"An MCP server for searching public repositories of MCP and LLM tools and skills" matching MCP servers:

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.

MCP server for tracking nutrition meals and workouts, integrating with claude.ai to manage food logs, macros, exercise catalogs, and generate daily/weekly summaries.

Enables AI agents to search foods, get nutritional breakdowns, and estimate exercise calories using the Nutritionix API through natural language input.

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.

A Model Context Protocol server for TrainingPeaks with an analytics focus — enabling real-time querying of training data, performance trends, CTL/ATL/TSB analysis, and training load optimization through Claude Desktop.

Enables AI agents like Claude Desktop, Cursor, and VS Code to connect directly to COLMI R02/R03 and compatible smart rings over local Bluetooth LE, exposing tools for ring scanning, battery and firmware status, activity and sleep/recovery insights, real-time heart rate and SpO2 vitals, 3-axis motion sampling, clock sync, and physical LED blinking. Runs fully locally with no vendor cloud, accounts, or subscriptions.

An MCP server for the Polar AccessLink API. Connect your Polar fitness data to Claude AI - access workouts, sleep analysis, recovery metrics, heart rate data, and more.

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.

Enables retrieval and analysis of MyFitnessPal nutrition data including daily summaries, meal breakdowns, exercise tracking, and macro/micronutrient analysis. Uses browser cookie authentication to access your personal MyFitnessPal account data through natural language queries.

Enables access to Hevy strength-training data—workouts, routines, exercise history, and progression—via an MCP server with per-user credential encryption and optional write support.

Model Context Protocol (MCP) server that allows AI assistants to access and analyze your OpenStride training data.

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.

Enables LLMs to read and write Hevy workout tracking data, including workouts, routines, exercise templates, per-exercise history, and body measurements through all 15 Hevy public API endpoints.

Provides full access to the Hevy public API, enabling users to manage workouts, routines, routine folders, exercise templates, exercise history, and body measurements through natural language. Supports both local stdio and remote HTTP MCP deployments.

MCP server to interact with Garmin Connect, enabling retrieval of health, activity, and device data through natural language.

Read-only MCP server for accessing glucose readings, charts, logbook, and statistics from LibreLink Up sensors, supporting any MCP client.

Enables Claude to access and analyze Whoop recovery, sleep, strain, and workout data through MCP tools, including trends and manual syncs.

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

A read-only MCP server that provides Claude Desktop with access to Garmin Connect running, strength-training, and calorie data via direct API calls.

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