Enables Claude to answer natural language questions about your Apple Health data by analyzing local CSV exports, supporting metrics like steps, heart rate, sleep, and more.
Provides local MCP tools to query your own Xiaomi Mi Fitness health data (sleep, workouts, heart rate, etc.) stored in a local SQLite database, enabling AI assistants to access personal health records without exposing credentials.
Enables Claude to act as a personal health coach by connecting to Garmin wearable data and Notion workspace for automated calorie tracking, photo food logging, and coaching insights.
Connects WHOOP fitness data to Poke AI assistant, enabling natural language queries for recovery scores, sleep analysis, strain tracking, and healthspan metrics.
Exposes over 90 Garmin Connect tools for tracking activities, health metrics, and training data through the Model Context Protocol. It is optimized for Poke compatibility and supports deployment to Render via HTTP.
Exposes the Oura API v2 as an MCP server with tools to query all 19 data collections (e.g., sleep, heartrate) with automatic pagination and explicit truncation warnings.
MCP server for Cronometer nutrition tracking using the mobile API. Enables food logging, nutrition data retrieval, diary management, and fasting tracking.
A Model Context Protocol (MCP) server for Garmin Connect integration. Access your activities, health data, training metrics, and more through Claude and other LLMs.
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.
Exposes real-time health data from the Ultrahuman Ring to AI agents via the Model Context Protocol, providing optimized summaries with trend analysis and actionable insights.
MCP server that connects AI agents to Intervals.icu, enabling access to training data such as activities, wellness metrics, calendar events, gear, power curves, and custom items. Includes a running coach AI template for automated post-session analysis.
Local MCP server that reorders YouTube Music playlists for running, using YouTube Data API to read, validate, and reorder tracks with dry-run and safe copy creation.
A Model Context Protocol (MCP) server for Intervals.icu integration. Access your training data, wellness metrics, and performance analysis through Claude and other LLMs.
A Model Context Protocol (MCP) server that provides comprehensive access to Garmin Connect data including sleep analytics, health metrics, activities, and training volume analysis.
A TypeScript server that acts as a bridge to the Strava API, enabling LLMs to access users' activities, routes, segments, and athlete data through natural language interaction.
Enables LLMs to retrieve and analyze sleep, recovery, and physiological cycle data from the WHOOP API. It provides tools for accessing detailed metrics such as strain, HRV, and readiness scores through secure OAuth 2.0 authentication.
A local, read-only Model Context Protocol server for an athlete's Strava profile and activities, enabling retrieval of profile data, activity lists (with paging and date filters), and detailed activity information via standard input/output for MCP hosts.