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HuntsDesk/ve-gws

by Various

Google Workspace MCP that actually writes. 28 tools across Docs/Slides/Sheets/Drive — markdown-to-Docs, smart chips, data validation, recursive folder copy, revision restore.

H

MCP

HuntsDesk/ve-gws

Added 1 June 2026

#ai-agents #anthropic #claude-code #google-docs #google-drive #google-sheets #google-slides #google-workspace

Overview

ve-gws is an MCP server for Google Workspace that provides 28 tools for Docs, Slides, Sheets, and Drive. It supports write operations including markdown-to-Docs conversion, smart chip insertion, data validation, recursive folder copy, and revision restore.

Best for

Best for
Developers building AI agents that need programmatic write access to Google Workspace

Use cases

  • Convert markdown documents to Google Docs
  • Automate data validation rules in Sheets
  • Recursively copy Google Drive folders

Notes

ve-gws is an MCP server for Google Workspace that provides 28 tools for Docs, Slides, Sheets, and Drive. It supports write operations including markdown-to-Docs conversion, smart chip insertion, data validation, recursive folder copy, and revision restore.

1 stars on GitHub. Last updated 2026-04-19. Licensed MIT.

Use cases

  • Convert markdown documents to Google Docs
  • Automate data validation rules in Sheets
  • Recursively copy Google Drive folders

Pros

  • Enables full write access to Google Workspace via MCP
  • Covers multiple apps (Docs, Slides, Sheets, Drive) with 28 tools
  • Includes advanced features like smart chips and revision restore

Cons

  • Low star count (1) indicates early stage or limited adoption
  • Python-only implementation may restrict integration options
  • No included documentation on authentication or deployment overhead

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Enables full write access to Google Workspace via MCP
  • Covers multiple apps (Docs, Slides, Sheets, Drive) with 28 tools
  • Includes advanced features like smart chips and revision restore

Cons

  • Low star count (1) indicates early stage or limited adoption
  • Python-only implementation may restrict integration options
  • No included documentation on authentication or deployment overhead

Pairs with

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