About
Allow AI systems to read and edit Google Docs.
Security Report
Valid MCP server (2 strong, 2 medium validity signals). 3 known CVEs in dependencies (0 critical, 2 high severity) Package registry verified. Imported from the Official MCP Registry.
12 files analyzed · 4 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: GOOGLE_ACCESS_TOKEN
Environment variable: MCP_TRANSPORT
Environment variable: GOOGLE_CLIENT_ID
Environment variable: GOOGLE_CLIENT_SECRET
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-domdomegg-google-documents-mcp": {
"env": {
"MCP_TRANSPORT": "your-mcp-transport-here",
"GOOGLE_CLIENT_ID": "your-google-client-id-here",
"GOOGLE_ACCESS_TOKEN": "your-google-access-token-here",
"GOOGLE_CLIENT_SECRET": "your-google-client-secret-here"
},
"args": [
"-y",
"google-documents-mcp"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
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
- Go to Google Cloud Console
- Create a new project (or use existing)
- Enable the Google Docs API
- Go to APIs & Services → OAuth consent screen, set up consent screen
- Go to APIs & Services → Credentials → Create Credentials → OAuth client ID
- Choose Web application
- Add
http://localhost:3000/callbackto Authorized redirect URIs - 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]
- Server advertises itself as an OAuth authorization server via
/.well-known/oauth-authorization-server /registerreturns the Google OAuth client credentials/authorizeredirects to Google, encoding the client's callback URL in state/callbackreceives the code from Google and forwards to the client's callback/tokenproxies token requests to Google, injecting client credentials/mcphandles 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
| Tool | Description |
|---|---|
document_get_raw | Get full raw JSON structure (all tabs, formatting, headers, footers, styles) |
document_get_text | Get plain text content of all tabs |
document_create | Create a new blank document |
document_batch_update | Apply multiple edits atomically (insert, delete, format, etc.) |
document_append | Append text to end of document |
document_insert | Insert text at a specific index |
document_replace | Find and replace text |
batch_update Request Types
The document_batch_update tool supports these operations:
insertText- Insert text at a locationdeleteContentRange- Delete a range of contentreplaceAllText- Find and replace all occurrencesinsertInlineImage- Insert an imageinsertTable- Create a tableinsertTableRow/insertTableColumn- Add rows/columns to tablesdeleteTableRow/deleteTableColumn- Remove rows/columns from tablesinsertPageBreak- Add a page breakcreateNamedRange/deleteNamedRange- Manage named rangescreateParagraphBullets/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:
- Install Git and Node.js
- Clone the repository
- Install dependencies with
npm install - Run
npm run testto run tests - Build with
npm run build
Releases
Versions follow the semantic versioning spec.
To release:
- Use
npm version <major | minor | patch>to bump the version - Run
git push --follow-tagsto push with tags - Wait for GitHub Actions to publish to the NPM registry.
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