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Google Docs

Allow AI systems to read and edit Google Docs.

DocumentationTypeScriptv1.2.0

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 <major | minor | patch> 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.

Installation

Source-derived launch command. Check the maintainer’s required arguments and credentials before running:

bash
npx -y google-documents-mcp

Set up in your AI client

Merge this template into ~/Library/Application Support/Claude/claude_desktop_config.json. Keep existing servers. Add any arguments, credentials, and permissions required by the maintainer; this template has not been install-tested.

json
{
  "mcpServers": {
    "io-github-domdomegg-google-documents-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "google-documents-mcp"
      ]
    }
  }
}

Restart Claude Desktop completely for changes to take effect. Confirm the server appears connected in the client’s tool list, then try a read-only example from its documentation.

Claude Desktop setup reference

Package

google-documents-mcpnpm

Compatible MCP Clients

Google Docs works with any MCP-compatible client. Copy the config snippet from the Configuration section above and add it to the file shown for your client, then restart the application.

  • Claude Desktop~/Library/Application Support/Claude/claude_desktop_config.jsonRestart Claude Desktop completely for changes to take effect.
  • Cursor~/.cursor/mcp.jsonRestart Cursor for changes to take effect.
  • VS Code.vscode/mcp.jsonReload VS Code window for changes to take effect.
  • Windsurf~/.codeium/windsurf/mcp_config.jsonRestart Windsurf for changes to take effect.
  • Claude Code.mcp.jsonSave at the project root, then start Claude Code in that project and review the MCP server approval prompt. Keep real credentials out of shared files.

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