"PageSpeed Insights" matching MCP servers:

Aggregates and analyzes fitness data from multiple sources like Whoop and Strava through a modular adapter architecture. It enables users to monitor health metrics, track activities, and gain insights into sleep, recovery, and training performance.

Enables AI assistants to query a user's own Garmin Connect training, health, and recovery history through Garmin's official Personal API, backed by a local cache and built-in analysis tools.

Enables AI agents to securely read and analyze your Google Health data from Fitbit, Pixel Watch, and Health Connect, providing baseline-aware insights, readiness scores, trends, and anomalies while keeping data local and read-only.

Exposes real-time health data from the Ultrahuman Ring to AI agents via the Model Context Protocol, providing optimized summaries with trend analysis and actionable insights.

Enables AI agents to search 1,900+ exercises with video and media links, generate workouts and multi-week programs, explore evidence-rated supplements, and use developer tools for API modeling, debugging, and usage insights.

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.

Enables AI assistants to access and analyze intervals.icu training data including activities, fitness metrics (CTL/ATL/TSB), wellness stats, and calendar events. Supports natural language querying of athletic performance for training insights and workout planning.

Enables AI agents to query gym analytics—class attendance, trainer performance, and revenue insights—from existing CCTV camera feeds without new hardware.

Enables users to interact with their Strava data through natural language to analyze workouts, track fitness progress, and explore routes. It supports retrieving detailed activity stats, heart rate data, and segment insights directly within AI assistants.

Connects your Oura Ring to AI assistants like Claude, providing human-readable insights about sleep, readiness, activity, and health metrics with smart analysis.

Integrates with Garmin Connect to retrieve activity data, health metrics, and provide AI-powered training insights and personalized coaching recommendations based on your fitness activities and performance trends.

Enables Claude, Codex, and GitHub Copilot users to query read-only WHOOP recovery, sleep, HRV, strain, workouts, and personal health analytics through natural language. It provides baselines, trends, readiness insights, and local dashboard views without modifying the user's WHOOP account.

MCP server that mirrors your Garmin data into a personal database and exposes tools for health summaries, training load, muscle readiness, and race analysis, with optional chat-driven insights via stdio or HTTP.

Provides LLMs with access to Oura Ring health data including sleep metrics, activity tracking, heart rate, readiness scores, and other wellness insights through the Oura API v2.

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.

Enables Claude, Codex, and GitHub Copilot to query WHOOP recovery, sleep, HRV, strain, and workouts through read-only tools, including daily summaries, personal baselines, trends, and HYROX/triathlon performance insights.

An MCP server that connects Claude to intervals.icu training data, enabling advanced physiological analysis, activity and wellness management, and conversational insights using proprietary metrics like CCI and HRV correction.

Connect Pelaris to any MCP-compatible AI assistant for personalised fitness coaching. Plan training programs, log workouts, track benchmarks, manage goals, and get data-driven coaching insights. Supports science-based methodologies including 5/3/1, Pfitzinger, polarised training, and more. OAuth 2.0 authentication with Streamable HTTP transport. Documentation: https://pelaris.io/integrations Web

Enables AI assistants to access and analyze Oura Ring health data including sleep, readiness, activity, and stress metrics. Supports customizable queries, correlation analysis, and visualization capabilities for comprehensive health insights.

Turns your Garmin watch into a sailing analytics tool by combining GPS data from Garmin Connect with historical weather data, providing insights like speed, VMG, wind conditions, and interactive maps.

Enables LLMs to access and analyze biometric and training data via MCP, supporting queries on sleep, performance, nutrition, and training load to generate adaptive training insights.

Enables analysis of FitNotes workout data through an LLM, providing insights on progress, muscle groups, and personalized recommendations.