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tecnologicachile

FeelFit MCP Server

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

Related MCP server: Withings MCP Server

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

F
license - not found
-
quality - not tested
D
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

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