Google Sheets connector
OAuth 2.0Files & DocumentsAnalyticsConnect to Google Sheets. Create, edit, and analyze spreadsheets with powerful data management capabilities
Google Sheets connector
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Install the SDK
Section titled “Install the SDK”Terminal window npm install @scalekit-sdk/nodeTerminal window pip install scalekit -
Set your credentials
Section titled “Set your credentials”Add your Scalekit credentials to your
.envfile. Find values in app.scalekit.com > Developers > API Credentials..env SCALEKIT_ENVIRONMENT_URL=<your-environment-url>SCALEKIT_CLIENT_ID=<your-client-id>SCALEKIT_CLIENT_SECRET=<your-client-secret> -
Set up the connector
Section titled “Set up the connector”Register your Google Sheets credentials with Scalekit so it handles the token lifecycle. You do this once per environment.
Dashboard setup steps
Register your Scalekit environment with the Google Sheets connector so Scalekit handles the authentication flow and token lifecycle for you. The connection name you create will be used to identify and invoke the connection programmatically. Then complete the configuration in your application as follows:
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Set up auth redirects
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In Scalekit dashboard, go to AgentKit > Connections > Create Connection. Find Google Sheets and click Create. Click Use your own credentials and copy the redirect URI. It looks like
https://<SCALEKIT_ENVIRONMENT_URL>/sso/v1/oauth/<CONNECTION_ID>/callback.
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Navigate to Google Cloud Console → APIs & Services → Credentials. Select + Create Credentials, then OAuth client ID. Choose Web application from the Application type menu.

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Under Authorized redirect URIs, click + Add URI, paste the redirect URI, and click Create.

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Enable the Google Sheets API
- In Google Cloud Console, go to APIs & Services → Library. Search for “Google Sheets API” and click Enable.
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Get client credentials
- Google provides your Client ID and Client Secret after you create the OAuth client ID in step 1.
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Add credentials in Scalekit
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In Scalekit dashboard, go to AgentKit > Connections and open the connection you created.
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Enter your credentials:
- Client ID (from above)
- Client Secret (from above)
- Permissions (scopes — see Google API Scopes reference)

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Click Save.
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Authorize and make your first call
Section titled “Authorize and make your first call”quickstart.ts import { ScalekitClient } from '@scalekit-sdk/node'import 'dotenv/config'const scalekit = new ScalekitClient(process.env.SCALEKIT_ENV_URL,process.env.SCALEKIT_CLIENT_ID,process.env.SCALEKIT_CLIENT_SECRET,)const actions = scalekit.actionsconst connector = 'googlesheets'const identifier = 'user_123'// Generate an authorization link for the userconst { link } = await actions.getAuthorizationLink({ connectionName: connector, identifier })console.log('Authorize Google Sheets:', link)process.stdout.write('Press Enter after authorizing...')await new Promise(r => process.stdin.once('data', r))// Make your first callconst result = await actions.executeTool({connector,identifier,toolName: 'googlesheets_read_spreadsheet',toolInput: { spreadsheet_id: 'YOUR_SPREADSHEET_ID' },})console.log(result)quickstart.py import osfrom scalekit.client import ScalekitClientfrom dotenv import load_dotenvload_dotenv()scalekit_client = ScalekitClient(env_url=os.getenv("SCALEKIT_ENV_URL"),client_id=os.getenv("SCALEKIT_CLIENT_ID"),client_secret=os.getenv("SCALEKIT_CLIENT_SECRET"),)actions = scalekit_client.actionsconnection_name = "googlesheets"identifier = "user_123"# Generate an authorization link for the userlink_response = actions.get_authorization_link(connection_name=connection_name,identifier=identifier,)print("Authorize Google Sheets:", link_response.link)input("Press Enter after authorizing...")# Make your first callresult = actions.execute_tool(tool_input={"spreadsheet_id":"YOUR_SPREADSHEET_ID"},tool_name="googlesheets_read_spreadsheet",connection_name=connection_name,identifier=identifier,)print(result)
What you can do
Section titled “What you can do”Connect this agent connector to let your agent:
- Values clear, append — Clear all values in a specified range of a Google Sheets spreadsheet
- Update values — Update cell values in a specific range of a Google Sheet
- Get values — Returns only the cell values from a specific range in a Google Sheet — no metadata, no formatting, just the data
- Read spreadsheet — Returns everything about a spreadsheet — including spreadsheet metadata, sheet properties, cell values, formatting, themes, and pixel sizes
- Create spreadsheet — Create a new Google Sheets spreadsheet with an optional title and initial sheet configuration
Common workflows
Section titled “Common workflows”Proxy API call
const result = await actions.request({ connectionName: 'googlesheets', identifier: 'user_123', path: '/v4/spreadsheets', method: 'GET',});console.log(result);result = actions.request( connection_name='googlesheets', identifier='user_123', path="/v4/spreadsheets", method="GET")print(result)googlesheets_create_spreadsheet
Create a new Google Sheets spreadsheet with an optional title and initial sheet configuration. Returns the new spreadsheet ID and metadata.
