"Analyzing data in OpenSearch" matching MCP servers:

MCP server that lets you ask questions about your Garmin training history in plain language. It ingests FIT files into DuckDB locally and exposes typed tools for analyzing activities, streams, and summaries.

Ask your Oura Ring about sleep, readiness, activity, stress and heart rate in ChatGPT or Claude, in any language. Read-only, 10 task-oriented tools; runs in a sandbox demo mode with no credentials.

A local MCP server that caches Garmin Connect data in SQLite for fast, read-only queries, with tools for bulk import, rate-limited sync, and failure alerts.

Provides read-only access to a China-region Garmin Connect account, enabling retrieval of daily summaries, sleep, heart rate, HRV, training readiness, body battery, and activity data.

Enables AI assistants to access and modify a user's real GymTimer workout and nutrition data stored in private iCloud, allowing natural-language queries about training history and the creation of workout templates and meal plans.

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

Enables AI agents to interact with a personal YAZIO nutrition diary, including searching products, reading and writing diary entries, and analyzing nutrition trends.

Enables querying and analyzing sports activities from Strava and Garmin Connect, including sleep and recovery data.

Exposes your Garmin Connect data (activities, sleep, recovery, training status) to Claude in read-only mode.

A production-ready MCP server for the Hevy fitness API that exposes 27 tools for reading, writing, and analyzing workout data, enabling LLM-driven personal trainer workflows.

Enables access to WHOOP fitness and health data through all WHOOP v2 API endpoints. Supports OAuth 2.0 authentication and provides comprehensive access to user profiles, physiological cycles, recovery metrics, sleep analysis, and workout data.

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 reading and syncing Xiaomi Mi Fitness health data (steps, heart rate, sleep, workouts) from the Chinese cloud region to a local SQLite database via MCP tools.

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.

Enables Claude.ai to read your MacroFactor nutrition data and log food back into MacroFactor.

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.

Enables Claude to read your Whoop recovery, sleep, cycle, and workout data through natural language queries.

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

MCP server that turns any MCP-compatible LLM client into a wellness coach grounded in verified public data, offering nutrition, exercise, biometric, and preventive care tools with safety guardrails.