"Resources for foreign language learning" matching MCP servers:

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.

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.

Query Apple Health export data with an LLM via a semantic layer that avoids common data traps, enabling accurate natural-language queries about health metrics. Optionally imports CPAP therapy data for correlation.

Read-only MCP server enabling natural language querying of personal health and cultural activity scores from the health.ojimpo.com dashboard via Claude.

MCP server for the Oura Ring API v2, enabling natural language queries about sleep, readiness, activity, heart rate, and more.

Enables AI assistants to read and analyze Google Fit exported data (activities, daily metrics, workouts, sleep) from Google Takeout, providing tools for queries, resources, and coaching prompts.

Connects Claude to your Strava fitness data, enabling natural language queries about your training history such as activities, stats, and routes.

Connects Claude to your Strava account for analyzing training, predicting race times, and generating periodized training plans via natural language.

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.

Analyze iGPSport cycling data with natural language, computing derived training metrics (NP, IF, TSS, CTL, ATL, TSB) locally via MCP.

Connects personal API integrations like Hevy fitness and exposes them as MCP tools, resources, and prompts.

Enables analysis and retrieval of JEFit workout data through natural language. Provides access to workout dates, detailed exercise information, and batch workout analysis for fitness tracking and progress monitoring.

Provides access to Oura Ring health data including sleep, readiness, and resilience metrics through the Oura API, enabling language models to query and analyze personal health information.

Enables interaction with Strava's API to access and manage activities, athlete data, routes, segments, clubs, and gear through natural language.

Enables seamless interaction with MyWhoosh API for managing workouts, training sessions, and settings via natural language.

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.

This MCP server enables logging workouts in plain language through AI assistants and provides tracking of sessions, programs, records, estimated 1RM, and per-muscle load, with coaching informed by the user's logged data.

Provides comprehensive access to Strava API for marathon training and race analysis, enabling language models to query athlete data, analyze training patterns, track performance metrics, monitor heart rate zones, and detect injury risks.

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