Connect AI to Google Docs for document search, reading, creation, and updates.
This tool is described as an MCP server for connecting to Google Docs, with capabilities to list, read, create, update, search, and delete documents. It is open-source and no explicit remote endpoint or credential requirement is documented, but it still implies local execution and high-impact document operations, while documentation and community adoption are limited, so the overall posture is caution.
The material states there are no required keys/environment variables, but connecting to Google Docs commonly requires Google account authorization or related credentials in practice. The authentication method is undocumented, which makes credential handling unclear, though no explicit credential abuse red flag is shown.
The stated functionality implies interaction with Google Docs-related services for searching, reading, creating, updating, and deleting documents; this means document content and queries may be sent to the corresponding cloud service. Specific hosts are not listed, reducing transparency, but there is no evidence of data being sent to unrelated or unknown endpoints.
The system check indicates this MCP tool executes code, meaning a local service/process runs on the machine. This is a normal MCP/tool capability; the available material does not show requests for unusual system privileges or dangerous actions unrelated to its stated purpose.
By description, it can list, read, create, update, search, and delete Google Docs documents, giving it broad data access and modification scope, including high-impact delete actions. These permissions are generally aligned with its stated purpose, but users should ensure access can be limited to the minimum necessary document scope.
The source is a third-party registry entry, and the repository is open-source under the MIT License, which is a positive auditability signal. However, the absence of a README, 0 stars, and unknown maintenance status reduce verifiability and maturity, so cautious use is appropriate rather than a high-risk classification.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP-Google-Doc" yet — see the docs or source repo.
Connect to my Google Docs, find documents with titles containing "project weekly report", read the latest four, summarize this week's progress, and create a new Google Doc with the result.
A progress summary is returned and a new consolidated Google Doc is created.
Find all Google Docs with titles containing "meeting notes template", change "2024" to "2025" in the header, and list the updated document names.
The templates are updated and a list of affected documents is provided.
Search my Google Docs for the keyword "user interview" and list relevant files; if drafts have the same title and highly duplicated content, mark them and delete the older versions.
A list of relevant documents is returned, and older duplicate drafts are removed.
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Work with Google Docs and Gmail to append content and draft emails.
Connect Google Docs and Gmail to edit documents and draft emails with approvals.
Append to Google Docs and create Gmail drafts with human approval.
Read and write Google Sheets and Docs for automated data and document workflows.
Connect Gmail and Google Docs via MCP for email and document workflows.