
Google Docs
io.github.domdomeggPublished by GitHub account domdomeggv1.2.0Updated Oct 24, 2026
Allow AI systems to read and edit Google Docs.
Overview
A local MCP server that lets an AI assistant read and edit Google Docs through the Google Docs API.
- What you can do
- Read documents: fetch the full raw JSON structure or the plain text of all tabs, including formatting, headers and footers, and styles. Create documents: start a new blank document. Edit documents: append text, insert text at a specific index, find and replace text, or apply multiple edits atomically such as inserting and deleting content, images, tables, page breaks, named ranges and bullet lists.
- When to use it
- Useful when an assistant should answer questions from a Google Doc, keep a planning or context log updated across sessions, or draft and revise document content from other sources. Pair it with a Drive server if you also need to find, share or delete files.
- Requirements
- Runs locally via npx (Node.js). Needs Google OAuth credentials: GOOGLE_CLIENT_ID, GOOGLE_CLIENT_SECRET and GOOGLE_ACCESS_TOKEN with Docs scope, plus MCP_TRANSPORT. Requires a Google Cloud project with the Docs API enabled and an OAuth consent screen, and network access to Google. The server listens on localhost port 3000 by default.
Installation
In SourceWeft
- Open Google Docs in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
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
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:
- 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
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.
Source: README.md at commit 34b15c8
Tools
0Version history
1- v1.2.0LatestSep 16, 2026
Score
40% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts
Declare a license in the repository or the registry entry.