Google Docs MCP | OAuth 2.0 Google Docs connector for AI agents

Tools your document agent reaches for on Google Docs, scoped per user.

CALL ANY TOOL

Get, create, and update Google Docs, list accessible documents, and share with collaborators.

googledocs_apply_text_style

Apply text style

Apply character formatting (bold, italic, underline, strikethrough, font size) to a range of text in a Google Doc. Only the attributes you set are changed.

Parameters

Name

Type

Required

Description

document_id

string

Required

The ID of the Google Doc to edit

end_index

integer

Required

End index of the range to format (exclusive)

start_index

integer

Required

Zero-based start index of the range to format (inclusive)

bold

boolean

Optional

Set text to bold (true) or non-bold (false)

font_size_pt

number

Optional

Font size in points

italic

boolean

Optional

Set text to italic (true) or non-italic (false)

schema_version

string

Optional

Optional schema version to use for tool execution

strikethrough

boolean

Optional

Set text to struck through (true) or not (false)

tool_version

string

Optional

Optional tool version to use for execution

underline

boolean

Optional

Set text to underlined (true) or not (false)

googledocs_copy_document

Copy document

googledocs_create_comment

Create comment

googledocs_create_document

Create document

googledocs_create_named_range

Create named range

googledocs_create_paragraph_bullets

Create paragraph bullets

googledocs_delete_comment

Delete comment

googledocs_delete_content_range

Delete content range

googledocs_delete_named_range

Delete named range

googledocs_delete_paragraph_bullets

Delete paragraph bullets

googledocs_export_document

Export document

googledocs_insert_inline_image

Insert inline image

googledocs_insert_page_break

Insert page break

googledocs_insert_table

Insert table

googledocs_insert_text

Insert text

googledocs_list_comments

List comments

googledocs_list_documents

List documents

googledocs_read_document

Read document

googledocs_replace_all_text

Replace all text

googledocs_reply_to_comment

Reply to comment

googledocs_resolve_comment

Resolve comment

googledocs_update_document

Update document

googledocs_update_paragraph_style

Update paragraph style

Build your Agent

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

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: ["googledocs"], toolNames: ["gdocs_document_get", "gdocs_document_create", "gdocs_document_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: ["googledocs"], toolNames: ["gdocs_document_get", "gdocs_document_create", "gdocs_document_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: ["googledocs"], toolNames: ["gdocs_document_get", "gdocs_document_create", "gdocs_document_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/googledocs",
    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 Docs.

Search & recall

Copy the prompt

Copied

Find all documents with [keyword] in the title.

Copy the prompt

Copied

Get the content of [document name].

Copy the prompt

Copied

List all documents updated this week.

Copy the prompt

Copied

Find proposals shared with [email].

Action & creation

Copy the prompt

Copied

Create a new document titled [title].

Copy the prompt

Copied

Add a section to [document]: [text].

Copy the prompt

Copied

Replace all instances of [old text] with [new text] in [document].

Copy the prompt

Copied

Share [document] with [email] as editor.

Reporting & drafts

Copy the prompt

Copied

Summarize the key points of [document].

Copy the prompt

Copied

List all headings in [document].

Copy the prompt

Copied

Compare [doc A] and [doc B] for differences.

Copy the prompt

Copied

Find documents with open comments.

SEE HOW AUTH WORKS

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

Authorize

Your user connects

Google Docs

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

Store

Their

Google Docs

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

Resolve

When your agent calls a

Google Docs

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

Audit

Every

Google Docs

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 document agents and MCP connectors. Working code, live demos, fork what fits.

SUPPORT

Support ticket automation (Google ADK)

Google ADK agent that classifies Zendesk tickets, pulls Notion context, and posts to Slack. End-to-end ticket handoff.

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 Docs 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 Docs 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 Docs 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 Docs?

Yes. Pass a tool name filter to listScopedTools so the document agent only sees the subset you authorize. Pre-API-call scope checks block out-of-policy actions before the request reaches Google Docs.

What happens when a user revokes Google Docs 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 write to docs the user has view-only access to?

No. Write operations require editor access. View-only access blocks all mutations. The agent inherits the exact edit rights the user has on each document.

On this page

Tool and actions Framework Compatibility Starter Prompt Auth Lifecycle Try Other Agents Why Scalekit