garmin-connect-mcp vs memory
Side-by-side comparison to help you pick between these two MCP servers.
garmin-connect-mcp by eddmann | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 36 | ★ 85,748 |
| 30d uses | — | — |
| Score | 41 | 77 |
| Official | — | ✓ |
| Categories | healthProductivityDeveloper Tools | Knowledge GraphAI / LLM ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 6 mo ago | this month |
garmin-connect-mcp · Summary
A fully-featured MCP server providing comprehensive tools for Garmin Connect data access.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
garmin-connect-mcp · Use cases
- Analyze training performance and trends over time
- Get detailed activity insights including splits and heart rate zones
- Monitor health metrics like sleep quality and body battery
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
garmin-connect-mcp · Install
Installation
Option 1: Using UV
cd garmin-connect-mcp
uv syncCreate a .env file with your credentials:
GARMIN_EMAIL=your-email@example.com
GARMIN_PASSWORD=your-passwordOption 2: Using Docker
docker pull ghcr.io/eddmann/garmin-connect-mcp:latestCreate garmin-connect-mcp.env with your credentials.
Claude Desktop Configuration
{
"mcpServers": {
"garmin": {
"command": "uv",
"args": [
"run",
"--directory",
"/ABSOLUTE/PATH/TO/garmin-connect-mcp",
"garmin-connect-mcp"
]
}
}
}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"]
}
}
}