memory vs whoop-mcp
Side-by-side comparison to help you pick between these two MCP servers.
memory by modelcontextprotocol | whoop-mcp by shashankswe2020-ux | |
|---|---|---|
| Stars | ★ 85,748 | ★ 70 |
| 30d uses | — | — |
| Score | 77 | 49 |
| Official | ✓ | — |
| Categories | Knowledge GraphAI / LLM ToolsProductivity | healthfitnessAI / LLM Tools |
| Language | TypeScript | TypeScript |
| Last commit | this month | this month |
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
whoop-mcp · Summary
MCP server connecting AI assistants to WHOOP health and fitness data through OAuth2 authentication with 6 data tools.
memory · Use cases
- Personalizing AI assistant interactions by remembering user preferences, history, and relationships
- Building context-aware chat applications that maintain conversation history
- Creating knowledge bases that persist across AI model sessions
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
memory · Install
Installation
Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"memory": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-memory"
]
}
}
}VS Code
Use one-click installation buttons or manually configure in .vscode/mcp.json:
{
"servers": {
"memory": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-memory"
]
}
}
}Docker
{
"mcpServers": {
"memory": {
"command": "docker",
"args": ["run", "-i", "-v", "claude-memory:/app/dist", "--rm", "mcp/memory"]
}
}
}whoop-mcp · Install
Installation
Via MCP Registry:
Server name: io.github.shashankswe2020-ux/whoopVia 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