Google Docs MCP

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A1 Google Docs MCP lets an AI app read and edit Google Docs in plain language. Read a document as text or Markdown, change an exact passage, style headings, lists and tables, work through comment threads and export the result to PDF or DOCX.

It uses the Google Docs API with your Google account. It edits by exact index ranges rather than by guesswork, and makes the limits of the Docs API explicit instead of implying that every document task is possible.

• 27 tools. Read a document as text, structure or Markdown, edit exact ranges, style characters and paragraphs, manage lists, tables, breaks, images and comment threads, and export to PDF, DOCX and more.
• Connects from the conversation. Say "connect Google Docs": the server walks you through the OAuth client, catches Google's redirect on 127.0.0.1 with PKCE and keeps the tokens itself — no config files, no restart.
• Edits are surgical. Changes address exact index ranges, and the server steers the assistant to re-read the document before every edit, because each change shifts the indexes after it.
• Markdown both ways. Create a document from Markdown or export to Markdown, PDF, DOCX and other formats; replacing a whole document with Markdown is a separate, explicitly destructive step.
• No hidden Drive surface. Export, Markdown conversion and comments use Drive endpoints internally, but the server exposes no general-purpose Drive tool.

Start with a read-only question:

Read the launch plan document and summarize its unresolved comment threads.

Connect the server · Explore use cases · Open technical documentation

---

See it work in a minute

You: Show me the text and comments of the launch plan document.

Assistant: Reads the document as compact text blocks and lists its comment threads. Nothing changes.

You: Rewrite the “Timeline” paragraph to say the beta starts on March 3.

Assistant: Shows the exact range it will replace and the proposed text, then asks for confirmation before editing.

You: Confirm.

Assistant: Replaces that one range. The rest of the document, its formatting and its comments stay as they were.

Contents

• Quick start
• What you can ask it to do
• How a document changes
• What can change
• Getting access
• Configuration
• Data, limits and background work
• Technical documentation
• Support

Quick start

You need Node.js 20+ and a Google account. Credentials are not required at install time — the server connects from the conversation.

1. Add the server to your AI app.
2. Say "connect Google Docs": the assistant walks you through creating the OAuth client and approving access without editing config files.
3. Ask the read-only question above.

Codex

In the app: open Settings → MCP servers, select Add server, choose STDIO, enter the command npx -y @a1-x-tech/mcp-google-docs@latest and environment variables GOOGLE_DOCS_CLIENT_ID, GOOGLE_DOCS_CLIENT_SECRET, GOOGLE_DOCS_REFRESH_TOKEN, then select Save and Restart.

From the command line:

codex mcp add google-docs \
  -- npx -y @a1-x-tech/mcp-google-docs@latest

codex mcp list

Codex MCP documentation

Claude Code

claude mcp add \
  --transport stdio --scope user google-docs \
  -- npx -y @a1-x-tech/mcp-google-docs@latest

claude mcp list

Claude Code MCP documentation

Claude Desktop

The current official path is Settings → Extensions. For a custom desktop extension, open Advanced settings → Extension Developer → Install Extension…, select a .mcpb file and follow the prompts.

This repository currently publishes an npm stdio package and does not contain a .mcpb bundle. For Claude Desktop builds that still support local configuration, use the following JSON stdio configuration as a fallback:

{
  "mcpServers": {
    "google-docs": {
      "command": "npx",
      "args": ["-y", "@a1-x-tech/mcp-google-docs@latest"]
    }
  }
}

In those builds, save it to ~/Library/Application Support/Claude/claude_desktop_config.json on macOS or %APPDATA%\Claude\claude_desktop_config.json on Windows.

Claude Desktop MCP documentation

Cursor

Add this to ~/.cursor/mcp.json on macOS/Linux or %USERPROFILE%\.cursor\mcp.json on Windows:

{
  "mcpServers": {
    "google-docs": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@a1-x-tech/mcp-google-docs@latest"]
    }
  }
}

Cursor MCP documentation

VS Code

Run MCP: Open User Configuration and add:

{
  "servers": {
    "google-docs": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@a1-x-tech/mcp-google-docs@latest"]
    }
  }
}

Check it with MCP: List Servers.

VS Code MCP documentation

What you can ask it to do

Read and export a document

• Read this document as text with headings and tables, and summarize it.
• Show the tab tree of the handbook document.
• Export the spec as Markdown; save the contract as a PDF file.

Write and edit text

• Create a meeting-notes document from this Markdown.
• Insert a summary paragraph after the introduction.
• Replace every “Q3” with “Q4” across the document.
• Delete the outdated pricing section.

Format and structure

• Turn these paragraphs into a numbered list; make this line a level-2 heading.
• Bold the key terms and link them to the glossary.
• Insert a 3×4 table for the roadmap and fill in the header row.
• Add a page break before the appendix; insert an image from a public URL.

Work with comments

• List the open comment threads and summarize them.
• Reply to the comment about the deadline and mark it resolved.
• Add a comment quoting the sentence that needs legal review.

