What is google_workspace_mcp?

64/100
Trust Score (C+)
⚠️ Use Caution

google_workspace_mcp is a infrastructure that Control Gmail, Google Calendar, Docs, Sheets, Slides, Chat, Forms, Tasks, Search & Drive with AI - Comprehensive Google Workspace / G Suite MCP Server & CLI Tool. It has a Nerq Trust Score of 64/100 (C+). 1.5K GitHub stars. Published by taylorwilsdon. Last analyzed May 2026.

Why This Score

Trust & Safety Overview

64
TRUST SCORE
C+
GRADE
1.5K
STARS
0
DOWNLOADS

What google_workspace_mcp Does

google_workspace_mcp is a mcp_server in the infrastructure category. Control Gmail, Google Calendar, Docs, Sheets, Slides, Chat, Forms, Tasks, Search & Drive with AI - Comprehensive Google Workspace / G Suite MCP Server & CLI Tool. It is published by taylorwilsdon and has no specified license. With 1.5K GitHub stars and 0 downloads, it has a growing community of users and contributors.

Who Should Use google_workspace_mcp

google_workspace_mcp is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

Authortaylorwilsdon
Categoryinfrastructure
LicenseNot specified
Typemcp_server
SourceView on GitHub
Security Score1/100
Activity Score1/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=taylorwilsdon-google-workspace-mcp

Setup guide · Full safety report · Production review · Is it safe?

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Frequently Asked Questions

What is google_workspace_mcp used for?
google_workspace_mcp is a infrastructure tool. Control Gmail, Google Calendar, Docs, Sheets, Slides, Chat, Forms, Tasks, Search & Drive with AI - Comprehensive Google Workspace / G Suite MCP Server & CLI Tool.
Is google_workspace_mcp free?
License: Check project page. google_workspace_mcp has 1.5K GitHub stars.
Is google_workspace_mcp safe?
google_workspace_mcp has a Nerq Trust Score of 64/100 (C+). Use with caution.
What are alternatives to google_workspace_mcp?
Top alternatives: n8n, langflow, dify. See full comparison.

Last updated May 2026. Trust scores based on automated analysis of public data.

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