Looker Source
5 minute read
About
Looker is a web based business intelligence and data management tool that provides a semantic layer to facilitate querying. It can be deployed in the cloud, on GCP, or on premises.
Available Tools
Looker Source Tools
| Tool Name | Description |
|---|---|
| looker-add-dashboard-element Tool | "looker-add-dashboard-element" creates a dashboard element in the given dashboard. |
| looker-add-dashboard-filter Tool | The "looker-add-dashboard-filter" tool adds a filter to a specified dashboard. |
| looker-conversational-analytics Tool | The "looker-conversational-analytics" tool will use the Conversational Analaytics API to analyze data from Looker |
| looker-create-project-directory Tool | A "looker-create-project-directory" tool creates a new directory in a LookML project. |
| looker-create-project-file Tool | A "looker-create-project-file" tool creates a new LookML file in a project. |
| looker-delete-project-directory Tool | A "looker-delete-project-directory" tool deletes a directory from a LookML project. |
| looker-delete-project-file Tool | A "looker-delete-project-file" tool deletes a LookML file in a project. |
| looker-dev-mode Tool | A "looker-dev-mode" tool changes the current session into and out of dev mode |
| looker-generate-embed-url Tool | "looker-generate-embed-url" generates an embeddable URL for Looker content. |
| looker-get-connection-databases Tool | A "looker-get-connection-databases" tool returns all the databases in a connection. |
| looker-get-connection-schemas Tool | A "looker-get-connection-schemas" tool returns all the schemas in a connection. |
| looker-get-connection-table-columns Tool | A "looker-get-connection-table-columns" tool returns all the columns for each table specified. |
| looker-get-connection-tables Tool | A "looker-get-connection-tables" tool returns all the tables in a connection. |
| looker-get-connections Tool | A "looker-get-connections" tool returns all the connections in the source. |
| looker-get-dashboards Tool | "looker-get-dashboards" tool searches for a saved Dashboard by name or description. |
| looker-get-dimensions Tool | A "looker-get-dimensions" tool returns all the dimensions from a given explore in a given model in the source. |
| looker-get-explores Tool | A "looker-get-explores" tool returns all explores for the given model from the source. |
| looker-get-filters Tool | A "looker-get-filters" tool returns all the filters from a given explore in a given model in the source. |
| looker-get-looks Tool | "looker-get-looks" searches for saved Looks in a Looker source. |
| looker-get-measures Tool | A "looker-get-measures" tool returns all the measures from a given explore in a given model in the source. |
| looker-get-models Tool | A "looker-get-models" tool returns all the models in the source. |
| looker-get-parameters Tool | A "looker-get-parameters" tool returns all the parameters from a given explore in a given model in the source. |
| looker-get-project-directories Tool | A "looker-get-project-directories" tool returns the directories within a specific LookML project. |
| looker-get-project-file Tool | A "looker-get-project-file" tool returns the contents of a LookML fle. |
| looker-get-project-files Tool | A "looker-get-project-files" tool returns all the LookML fles in a project in the source. |
| looker-get-projects Tool | A "looker-get-projects" tool returns all the LookML projects in the source. |
| looker-health-analyze Tool | "looker-health-analyze" provides a set of analytical commands for a Looker instance, allowing users to analyze projects, models, and explores. |
| looker-health-pulse Tool | "looker-health-pulse" performs health checks on a Looker instance, with multiple actions available (e.g., checking database connections, dashboard performance, etc). |
| looker-health-vacuum Tool | "looker-health-vacuum" provides a set of commands to audit and identify unused LookML objects in a Looker instance. |
| looker-make-dashboard Tool | "looker-make-dashboard" generates a Looker dashboard in the users personal folder in Looker |
| looker-make-look Tool | "looker-make-look" generates a Looker look in the users personal folder in Looker |
| looker-query Tool | "looker-query" runs an inline query using the Looker semantic model. |
| looker-query-sql Tool | "looker-query-sql" generates a sql query using the Looker semantic model. |
| looker-query-url Tool | "looker-query-url" generates a url link to a Looker explore. |
| looker-run-dashboard Tool | "looker-run-dashboard" runs the queries associated with a dashboard. |
| looker-run-look Tool | "looker-run-look" runs the query associated with a saved Look. |
| looker-update-project-file Tool | A "looker-update-project-file" tool updates the content of a LookML file in a project. |
| looker-validate-project Tool | A "looker-validate-project" tool checks the syntax of a LookML project and reports any errors |
Requirements
Looker User
This source only uses API authentication. You will need to create an API user to login to Looker.
Note
To use the Conversational Analytics API, you will need to have the following Google Cloud Project API enabled and IAM permissions.
API Enablement in GCP
Enable the following APIs in your Google Cloud Project:
gcloud services enable geminidataanalytics.googleapis.com --project=$PROJECT_ID
gcloud services enable cloudaicompanion.googleapis.com --project=$PROJECT_ID
IAM Permissions in GCP
In addition to setting the ADC for your server, you need to ensure the IAM identity has been given the following IAM roles (or corresponding permissions):
roles/looker.instanceUserroles/cloudaicompanion.userroles/geminidataanalytics.dataAgentStatelessUser
To initialize the application default credential run gcloud auth login --update-adc in your environment before starting MCP Toolbox.
Example
kind: sources
name: my-looker-source
type: looker
base_url: http://looker.example.com
client_id: ${LOOKER_CLIENT_ID}
client_secret: ${LOOKER_CLIENT_SECRET}
project: ${LOOKER_PROJECT}
location: ${LOOKER_LOCATION}
verify_ssl: true
timeout: 600s
The Looker base url will look like “https://looker.example.com”, don’t include a trailing “/”. In some cases, especially if your Looker is deployed on-premises, you may need to add the API port number like “https://looker.example.com:19999”.
Verify ssl should almost always be “true” (all lower case) unless you are using a self-signed ssl certificate for the Looker server. Anything other than “true” will be interpreted as false.
The client id and client secret are seemingly random character sequences assigned by the looker server. If you are using Looker OAuth you don’t need these settings
The project and location fields are utilized only when using the
conversational analytics tool.
Tip
Use environment variable replacement with the format ${ENV_NAME} instead of hardcoding your secrets into the configuration file.
Reference
| field | type | required | description |
|---|---|---|---|
| type | string | true | Must be “looker”. |
| base_url | string | true | The URL of your Looker server with no trailing /. |
| client_id | string | false | The client id assigned by Looker. |
| client_secret | string | false | The client secret assigned by Looker. |
| verify_ssl | string | false | Whether to check the ssl certificate of the server. |
| project | string | false | The project id to use in Google Cloud. |
| location | string | false | The location to use in Google Cloud. (default: us) |
| timeout | string | false | Maximum time to wait for query execution (e.g. “30s”, “2m”). By default, 120s is applied. |
| use_client_oauth | string | false | Use OAuth tokens instead of client_id and client_secret. (default: false) If a header name is provided, it will be used instead of “Authorization”. |
| show_hidden_models | string | false | Show or hide hidden models. (default: true) |
| show_hidden_explores | string | false | Show or hide hidden explores. (default: true) |
| show_hidden_fields | string | false | Show or hide hidden fields. (default: true) |
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