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 enables users to access Strava fitness data, including user activities, activity details, segments, and leaderboards through a structured API interface.

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.

Connects Claude with the Intervals.icu API to retrieve fitness data including activities, workouts, wellness metrics, and training events.

A Model Context Protocol (MCP) server implementation that interfaces with the Hevy fitness tracking app and its API. This server enables AI assistants to access and manage workout data, routines, exercise templates, and more through the Hevy API (requires PRO subscription).

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

Connects to Garmin Connect and exposes your fitness and health data (activities, sleep, heart rate, steps, body composition) to Claude and other MCP-compatible clients.

A Claude MCP server that lets users query and analyze their Strava activity data by connecting to the Strava API.

Integration Strava API с Model Context Protocol SDK

A Model Context Protocol server that provides language models with access to personal Whoop fitness data, allowing queries for cycles, recovery, strain, and workout information from the Whoop API.

A Model Context Protocol server for tracking personal health and well-being, offering tools for workout logging, nutrition management, and daily journaling with AI-assisted analysis integration.