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PopNx MCPMCP servers for people who use AI · explained in plain words

Google Docs

by domdomeggversion 1.2.0i★ –iRuns on your computer
Registry nameio.github.domdomegg/google-documents-mcp

Install

Overview

Description from the maker (original English)

Allow AI systems to read and edit Google Docs.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio, Streamable HTTP
  • Category: Docs, sheets & office work
  • You need to fill in: GOOGLE_ACCESS_TOKEN

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: GOOGLE_ACCESS_TOKEN

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "google-documents": {
      "command": "npx",
      "args": [
        "-y",
        "google-documents-mcp"
      ],
      "env": {
        "GOOGLE_ACCESS_TOKEN": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add google-documents --env GOOGLE_ACCESS_TOKEN=your-value -- npx -y google-documents-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "google-documents": {
      "command": "npx",
      "args": [
        "-y",
        "google-documents-mcp"
      ],
      "env": {
        "GOOGLE_ACCESS_TOKEN": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "google-documents": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "google-documents-mcp"
      ],
      "env": {
        "GOOGLE_ACCESS_TOKEN": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • GOOGLE_ACCESS_TOKEN secret required env
    Google OAuth access token with Docs scope.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account domdomegg, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Docs, sheets & office worki

  • More stars than 0% of the other 2198 servers in this category
  • Published to the registry more recently than 4% of the other 2198 servers in this category
  • Basic checks equal to or better than 100% of the other 2198 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Google Docs safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: GOOGLE_ACCESS_TOKEN

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.2.0) reached the registry 8 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Agent-Native Google Calendar - manage events, sync, and public booking

Runs in the cloud★ 7,620MITUpdated 2 months ago
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Excel MCP Server

by haris-musa

Lets AI create and edit Excel files itself, including formulas, charts and PivotTables, without Excel installed.

Runs on your computer★ 4,276MITUpdated 7 days ago
Install

Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.

Runs on your computer★ 847MITUpdated 4 days ago
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

google-documents-mcp

MCP server for Google Docs - read and edit documents.

Use Cases

Document Q&A: "What does the contract say about termination clauses?" → reads the doc and pulls out the relevant section.

Meeting-to-doc workflow: After a call, reads the Gemini transcript plus follow-up Slack discussion, then updates your team charter with the decisions made.

Release announcement: "Draft a blog post about the new feature based on the GitHub PRs and Slack discussions in #proj-awesome" → synthesizes technical changes into user-facing content.

Daily planning with persistent context: Your AI assistant reads a "planning log" doc at the start of each day, asks about yesterday's progress, helps you identify today's priority, then updates the doc with your plan. Context carries over across sessions - it remembers what you said you'd do and can follow up.

(These are just examples - any workflow that needs document reading or editing can use this. Use in combination with google-drive-mcp for finding files, deleting, comments, and sharing permissions.)

Setup

1. Create Google OAuth credentials
  1. Go to Google Cloud Console
  2. Create a new project (or use existing)
  3. Enable the Google Docs API
  4. Go to APIs & Services → OAuth consent screen, set up consent screen
  5. Go to APIs & Services → Credentials → Create Credentials → OAuth client ID
  6. Choose Web application
  7. Add http://localhost:3000/callback to Authorized redirect URIs
  8. Note your Client ID and Client Secret
2. Run the server
GOOGLE_CLIENT_ID='your-client-id' \

GOOGLE_CLIENT_SECRET='your-client-secret' \ MCP_TRANSPORT=http \ npm start

The server runs on http://localhost:3000 by default. Change with PORT=3001.

3. Add to your MCP client

With the server running, follow the instructions on install-mcp, which generates the right config for your MCP client (Claude Code, Claude Desktop, Cursor, Cline, VS Code, and more).

Architecture

This server acts as an OAuth proxy to Google:

graph LR

A[MCP client] <--> B[google-documents-mcp] <--> C[Google OAuth/API]

  1. Server advertises itself as an OAuth authorization server via /.well-known/oauth-authorization-server
  2. /register returns the Google OAuth client credentials
  3. /authorize redirects to Google, encoding the client's callback URL in state
  4. /callback receives the code from Google and forwards to the client's callback
  5. /token proxies token requests to Google, injecting client credentials
  6. /mcp handles MCP requests, using the bearer token to call Google Docs API

The server holds no tokens or state - it just proxies OAuth to Google.

Tools

ToolDescription
document_get_rawGet full raw JSON structure (all tabs, formatting, headers, footers, styles)
document_get_textGet plain text content of all tabs
document_createCreate a new blank document
document_batch_updateApply multiple edits atomically (insert, delete, format, etc.)
document_appendAppend text to end of document
document_insertInsert text at a specific index
document_replaceFind and replace text
batch_update Request Types

The document_batch_update tool supports these operations:

  • insertText - Insert text at a location
  • deleteContentRange - Delete a range of content
  • replaceAllText - Find and replace all occurrences
  • insertInlineImage - Insert an image
  • insertTable - Create a table
  • insertTableRow / insertTableColumn - Add rows/columns to tables
  • deleteTableRow / deleteTableColumn - Remove rows/columns from tables
  • insertPageBreak - Add a page break
  • createNamedRange / deleteNamedRange - Manage named ranges
  • createParagraphBullets / deleteParagraphBullets - Manage bullet lists

Google Docs API Scopes

  • documents - Full access to read and edit documents

Contributing

Pull requests are welcomed on GitHub! To get started:

  1. Install Git and Node.js
  2. Clone the repository
  3. Install dependencies with npm install
  4. Run npm run test to run tests
  5. Build with npm run build

Releases

Versions follow the semantic versioning spec.

To release:

  1. Use npm version to bump the version
  2. Run git push --follow-tags to push with tags
  3. Wait for GitHub Actions to publish to the NPM registry.
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