| Name | Type | Required | Description |
|---|---|---|---|
locale | string | No | Locale of the spreadsheet |
schema_version | string | No | Optional schema version to use for tool execution |
sheets | array<object> | No | Initial sheets to include in the spreadsheet |
time_zone | string | No | Time zone for the spreadsheet |
title | string | No | Title of the new spreadsheet |
tool_version | string | No | Optional tool version to use for execution |
googlesheets_get_values
Returns only the cell values from a specific range in a Google Sheet — no metadata, no formatting, just the data. For full spreadsheet metadata and formatting, use googlesheets_read_spreadsheet instead.
| Name | Type | Required | Description |
|---|---|---|---|
major_dimension | string | No | Whether values are returned by rows or columns |
range | string | Yes | Cell range to read in A1 notation |
schema_version | string | No | Optional schema version to use for tool execution |
spreadsheet_id | string | Yes | The ID of the Google Sheet |
tool_version | string | No | Optional tool version to use for execution |
value_render_option | string | No | How values should be rendered in the response |
googlesheets_read_spreadsheet
Returns everything about a spreadsheet — including spreadsheet metadata, sheet properties, cell values, formatting, themes, and pixel sizes. If you only need cell values, use googlesheets_get_values instead.
| Name | Type | Required | Description |
|---|---|---|---|
include_grid_data | boolean | No | Include cell data in the response |
ranges | string | No | Cell range to read in A1 notation |
schema_version | string | No | Optional schema version to use for tool execution |
spreadsheet_id | string | Yes | The ID of the Google Sheet to read |
tool_version | string | No | Optional tool version to use for execution |
googlesheets_update_values
Update cell values in a specific range of a Google Sheet. Supports writing single cells or multiple rows and columns at once.
| Name | Type | Required | Description |
|---|---|---|---|
include_values_in_response | boolean | No | Return the updated cell values in the response |
range | string | Yes | Cell range to update in A1 notation |
schema_version | string | No | Optional schema version to use for tool execution |
spreadsheet_id | string | Yes | The ID of the Google Sheet to update |
tool_version | string | No | Optional tool version to use for execution |
value_input_option | string | No | How input values should be interpreted |
values | array<array> | Yes | 2D array of values to write to the range |
Execute a tool
const result = await actions.executeTool({ connector: 'googlesheets', identifier: 'user_123', toolName: 'googlesheets_get_values', toolInput: { spreadsheet_id: '<SPREADSHEET_ID>', range: 'Sheet1!A1:D10', },});console.log(result);result = actions.execute_tool( connection_name='googlesheets', identifier='user_123', tool_name='googlesheets_get_values', tool_input={ "spreadsheet_id": "<SPREADSHEET_ID>", "range": "Sheet1!A1:D10", },)print(result)Google OAuth consent screen verification
Before you use your own Google OAuth credentials in production, understand what end users see on Google’s consent screen when they authorize a connected account.
| Audience type | Consent screen behavior | When to use |
|---|---|---|
| Internal | Shows your App Name and logo from Branding settings | Only users in your Google Workspace or Cloud Identity organization can authorize the connector |
| External | Shows {env_name}.scalekit.dev until Google verifies your app | Any user with a Google account can authorize the connector |
Why External is required for most AgentKit connectors:
- Internal restricts authorization to users in your Google Workspace or Cloud Identity organization. Users with
@gmail.comor other Google accounts outside your organization cannot complete OAuth. - External is required when end users outside your organization authorize tool access through connected accounts.
- Organization-managed OAuth clients follow the same rules as personal or developer OAuth clients. Switching to an org-owned client does not bypass Google verification.
- Until Google completes verification of your External app, users see
scalekit.devon the consent screen. After verification, your App Name and logo appear.
During development:
- Add Test users under APIs & Services → OAuth consent screen while publishing status is Testing.
