Google Sheets

Live

OAUTH 2.0

SPREADSHEETS

Files & Documents

Every spreadsheet, dashboard, and data table your team maintains lives in Google Sheets. Google Sheets MCP gives your agent authenticated access to spreadsheet data scoped to the user who authorized it.

  • Acts as the user: Access and write actions stay tied to the Google Sheets account that authorized the agent.
  • Credentials stay vaulted: AES-256, resolved at request time, never in LLM context.
  • Scoped before every call: User permissions enforced. 90-day audit trail.
Google Sheets
agent · Acme Q3
Run
Read the pipeline tracker sheet and tell me which deals are closing this month with values above $50K.
S
gsheets_values_get
71ms
Data agent
6 deals closing this month above $50K: Acme ($120K, Oct 31), Globex ($85K, Oct 28), Initech ($72K, Oct 30), Umbrella ($65K, Oct 29), Stark ($58K, Oct 27), Novex ($52K, Oct 31).
Sources: pipeline tracker, Sheet1
googlesheetsmcp
6 rows
18:29
Message Claude...

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

CALL ANY TOOL
Read and write cell ranges, append rows, list sheets, and apply batch structural updates.
googlesheets_search_developer_metadata
Search developer metadata
Search for developer metadata entries in a Google Sheet by key, or by the sheet/row/column they are attached to. Returns all matching entries with their location and value.
Parameters
Name
Type
Required
Description
metadata_key
string
Required
Only return developer metadata entries with this exact key.
spreadsheet_id
string
Required
The ID of the Google Sheet to search
googlesheets_get_values
Get values
googlesheets_add_chart
Add chart
googlesheets_get_developer_metadata
Get developer metadata
googlesheets_add_sheet
Add sheet
googlesheets_get_spreadsheet_by_data_filter
Get spreadsheet by data filter
googlesheets_add_banding
Add banding
googlesheets_update_values
Update values
googlesheets_create_spreadsheet
Create spreadsheet
googlesheets_add_named_range
Add named range
googlesheets_create_developer_metadata
Create developer metadata
googlesheets_add_protected_range
Add protected range
googlesheets_update_dimension_properties
Update dimension properties
googlesheets_add_conditional_format
Add conditional format
googlesheets_update_spreadsheet_properties
Update spreadsheet properties
googlesheets_sort_range
Sort range
googlesheets_merge_cells
Merge cells
googlesheets_clear_values
Clear values
googlesheets_format_cells
Format cells
googlesheets_freeze_panes
Freeze panes
googlesheets_insert_range
Insert range
googlesheets_rename_sheet
Rename sheet
googlesheets_append_values
Append values
googlesheets_move_dimension
Move dimension
googlesheets_duplicate_sheet
Duplicate sheet
googlesheets_trim_whitespace
Trim whitespace
googlesheets_insert_dimension
Insert dimension
googlesheets_read_spreadsheet
Read spreadsheet
googlesheets_copy_sheet_to
Copy sheet to
googlesheets_text_to_columns
Text to columns
Build your Agent
Drop the toolkit in, point it at the user, and your data agent can use Google Sheets from the first run.
Python · LlamaIndex
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 });
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 }],
});
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 and RevOps Teams
Revenue forecast commentary
Pulls open pipeline from Salesforce and HubSpot, calculates coverage against quota, flags at-risk stages, posts commentary to Slack, and logs every snapshot to Google Sheets.
GTM and RevOps Teams
Outbound prospecting agent
Searches Apollo for prospects matching your ICP, scores and ranks them, drafts personalized outreach in Gmail, and logs every send to Google Sheets. Mail goes out as the rep, not from a shared inbox.
GTM and RevOps Teams
Competitive intelligence briefing agent
Scans Gong calls for competitor mentions, matches each one to its Notion battlecard, and DMs every affected rep a single Slack digest per cycle. Every call runs as the PMM who owns the briefing, never a shared bot.
GTM and RevOps Teams
Deal room sync
Pulls opportunity context from Salesforce, captures key decisions from Slack, and syncs a running summary to the deal room doc in Google Drive, but only when the deal actually changed.
Test other agents
Same per-user auth pattern across other data agents and MCP connectors. Working code, live demos, fork what fits.
SALES
Outbound prospecting agent
Search Apollo for ICP matches, rank them, draft personalised Gmail outreach, and log every send to Google Sheets.
GTM
Revenue forecast agent
Score pipeline coverage against quota across Salesforce and HubSpot, post forecast commentary to Slack, log snapshots to Sheets.
GTM
Competitive intelligence briefing agent
Scan Gong calls for competitor mentions, match each one to its Notion battlecard, and DM every affected rep a single Slack digest.
GTM
Deal room sync agent
Pull opportunity context from Salesforce, capture decisions from Slack, and keep the Google Drive deal room doc current.
Why Scalekit
Secure your agent's access. Connectors ship in minutes
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.
Start in your coding agent
Up and running in one command
Install the Scalekit skill in your editor of choice. Connector, auth, tools, prompt, all wired up
Claude Code REPL
/plugin marketplace add scalekit-inc/claude-code-authstack
/plugin install agentkit@scalekit-auth-stack
Cursor Code REPL
# ~/.cursor/mcp.json
{
""mcpServers"": {
""googlesheets"": {
""url"": ""https://mcp.scalekit.com/googlesheets"",
""headers"": { ""Authorization"": ""Bearer $SCALEKIT_TOKEN"" }
}
}
}
Codex Code REPL
# ~/.codex/config.toml
[mcp_servers.googlesheets]
url = ""https://mcp.scalekit.com/googlesheets""
auth_env = ""SCALEKIT_TOKEN""
Copilot Code REPL
# .vscode/mcp.json
{
""servers"": {
""googlesheets"": {
""url"": ""https://mcp.scalekit.com/googlesheets"",
""type"": ""http""
}
}
}