FeelFit MCP Server
MCP (Model Context Protocol) server for accessing body composition data from FeelFit smart scales. Supports multiple accounts.
Features
- Multi-account support
- Body composition measurements (weight, body fat, BMI, muscle mass, bone mass, water, protein, visceral fat, metabolic rate, body age)
- Device management (bound scales)
- Health goals
- Automatic authentication with token caching
Tools
| Tool | Description |
|---|---|
list_accounts | List configured accounts and auth status |
login | Authenticate account(s) |
get_profile | Get user profile |
get_measurements | Get all body composition measurements |
get_latest_measurement | Get most recent measurement |
get_devices | List bound smart scales |
get_goals | Get health goals |
get_all_data | Get complete data dump |
Setup
1. Install dependencies
pip install -r requirements.txt
2. Configure accounts
Create ~/.config/feelfit-mcp/config.json:
{
"accounts": [
{"email": "user@example.com", "password": "your_password"}
]
}
Or set the FEELFIT_CONFIG environment variable to a custom path.
3. Add to Claude Desktop / Claude Code
{
"mcpServers": {
"feelfit": {
"command": "python3",
"args": ["/path/to/mcp-feelfit/server.py"]
}
}
}
How it works
The server connects to the FeelFit Cloud API (feelfit.qnclouds.com) using the same protocol as the Android app. Passwords are encrypted with RSA before transmission. Authentication tokens are valid for 180 days.
License
MIT