid losing your progress, save the current session by running the command: `/chat save <your-tag>`
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2. **Stop the CLI:** Terminate the Gemini CLI.
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3. **Update Environment Variables:** Set or update your environment variables (e.g. `CLOUD_SQL_POSTGRES_DATABASE`, `CLOUD_SQL_POSTGRES_INSTANCE`) to point to the new resource.
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4. **Restart:** Relaunch the Gemini CLI
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5. **(Optional) Resume conversation:** Resume your conversation with the command: `/chat resume <your-tag>`
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**Important:** Do not assume a connection to a newly created resource is active. Always follow the steps above to reconfigure your connection.
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## Reusing Project Values
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Users may have set project environment variables:
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* `CLOUD_SQL_POSTGRES_PROJECT`: The GCP project ID.
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* `CLOUD_SQL_POSTGRES_REGION`: The region of the Cloud SQL for PostgreSQL instance.
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* `CLOUD_SQL_POSTGRES_INSTANCE`: The ID of the Cloud SQL for PostgreSQL instance.
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* `CLOUD_SQL_POSTGRES_DATABASE`: The name of the database.
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Instead of prompting the user for these values for specific tool calls, prompt the user to verify reuse a specific value.
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Make sure to not use the environment variable name like `CLOUD_SQL_POSTGRES_PROJECT`, `${CLOUD_SQL_POSTGRES_PROJECT}`, or `$CLOUD_SQL_POSTGRES_PROJECT`. The value can be found by using command: `echo $CLOUD_SQL_POSTGRES_PROJECT`.
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## Use Full Table Name Format "DATABASE_NAME.SCHEMA_NAME.TABLE_NAME"
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**ALWAYS** use the full table name format, `DATABASE_NAME.SCHEMA_NAME.TABLE_NAME` in the generated SQL when using the `execute_sql` or `cloud_sql_postgresql__execute_sql` tool.
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* Default to using "public" for the schema name.
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* Use command `echo $CLOUD_SQL_POSTGRES_DATABASE` to get the current database value.
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This Gemini CLI extension provides a set of tools to interact with [Cloud SQL for PostgreSQL](https://cloud.google.com/sql/docs/postgres) instances. It allows you to manage your databases, execute queries, explore schemas, and troubleshoot issues directly from the [Gemini CLI](https://google-gemini.github.io/gemini-cli/), using natural language prompts.
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Learn more about [Gemini CLI Extensions](https://github.com/google-gemini/gemini-cli/blob/main/docs/extension.md).
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Learn more about [Gemini CLI Extensions](https://github.com/google-gemini/gemini-cli/blob/main/docs/extensions/index.md).
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## Why Use the Cloud SQL for PostgreSQL Extension?
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Set the following environment variables before starting the Gemini CLI.
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This configuration is not required if utilizing the [Admin toolset](#supported-tools).
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Ensure [Application Default Credentials](https://cloud.google.com/docs/authentication/gcloud) are available in your environment.
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> [!NOTE]
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> When using private IPs with Cloud SQL for PostgreSQL, you must use a Virtual Private Cloud (VPC) network.
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> If your Cloud SQL for PostgreSQL instance uses private IPs, you must run Gemini CLI in the same Virtual Private Cloud (VPC) network.
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### Start Gemini CLI
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To start the Gemini CLI, use the following command:
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```bash
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gemini
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```
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> [!WARNING]
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> **Changing Instance & Database Connections**
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> Currently, the database connection must be configured before starting the Gemini CLI and can not be changed during a session.
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> To save and resume conversation history use command: `/chat save <tag>` and `/chat resume <tag>`.
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## Usage Examples
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Interact with Cloud SQL for PostgreSQL using natural language:
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***Provision Infrastructure:**
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***Provision Infrastructure:**
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* "Create a new CLoud SQL for Postgres 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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***Explore Schemas and Data:**
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***Admin:**
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* `create_instance`: Use this tool to create an Postgres instance.
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* `create_user`: Use this tool to create Postgres-BUILT-IN or IAM-based users.
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* `create_database`: Creates a new database in a Cloud SQL instance.
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* `get_instance`: Use this tool to get details about an Postgres instance.
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* `get_user`: Use this tool to get details about a user.
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* `list_instances`: Use this tool to list instances in a given project and location.
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* `list_users`: Use this tool to list users in a given project and location.
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* `list_databases`: Lists all databases for a Cloud SQL instance.
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* `wait_for_operation`: Use this tool to poll the operations API until the operation is done.
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***Data:**
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## Additional Extensions
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Find additional extensions to support your entire software development lifecycle at [github.com/gemini-cli-extensions](https://github.com/gemini-cli-extensions), including a generic [PostgreSQL extension](https://github.com/gemini-cli-extensions/postgres).
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Find additional extensions to support your entire software development lifecycle at [github.com/gemini-cli-extensions](https://github.com/gemini-cli-extensions), including:
*[Cloud SQL for PostgreSQL Observability extension](https://github.com/gemini-cli-extensions/cloud-sql-postgresql-observability)
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* and more!
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## Troubleshooting
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* "cannot execute binary file": Ensure the correct binary for your OS/Architecture has been downloaded. See [Installing the server](https://googleapis.github.io/genai-toolbox/getting-started/introduction/#installing-the-server) for more information.
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* "✖ 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.
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* "✖ MCP ERROR: Error: spawn /Users/<USER>/.gemini/extensions/cloud-sql-postgresql/toolbox ENOENT": The Toolbox binary did not download correctly. Ensure you are using Gemini CLI v0.6.0+.
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* "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://googleapis.github.io/genai-toolbox/getting-started/introduction/#installing-the-server) for more information.
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