"Comment perdre du poids (How to lose weight)" matching MCP servers:

An MCP server and CLI for logging food to Lose It!, enabling food search, diary management, meal logging, and weight recording via unofficial API.

Read-only Model Context Protocol server for Withings weight and body-composition history, providing normalized measurements, weight history, and latest measurements via OAuth 2.0.

Fetches body composition data (weight, body fat percentage) from the Tanita Health Planet API and exposes it as MCP tools for AI agents like Claude Desktop.

Enables AI assistants to access and analyze Fitbit health data (activity, sleep, heart rate, weight, profile) via natural language through the Fitbit Web API.

Enables AI assistants to search foods and recipes, track diet, manage weight, and log exercise using the FatSecret Platform API.

MCP server that connects Garmin Connect to Claude Desktop, allowing users to query health and fitness data (sleep, workouts, heart rate, HRV, stress, Body Battery, etc.) in plain English and also log weight, hydration, and schedule workouts.

Local-first MCP server that connects AI agents to your Fitbit activity, sleep, heart-rate, HRV, SpO2 and weight data.

Enables searching FatSecret's food and recipe database, and managing personal food diary, weight, exercise, saved meals, and favorites, with multi-user support and secure OAuth authentication.

A Model Context Protocol server that provides language models with access to Strava API data, allowing them to query and analyze athlete activities from Strava.

Provides access to body composition data from Renpho smart scales, enabling users to query weight, BMI, body fat percentage, muscle mass, and other health metrics with trend analysis over customizable time periods.

Enables Claude to access and analyze Suunto sports watch data, allowing users to ask natural-language questions about their workouts, training metrics, and history.

Enables Claude to access your MyFitnessPal diary—foods, portions, meal and daily nutrition totals, water, exercise, steps, and weight—through a custom connector on web, desktop, and mobile.

A Python-based Model Context Protocol server that provides AI assistants with access to Oura Ring health and fitness data across 15+ endpoints. It enables querying metrics like sleep, activity, readiness, and cardiovascular health through simple authentication and date-range filtering.

Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.

Connects WHOOP fitness and recovery data to Claude Desktop, enabling users to query workouts, sleep, recovery, and trends through natural language.

MCP server for read-only access to Xiaomi Mi Fitness shared family health data, enabling queries for family members, health summaries, and historical metrics via ChatGPT.

Connects to Garmin Connect and exposes your fitness and health data to OpenWebUI, Claude, or any MCP-compatible client via Streamable HTTP transport.

Enables AI assistants to access Oura Ring health data including sleep, readiness, activity, heart rate, and workouts through MCP tools with OAuth2 authentication.

Enables AI assistants to access your Oura Ring health data through OAuth2-authenticated API calls.

Enables users to query Garmin health, activity, sleep, HRV, and training data through read-only MCP tools from ChatGPT or Codex.