fetch vs whoop-mcp

Side-by-side comparison to help you pick between these two MCP servers.

	fetch by modelcontextprotocol	whoop-mcp by shashankswe2020-ux
Stars	★ 85,748	★ 70
30d uses	—	—
Score	76	49
Official	✓	—
Categories	Web ScrapingAI / LLM ToolsProductivity	healthfitnessAI / LLM Tools
Language	TypeScript	TypeScript
Last commit	this month	this month

fetch · Summary

An MCP server that fetches web content and converts HTML to markdown, allowing LLMs to read web pages.

whoop-mcp · Summary

MCP server connecting AI assistants to WHOOP health and fitness data through OAuth2 authentication with 6 data tools.

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

whoop-mcp · Use cases

Ask AI questions about your weekly recovery scores and sleep quality
Get workout summaries and performance metrics through natural conversation
Track physiological cycles and body measurements over time

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-fetch

Then run as:

python -m mcp_server_fetch

Claude Desktop Configuration

{
  "mcpServers": {
    "fetch": {
      "command": "uvx",
      "args": ["mcp-server-fetch"]
    }
  }
}

whoop-mcp · Install

Installation

Via MCP Registry:

Server name: io.github.shashankswe2020-ux/whoop

Via Claude Desktop: Add this to your Claude Desktop configuration:

{
  "mcpServers": {
    "whoop": {
      "command": "npx",
      "args": ["whoop-ai-mcp"],
      "env": {
        "WHOOP_CLIENT_ID": "your_client_id",
        "WHOOP_CLIENT_SECRET": "your_client_secret"
      }
    }
  }
}

Global installation:

npm install -g whoop-ai-mcp

Comparison generated from public README + GitHub signals. Last updated automatically.