Google Sheets MCP | Oauth 2.0 Google Sheets connector for AI agents

CALL ANY TOOL

Read and write cell ranges, append rows, list sheets, and apply batch structural updates.

gsheets_spreadsheet_get

Get spreadsheet

Retrieve a spreadsheet's metadata, sheets list, and named ranges.

Parameters

Name

Type

Required

Description

spreadsheet_id

string

Required

Google Sheets spreadsheet ID

gsheets_values_get

Get values

gsheets_values_update

Update values

gsheets_values_append

Append rows

gsheets_sheets_list

List sheets

gsheets_batch_update

Batch update

Build your Agent

Drop the toolkit in, point it at the user, and your data agent can use Google Sheets from the first run.

Copied

import { ScalekitClient } from "@scalekit-sdk/node";
import { DynamicStructuredTool } from "@langchain/core/tools";
import { createReactAgent } from "@langchain/langgraph/prebuilt";
import { z } from "zod";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["googlesheets"], toolNames: ["gsheets_spreadsheet_get", "gsheets_values_get", "gsheets_values_update"] },
  pageSize: 100,
});

const lcTools = tools.map((t) => new DynamicStructuredTool({
  name: t.tool.definition.name,
  description: t.tool.definition.description,
  schema: z.object({}).passthrough(),
  func: async (args) => {
    const { data } = await sk.tools.executeTool({
      toolName: t.tool.definition.name,
      identifier: "user_123",
      params: args,
    });
    return JSON.stringify(data);
  },
}));

const agent = createReactAgent({ llm, tools: lcTools });

Copied

import { ScalekitClient } from "@scalekit-sdk/node";
import OpenAI from "openai";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);
const openai = new OpenAI();

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["googlesheets"], toolNames: ["gsheets_spreadsheet_get", "gsheets_values_get", "gsheets_values_update"] },
  pageSize: 100,
});

const llmTools = tools.map((t) => ({
  type: "function",
  function: {
    name: t.tool.definition.name,
    description: t.tool.definition.description,
    parameters: t.tool.definition.input_schema,
  },
}));

const resp = await openai.responses.create({
  model: "gpt-4o", input: prompt, tools: llmTools,
});

import { ScalekitClient } from "@scalekit-sdk/node";
import Anthropic from "@anthropic-ai/sdk";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);
const anthropic = new Anthropic();

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["googlesheets"], toolNames: ["gsheets_spreadsheet_get", "gsheets_values_get", "gsheets_values_update"] },
  pageSize: 100,
});

const llmTools = tools.map((t) => ({
  name: t.tool.definition.name,
  description: t.tool.definition.description,
  input_schema: t.tool.definition.input_schema,
}));

const msg = await anthropic.messages.create({
  model: "claude-sonnet-4-6", max_tokens: 1024,
  tools: llmTools,
  messages: [{ role: "user", content: prompt }],
});

Copied

import { Agent } from "@google/adk/agents";
import {
  MCPToolset, StreamableHTTPConnectionParams,
} from "@google/adk/tools/mcp";

const toolset = new MCPToolset({
  connectionParams: new StreamableHTTPConnectionParams({
    url: "https://mcp.scalekit.com/googlesheets",
    headers: { Authorization: `Bearer ${userScopedToken}` },
  }),
});

const agent = new Agent({
  name: "agent", model: "gemini-2.0-flash",
  tools: await toolset.getTools(),
});

Try these prompts

Paste any prompt into your agent to start using Google Sheets.

Read & analyze

Copy the prompt

Copied

Read [range] from [sheet name].

Copy the prompt

Copied

Get all rows in [sheet] where [column] equals [value].

Copy the prompt

Copied

Sum column [name] in [sheet].

Copy the prompt

Copied

List all sheet tabs in [spreadsheet].

Write & update

Copy the prompt

Copied

Append a new row to [sheet]: [values].

Copy the prompt

Copied

Update cell [A1] in [sheet] to [value].