How a document changes

1. create_document creates a document — empty, or converted from Markdown in one call.
2. Content is addressed by indexes — UTF-16 positions inside a tab’s body — and every insert or delete shifts all later indexes. The server steers the assistant to take fresh indexes from read_document_text before each edit and to edit from the end of the document backwards.
3. import_markdown replaces the entire body: comment anchors, positioned objects, headers/footers and extra tabs do not survive the conversion.
4. Tabs can be read and targeted, but the API cannot create, rename, delete or reorder them.
5. Comments live in Drive and are managed as threads. A new comment cannot be anchored to a text range — the anchor format is not public — so it attaches at document level, optionally quoting the text it refers to.

Exports are capped at 10 MB and do not include comments or suggestions. Inline images are fetched by Google from a public URL (PNG/JPEG/GIF, up to 50 MB and 25 megapixels); there is no channel for uploading image files.

What can change

Operation	What happens	Confirmation boundary
Read a document, its tabs or comments	Reads content and structure	No change
Export a document	Writes a local file when output_path is set; the document itself is untouched	Changes local files only
Create a document	Adds a new document	Changes Google Docs
Insert text, a table, a break or an image	Adds content	Changes a document
Style text or paragraphs, manage bullets	Overwrites formatting on a range	Changes a document
Replace or delete a range, find and replace	Removes existing content	Destructive
Replace the whole document with Markdown	Replaces the entire body	Destructive
Manage comments	Creates, replies, resolves or permanently deletes	Potentially destructive
Raw API request	Can call API methods without a dedicated tool	Potentially destructive

The AI client controls confirmation prompts. The server marks reads, writes and destructive tools so the client can distinguish an inspection from a live change.

Getting access

Google Docs requires OAuth 2.0; an API key is not enough. There are two ways in, and the first one needs no configuration files.

Connect from the chat (recommended)

Say "connect Google Docs" and the assistant runs the flow with you:

1. setup_instructions prints the checklist: create or select a Google Cloud project, enable Google Docs API, configure the consent screen and create a Desktop app OAuth client.
2. Download that client's JSON ("Download JSON") and give the assistant its path — set_client stores it owner-only. The secret never goes through the conversation.
3. start_login returns a Google consent link. Open it on this machine and approve; the code comes back to a one-shot listener on 127.0.0.1 (PKCE), never through the chat.
4. finish_login exchanges the code and saves the tokens to ~/.config/mcp-google-docs/credentials.json (mode 0600).

The tokens are re-read on every call, so the connection works immediately — no restart of the AI app. auth_status shows what is connected, logout revokes and deletes it.

Environment variables (CI, unattended installs)

1. Create or select a Google Cloud project and enable both the Google Docs API and the Google Drive API (export, Markdown conversion and comments go through Drive endpoints).

2. Configure the OAuth consent screen and create a Desktop app OAuth client.

3. Authorize the Google account that owns or can edit the documents. The OAuth 2.0 Playground can obtain the refresh token when Use your own OAuth credentials is enabled.

4. Request both scopes:

   https://www.googleapis.com/auth/documents
   https://www.googleapis.com/auth/drive
   

   For a narrower setup, drive.file is enough when export, Markdown and comments only touch documents created through this OAuth client, and the read-only pair documents.readonly + drive.readonly is enough for the read-only tools.

Testing-mode OAuth refresh tokens can expire after seven days. Publish the OAuth app, or use an Internal app in a Workspace domain, when you need long-lived access. Treat the client secret and refresh token as passwords.

Configuration

Every variable is optional — with none of them the server connects from the chat.

Variable	Required	Description
GOOGLE_DOCS_CLIENT_ID	No*	OAuth client ID.
GOOGLE_DOCS_CLIENT_SECRET	No*	OAuth client secret.
GOOGLE_DOCS_REFRESH_TOKEN	No*	OAuth refresh token.
GOOGLE_DOCS_ACCESS_TOKEN	No*	Short-lived alternative to the OAuth trio (~1 hour).
GOOGLE_DOCS_OAUTH_PORT	No	Fixed loopback port for the in-chat login; useful over SSH port forwarding.
GOOGLE_DOCS_API_BASE	No	Google Docs API base URL override.
GOOGLE_DOCS_DRIVE_API_BASE	No	Drive API base URL override (export, Markdown, comments).
GOOGLE_DOCS_TIMEOUT_MS	No	Per-request timeout; default 60000 ms.
GOOGLE_DOCS_MAX_RETRIES	No	Temporary-error retries; default 3.

* Provide either the OAuth trio or an access token.

Data, limits and background work

• Requests go to Google. The local server refreshes Google OAuth tokens and calls the Docs API; export, Markdown conversion and comments use Drive API endpoints internally. Its anonymous telemetry contains an installation ID, package version, AI client and platform versions, and tool names — never OAuth tokens, document content, tool arguments or prompts. Set ASKADS_TELEMETRY=0 to opt out.
• Google applies per-minute quotas. On 429, the server backs off and retries; reads also retry after network and 5xx errors, while writes are never replayed after an uncertain failure — a replayed write could duplicate the edit.
• There is no background polling. The server runs only when called. If your AI app supports scheduled tasks, it can check a document or its comments periodically.

Technical documentation

• MCP capability catalog — task-oriented pages for every tool.
• All tools and inputs
• Development documentation
• Publishing documentation
• Google Docs API reference

Support

Found a bug or need a scenario? Create an issue or write in Telegram.

You made it to the end!