mcp-gsheets and google-workspace-mcp

The first tool, `freema/mcp-gsheets`, is a specialized MCP server for Google Sheets, while the second, `dguido/google-workspace-mcp`, is a broader MCP server covering multiple Google Workspace applications, making them **competitors** if the user only needs Google Sheets functionality, but the second tool is a more comprehensive solution if the user requires integration across several Google Workspace services.

mcp-gsheets
69
Established
google-workspace-mcp
28
Experimental
Maintenance 10/25
Adoption 17/25
Maturity 24/25
Community 18/25
Maintenance 0/25
Adoption 7/25
Maturity 11/25
Community 10/25
Stars: 52
Forks: 12
Downloads: 5,639
Commits (30d): 0
Language: TypeScript
License: MIT
Stars: 38
Forks: 4
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
No risk flags
Archived No Package No Dependents

About mcp-gsheets

freema/mcp-gsheets

MCP server for Google Sheets - Read, write and manipulate spreadsheets through Claude Desktop

Supports batch operations, formatting, charts, and conditional formatting through the Google Sheets API. Implements MCP protocol with flexible authentication via file-based credentials, JSON strings, or simplified private key configuration, making it compatible with Claude Desktop, Claude Code, Cursor, and other MCP clients. Built in TypeScript with comprehensive error handling and full test coverage for production use.

About google-workspace-mcp

dguido/google-workspace-mcp

MCP server for Google Drive, Docs, Sheets, Slides, Calendar, Gmail, and Contacts

Implements MCP (Model Context Protocol) as a Claude Desktop plugin with OAuth 2.0 authentication, automatic token refresh, and selective service enablement via environment variables. Provides 80+ tools across Google Workspace APIs including file operations, document editing, email search/filtering, calendar scheduling, and contact management. Supports token-optimized output (TOON) format to reduce LLM token consumption by 20-50% on list operations.

Scores updated daily from GitHub, PyPI, and npm data. How scores work