Copy the prompt

Copied

Write [data] to range [A1:D10] in [sheet].

Copy the prompt

Copied

Clear range [A2:Z100] in [sheet].

Reporting & sync

Copy the prompt

Copied

Read the pipeline tracker and list deals closing this month.

Copy the prompt

Copied

Export [sheet] data as a summary.

Copy the prompt

Copied

Find all rows where [column] is empty.

Copy the prompt

Copied

Compare [Sheet1] and [Sheet2] for differences.

SEE HOW AUTH WORKS

Users authorize Google Sheets once. Their credentials stay vaulted, every call is checked, and every action is logged.

1

Authorize

Your user connects

Google Sheets

once. We tie it to their identity and the meetings they approved — no shared bot account, no org-wide access

Who:

user ‘A’

when:

Once per user

access:

Limited to user

2

Store

Their

Google Sheets

token lives in a vault scoped to them. User A's meetings are never reachable by an agent acting for user B, even on the same connection

vault:

encrypted

scope:

per-user

tokens:

auto-refreshed

3

Resolve

When your agent calls a

Google Sheets

tool, we fetch the right token server-side. It never touches your agent, never appears in the LLM context, never shows up in your logs

speed:

~40ms

check:

before every call

seen by:

nobody

4

Audit

Every

Google Sheets

tool call is logged — who triggered it, which meeting was fetched, what came back. 90 days of history, tied to the user who authorized it

history:

90 days

export:

SIEM-ready

logged:

every call

Test other agents

Same per-user auth pattern across other data agents and MCP connectors. Working code, live demos, fork what fits.

GTM

CRM AI agent

Log calls, update opportunity stages, and surface stalled deals across HubSpot or Salesforce. No manual data entry.

HubSpot

Salesforce

View agent

ENGINEERING

Engineering standup agent

Aggregate GitHub and GitLab activity, link to Jira, and post a daily standup digest to Slack. No async updates.

Why Scalekit

Secure your agent's access. Connectors ship in minutes

Other connector libraries treat auth as a demo afterthought. Scalekit starts with user identity, scope enforcement, and audit.

01.

Shared tokens break per-user analytics

A shared token looks fine in a demo. In production every call looks like a service account. Scalekit resolves the real user credential so attribution, audit, and scope stay accurate.

// shared token
 audit → bot_service_account
 user_filter → broken

 // scalekit
 audit → user_abc
 scope → enforced ✓

02.

Authentication is not authorization

03.

Multi-tenancy is architectural

04.

Google Sheets today. Others tomorrow.

“Our agents act across Salesforce, Gong, Google Drive, and more, on behalf of every customer. Scalekit behind the scenes meant we can keep adding tools without ever rebuilding how credentials or tool calling work.”

Venu Madhav Kattagoni

Head of Engineering / Von

FAQs

Frequently Asked Questions

Does the agent access Google Sheets as the user or as a shared key?
As the user. Each workspace member authorizes once and Scalekit resolves their credential at request time. Audit logs attribute every action to that user, not a shared service account.

Where is the Google Sheets oauth 2.0 stored?
In Scalekit's managed AES-256 token vault, namespaced per tenant. Refresh is automatic. Revocation is a single dashboard action. Tokens never appear in prompts, logs, or LLM context.

Can I limit what the agent is allowed to do in Google Sheets?
Yes. Pass a tool name filter to listScopedTools so the data agent only sees the subset you authorize. Pre-API-call scope checks block out-of-policy actions before the request reaches Google Sheets.

What happens when a user revokes Google Sheets access?
The connection is invalidated on the next tool call. Subsequent requests for that user fail closed with a clear error. Other users in the tenant remain unaffected. The event is logged for audit.

Can the agent overwrite cells in a spreadsheet the user has view access to?
No. Write operations require editor access. View-only access blocks all updates and appends. The agent inherits the exact edit rights the user has on each spreadsheet.

Google Sheets

Tools your data agent reaches for on Google Sheets, scoped per user.