Google Docs Preview MCP
Enables creating anchored comments, replies, and real suggested edits in Google Docs documents via the Google Docs REST API.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Google Docs Preview MCPSuggest replacing 'soon' with 'ASAP' in the document."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
human_edit_tracking: enabled: true history: []
Google Docs Preview MCP
Create anchored comments, replies, and real suggested edits in Google Docs from Claude.
Google’s hosted Docs MCP recognizes the preview operations but does not expose enough of the Docs API schema to use them:
Operation | Hosted MCP problem | This implementation |
Create comments | Strips | Passes the complete request |
Suggest edits | Omits top-level | Exposes |
Recover preview objects | Omits comment-view parameters | Exposes comment, suggestion, and tab view controls |
The underlying Google Docs REST API accepts all three operations. See what failed and why.
Related MCP server: Ultimate Google Docs & Drive MCP Server
Choose a setup
Setup | Works in | Trust boundary | Status |
Local stdio | Claude Desktop and Claude Code | Your computer, Google, and Claude | Recommended for sensitive documents; tested |
Organization connector | Claude.ai and other cloud clients | Adds the organization’s hosting and storage providers | End-to-end pilot passed; production ownership and security review remain |
Personal remote | Claude.ai and other cloud clients | Adds a developer-owned host | Test only; do not use for sensitive documents |
The local server is the current recommendation. Claude.ai cannot connect to localhost or stdio; use Claude Desktop or Claude Code for the local option. Tool results still go to Claude for processing.
The local token file is plaintext JSON protected by Unix file permissions, not an OS keychain. Local execution removes the independent MCP host, but it does not protect against malware running as your user or an administrator.
Local quick start
npm test
npm run auth -- --client /path/to/desktop-oauth-client.json
claude mcp add --scope user google-docs-preview-local -- \
node "$PWD/bin/docs-mcp-local.js"The OAuth flow requests:
https://www.googleapis.com/auth/documentsThis is the minimum scope for arbitrary document IDs, but Google classifies it as Sensitive and describes it as permission to see, edit, create, and delete all Google Docs documents. A drive.file design can narrow access to files a user explicitly selects, but it requires a Google Picker or per-file grant flow that this document-ID-only prototype does not implement.
See the complete setup guide before authorizing an account.
Existing working pilot
The local connector is already configured and connected on this machine:
Item | Current value |
Workspace account |
|
Google Cloud project |
|
Project number |
|
Cloud organization |
|
OAuth client |
|
Local token |
|
Claude connector |
|
Both credential files are ignored, outside this repository and mode 600; the table
contains no credential value. Google Docs and Drive APIs are enabled, and the tester has
effective Project Owner access. Check the connector with:
claude mcp get google-docs-preview-local
npm testThe pilot has now passed two live workloads: a disposable comment/reply/suggestion test and a revision-guarded suggested replacement plus evidence comment in a real published article's source Doc. The organization pilot record contains the access evidence; the stale-content finder retains the real-workflow readback.
This proves the local account and Preview API path. It does not make the developer-owned remote deployment production-ready.
Organization connector
One Google Cloud project and OAuth app can serve the team. Staff do not create Cloud projects or handle credentials: a Claude Owner publishes the connector once, then each registered Preview tester clicks Connect and authorizes their own Google account. Read the staff onboarding guide, administrator runbook, and pilot result.
The pilot deployment is developer-owned. Move the deployment, Redis store, secrets and administration to 80,000 Hours accounts before approving confidential documents.
Repository map
api/ Vercel HTTP transport
bin/ Local authorization and stdio entrypoints
src/ Shared MCP and Google Docs logic
test/ Protocol, passthrough, and token-refresh tests
docs/ Setup, security analysis, evidence, and guide images
archive/ Superseded documents retained for contextdocs/reproduce/ is the concise maintained path from decisive prompts through
method, scripts, inputs, and checks to the current output.
Verification
npm testThe test suite covers the preview schema, complete request forwarding, Docs-only scope metadata, canonical remote origins, redirect rejection, local token refresh, file permissions, OAuth challenges, and stateless protocol methods. Claude.ai, Claude Code and Claude Desktop have each passed live reads. The Claude.ai organization pilot created and recovered an anchored comment, its reply and a real unresolved suggestion, then the Google Docs UI was inspected.
Security status
Local tokens are plaintext JSON stored outside the repository with mode
600.Docs tool calls construct requests only for the fixed
docs.googleapis.comorigin; local OAuth separately contacts Google’s documented authorization and token endpoints.Tool annotations mark writes as destructive, but approval behavior is enforced by the MCP client. Configure per-call approval for writes.
The remote uses separate MCP and Google tokens. Google grants are encrypted at rest; Claude never receives the Google refresh token.
The pilot proved one member’s flow. A second user and organizational unit have not been tested.
The pilot host and Redis resources are still developer-owned. Organization ownership, admin-led offboarding, rate limits, monitoring and security review remain.
Read SECURITY.md, the organization-owned deployment decision, and the full threat model.
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Maintenance
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