- On unverified apps, users can click Advanced → Go to app (unsafe) to proceed during testing.
- Google Workspace admins may need to allowlist your OAuth client.
For Google’s verification requirements and timeline, refer to Google’s OAuth consent screen verification guide.
Tool list
Section titled “Tool list”Use the exact tool names from the Tool list below when you call execute_tool. If you’re not sure which name to use, list the tools available for the current user first.
googlesheets_append_values#Append rows of data to a Google Sheets spreadsheet. Data is added after the last row with existing content in the specified range.5 params
Append rows of data to a Google Sheets spreadsheet. Data is added after the last row with existing content in the specified range.
rangestringrequiredThe A1 notation range to append data to (e.g. Sheet1!A1)spreadsheet_idstringrequiredThe ID of the spreadsheet to append data tovaluesarrayrequired2D array of values to append. Each inner array is a row.insert_data_optionstringoptionalHow the input data should be inserted. Options: INSERT_ROWS (inserts new rows), OVERWRITE (overwrites existing data). Default: OVERWRITEvalue_input_optionstringoptionalHow input data should be interpreted. Options: RAW (literal values), USER_ENTERED (as if typed in UI, parses formulas/dates). Default: USER_ENTEREDgooglesheets_clear_values#Clear all values in a specified range of a Google Sheets spreadsheet. Formatting is preserved; only the cell values are cleared.2 params
Clear all values in a specified range of a Google Sheets spreadsheet. Formatting is preserved; only the cell values are cleared.
rangestringrequiredThe A1 notation range to clear (e.g. Sheet1!A1:D10)spreadsheet_idstringrequiredThe ID of the spreadsheet to clear values ingooglesheets_create_spreadsheet#Create a new Google Sheets spreadsheet with an optional title and initial sheet configuration. Returns the new spreadsheet ID and metadata.6 params
Create a new Google Sheets spreadsheet with an optional title and initial sheet configuration. Returns the new spreadsheet ID and metadata.
localestringoptionalLocale of the spreadsheetschema_versionstringoptionalOptional schema version to use for tool executionsheetsarrayoptionalInitial sheets to include in the spreadsheettime_zonestringoptionalTime zone for the spreadsheettitlestringoptionalTitle of the new spreadsheettool_versionstringoptionalOptional tool version to use for executiongooglesheets_get_values#Returns only the cell values from a specific range in a Google Sheet — no metadata, no formatting, just the data. For full spreadsheet metadata and formatting, use googlesheets_read_spreadsheet instead.6 params
Returns only the cell values from a specific range in a Google Sheet — no metadata, no formatting, just the data. For full spreadsheet metadata and formatting, use googlesheets_read_spreadsheet instead.
rangestringrequiredCell range to read in A1 notationspreadsheet_idstringrequiredThe ID of the Google Sheetmajor_dimensionstringoptionalWhether values are returned by rows or columnsschema_versionstringoptionalOptional schema version to use for tool executiontool_versionstringoptionalOptional tool version to use for executionvalue_render_optionstringoptionalHow values should be rendered in the responsegooglesheets_read_spreadsheet#Returns everything about a spreadsheet — including spreadsheet metadata, sheet properties, cell values, formatting, themes, and pixel sizes. If you only need cell values, use googlesheets_get_values instead.5 params
Returns everything about a spreadsheet — including spreadsheet metadata, sheet properties, cell values, formatting, themes, and pixel sizes. If you only need cell values, use googlesheets_get_values instead.
spreadsheet_idstringrequiredThe ID of the Google Sheet to readinclude_grid_databooleanoptionalInclude cell data in the responserangesstringoptionalCell range to read in A1 notationschema_versionstringoptionalOptional schema version to use for tool executiontool_versionstringoptionalOptional tool version to use for executiongooglesheets_update_values#Update cell values in a specific range of a Google Sheet. Supports writing single cells or multiple rows and columns at once.7 params
Update cell values in a specific range of a Google Sheet. Supports writing single cells or multiple rows and columns at once.
rangestringrequiredCell range to update in A1 notationspreadsheet_idstringrequiredThe ID of the Google Sheet to updatevaluesarrayrequired2D array of values to write to the rangeinclude_values_in_responsebooleanoptionalReturn the updated cell values in the responseschema_versionstringoptionalOptional schema version to use for tool executiontool_versionstringoptionalOptional tool version to use for executionvalue_input_optionstringoptionalHow input values should be interpreted