google-workspace-mcp vs fetch
Side-by-side comparison to help you pick between these two MCP servers.
google-workspace-mcp by aaronsb | fetch by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 150 | ★ 85,748 |
| 30d uses | — | — |
| Score | 51 | 76 |
| Official | — | ✓ |
| Categories | ProductivityCommunicationCloud Storage | Web ScrapingAI / LLM ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | this month | this month |
google-workspace-mcp · Summary
A production-ready MCP server providing authenticated access to Google Workspace APIs including Gmail, Calendar, Drive, Sheets, and more.
fetch · Summary
An MCP server that fetches web content and converts HTML to markdown, allowing LLMs to read web pages.
google-workspace-mcp · Use cases
- AI assistants managing email triage and calendar scheduling through natural conversation
- Automating document workflows between Gmail, Drive, and Google Sheets
- Personal productivity AI handling cross-account operations between personal and work Google profiles
fetch · Use cases
- LLMs reading news articles and blogs
- Content analysis of web pages
- Retrieving information from public websites
- Chunked reading of large web documents
google-workspace-mcp · Install
MCPB Bundle (Recommended)
Download the .mcpb bundle for your platform from the [latest release](https://github.com/aaronsb/google-workspace-mcp/releases)
npm Installation
npm install @aaronsb/google-workspace-mcpClaude Desktop Configuration
Add to claude_desktop_config.json:
{
"mcpServers": {
"google-workspace": {
"command": "npx",
"args": ["@aaronsb/google-workspace-mcp"],
"env": {
"GOOGLE_CLIENT_ID": "your-client-id",
"GOOGLE_CLIENT_SECRET": "your-client-secret"
}
}
}
}Prerequisites
- Node.js 18+
- Google Cloud OAuth credentials from https://console.cloud.google.com/apis/credentials
fetch · Install
Installation
**Using uv (recommended)** No specific installation needed. Use uvx to run the server directly:
uvx mcp-server-fetch**Using PIP** Install via pip:
pip install mcp-server-fetchThen run as:
python -m mcp_server_fetchClaude Desktop Configuration
{
"mcpServers": {
"fetch": {
"command": "uvx",
"args": ["mcp-server-fetch"]
}
}
}