Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@FeelFit MCP ServerWhat's my latest weight and body fat percentage?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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 configured accounts and auth status |
| Authenticate account(s) |
| Get user profile |
| Get all body composition measurements |
| Get most recent measurement |
| List bound smart scales |
| Get health goals |
| Get complete data dump |
Setup
1. Install dependencies
pip install -r requirements.txt2. 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
This server cannot be installed
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.