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looker-conversational-analytics

Connect to Looker Conversational Analytics

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About

Connect to Looker Conversational Analytics

Details

Kind
Plugins
Topic
Marketing & analytics
Publisher
gemini-cli-extensions
Origin
gemini
Category
ferramentas
Version
0.3.8
Stars
11
Forks
1
Open pull requests
4
Last push
2026-08-27T16:35:47Z
Repository state
ativo
License
Apache-2.0
Added
2026-08-30 14:13:39
Updated
2026-08-30 14:13:39
Origin id
gemini-cli-extensions/looker-conversational-analytics

README

# Gemini CLI Extension - Looker Conversational Analytics

> [!NOTE]
> This extension is currently in beta (pre-v1.0), and may see breaking changes until the first stable release (v1.0).

This Gemini CLI extension provides a set of tools to interact with [Looker](https://cloud.google.com/looker/docs) instances. It allows you to manage your Looks, dashboards, and explores directly from the [Gemini CLI](https://google-gemini.github.io/gemini-cli/), using natural language prompts.

Learn more about [Gemini CLI Extensions](https://github.com/google-gemini/gemini-cli/blob/main/docs/extensions/index.md).
> [!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=looker

## Why Use the Looker Extension?

* **Seamless Workflow:** Stay in your CLI. No need to constantly switch contexts.
* **Connect to Looker:** Securely connect to your Looker instances.
* **Natural Language Usage:** Stop wrestling with complex commands. List models, explores, and dimensions, and run Looks and queries by describing what you want in plain English.


## Prerequisites

Before you begin, ensure you have the following:

* One of the supported agent harnesses, installed and authenticated:
  * [Gemini CLI](https://github.com/google-gemini/gemini-cli) (v0.6.0+)
  * [Claude Code](https://code.claude.com)
  * [Codex](https://developers.openai.com/codex) (v0.150.0+)
  * [Antigravity CLI](https://antigravity.google)
* [Node.js](https://nodejs.org/) (the MCP server runs via `npx`).
* A Looker instance with API access enabled.
    You will need a Looker Client Id and Client Secret. These can be obtained by following the directions at [Looker API authentication](https://cloud.google.com/looker/docs/api-auth#authentication_with_an_sdk).

* A Google Cloud project with the appropriate APIs enabled.
    You will need a Google Cloud project with the appropriate APIS enabled. Use the following command to enable those APIs:
    ```
    gcloud services enable geminidataanalytics.googleapis.com --project=$PROJECT_ID
    gcloud services enable cloudaicompanion.googleapis.com --project=$PROJECT_ID
    ```

    In addition to [setting the ADC for your server][set-adc], you need to ensure the IAM identity has been given the following IAM roles (or corresponding permissions):
    - `roles/looker.instanceUser`
    - `roles/cloudaicompanion.user`
    - `roles/geminidataanalytics.dataAgentStatelessUser`

    To initialize the application default credential run `gcloud auth login --update-adc` in your environment before starting MCP Toolbox.

[set-adc]: https://cloud.google.com/docs/authentication/provide-credentials-adc


## Getting Started

### Installation

All harnesses use the same plugin; the MCP server runs via `npx` (no binary to download). Install with your harness of choice:

**Gemini CLI**

```bash
gemini extensions install https://github.com/gemini-cli-extensions/looker-conversational-analytics
```

**Claude Code**

```bash
claude plugin marketplace add gemini-cli-extensions/looker-conversational-analytics
claude plugin install looker-conversational-analytics@looker-conversational-analytics
```

**Codex**

```bash
codex plugin marketplace add gemini-cli-extensions/looker-conversational-analytics
codex plugin add looker-conversational-analytics@looker-conversational-analytics
```

**Antigravity**

```bash
agy plugin install https://github.com/gemini-cli-extensions/looker-conversational-analytics
```

See [Configuration](#configuration) for how each harness supplies the connection settings.

### Configuration

The plugin connects to Looker using these settings:

*   `LOOKER_BASE_URL`: The URL of your Looker instance (e.g. `https://looker.example.com`). You may need to add the port, i.e. `:19999`.
*   `LOOKER_CLIENT_ID`: Your Looker Client ID.
*   `LOOKER_CLIENT_SECRET`: Your Looker Client Secret.
*   `LOOKER_PROJECT`: The Google Cloud Project ID.
*   `LOOKER_LOCATION`: The Google Cloud Location ID.
*   `LOOKER_VERIFY_SSL`: (Optional) Whether to verify SSL certificates. Defaults to `true`.

How you supply them depends on the harness:

*   **Gemini CLI**: prompted on install and saved to the extension's `.env`. View or update later with `gemini extensions list` / `gemini extensions config looker-conversational-analytics [setting] [--scope user|workspace]` (restart the CLI to apply).
*   **Claude Code**: pass `--config KEY=VALUE` on install (repeatable), or run `/plugin` inside Claude Code.
*   **Codex** and **Antigravity**: export the variables in your shell before starting:

```bash
export LOOKER_BASE_URL="<your-looker-instance-url>"  # e.g. `https://looker.example.com`. You may need to add the port, i.e. `:19999`.
export LOOKER_CLIENT_ID="<your-looker-client-id>"
export LOOKER_CLIENT_SECRET="<your-looker-client-secret>"
export LOOKER_PROJECT="<your-google-cloud-project-id>"
export LOOKER_LOCATION="<your-google-cloud-location-id>"
export LOOKER_VERIFY_SSL="true" # Optional, defaults to true
```

> [!NOTE]
> * Ensure [Application Default Credentials](https://cloud.google.com/docs/authentication/gcloud) are available in your environment.
> * See [Troubleshooting](#troubleshooting) for debugging your configuration.

### Start Gemini CLI

To start the Gemini CLI, use the following command:

```bash
gemini
```

## Usage
You can ask questions and give commands such as these:

1. What models are available in my Looker instance?
2. What explores are available in *model_name*?
2. What questions can I ask of the explore *explore_name* in model *model_name*?

## Supported Tools

* `get_models`: Use this tool to list the LookML models in Looker.
* `get_explores`: Use this tool to list the explores in a given model.
* `ask_data_insights`: Use this tool to ask a natural language questions of an explore.

## Additional Extensions

Find additional extensions to support your entire software development lifecycle at [github.com/gemini-cli-extensions](https://github.com/gemini-cli-extensions).

## Troubleshooting

Use `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 npx ENOENT": Node.js/`npx` is not installed or not on your `PATH`. Install Node.js (which provides `npx`).
* "npm error"/network failures on first run: `npx` fetches `@toolbox-sdk/server` on first launch, so it needs network access. Retry once connectivity is available.

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