"A server for finding people in X" matching MCP servers:

A local-first, read-only MCP server that provides compact recovery, sleep, strain, HRV, heart-rate, workout, and body-measurement data from WHOOP without sending credentials to a third party.

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.

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.

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.

An MCP server specialized in managing and querying gym exercises through a centralized database. It enables users to search for workouts by name or muscle group and retrieve detailed information including sets, repetitions, and rest intervals.

MCP server for Garmin Connect that enables users to access and manage their personal health and fitness data, including daily summaries, heart rate, sleep, HRV, stress, body composition, activities, and training readiness, with secure per-user authentication.

A Model Context Protocol (MCP) server that provides AI assistants with access to the Hevy fitness tracking API. This allows you to log workouts, manage routines, browse exercises, and track your fitness progress directly through AI chat interfaces.

A Model Context Protocol server that enables language models to interact with Strava data, including activities, athlete statistics, routes, achievements, and social features.

MCP server over the YAZIO food diary that lets a model read what you've eaten today, log meals, build recipes from tracked products, track water, weight and exercise, and query nutrition summaries, goals and profiles.

Read-only MCP server that exposes Apple Health data (steps, workouts, sleep, etc.) from a local SQLite store, allowing AI agents to query health metrics without sending data to hosted services.

Enables interaction with the Google Health API v4 using a user's OAuth grant, exposing tools for profiles, settings, paired devices, raw data points, reconciliation, rollups, and exercise export.

A Model Context Protocol (MCP) server that provides AI assistants with structured, semantic access to your Oura Ring health data.

Enables AI assistants to query Oura Ring health data (sleep, readiness, activity, heart rate, SpO2, stress) via a remote MCP server.

Connects Claude to a user's Whoop account so it can retrieve recovery scores, HRV, sleep stages, strain, and workout history, plus trigger data syncs and OAuth authorization. Deployable as a self-hosted remote connector that caches 90 days of health data in SQLite for trend analysis.

Official MCP server for exerciseapi.dev — give your AI coding agent direct access to 2,198+ vetted exercises across 12 categories.

Connects WHOOP fitness data to Poke AI assistant, enabling natural language queries for recovery scores, sleep analysis, strain tracking, and healthspan metrics.

MCP server that exposes Whoop API v2 data as tools, enabling natural language queries for cycles, recovery, sleep, workouts, and profile.

Enables AI assistants to interact with the Hevy fitness tracking API for logging workouts, managing routines, and tracking fitness progress.

MCP server that exposes health metrics from the Sapphire Wellness App to AI assistants, enabling natural language queries for activity, blood pressure, glucose, heart rate, sleep, and SpO2 data.

Connects Claude Desktop to your Garmin Connect running data stored locally in SQLite, enabling querying, syncing, and AI analysis of fitness activities.