"Web Page Content" matching MCP servers:

MCP server for the Fitbit Web API with OAuth PKCE, local cache, and trend analysis.

fulcra-context-mcp

An AI-powered running coach that connects Claude to your Strava data, providing personalized training plans, progress tracking, and coaching feedback through a web dashboard.

Enables AI assistants to access and analyze Fitbit health data (activity, sleep, heart rate, weight, profile) via natural language through the Fitbit Web API.

Enables Claude to access your MyFitnessPal diary—foods, portions, meal and daily nutrition totals, water, exercise, steps, and weight—through a custom connector on web, desktop, and mobile.

MCP server providing full read/write access to Whoop wearable data, including recovery, sleep, workouts, journal, and more, via Whoop's private iOS API.

A Model Context Protocol (MCP) server that connects AI assistants to your MyFitnessPal data, enabling reading food diaries, nutrition goals, weight measurements, and more via MFP's web scraping.

MCP server that connects Claude and ChatGPT to the Intervals.icu API, enabling retrieval and management of activities, events, wellness data, power curves, and custom items.

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

A personal remote MCP gateway that exposes Garmin Connect, Home Assistant, and YouTube as MCP servers over HTTP, allowing Claude or any MCP client to query and control them from anywhere without local credentials. It includes a web UI for managing credentials and issuing API keys, with authentication delegated to an external SSO.

This MCP server enables the generation of structured fitness content, including detailed exercise instructions with image prompts, balanced daily workout sessions, and personalized multi-day training plans. It facilitates the creation of comprehensive workout programs tailored to specific goals, age ranges, and movement patterns.

Exposes tools for weekly fitness summaries and acute:chronic workload ratio from Apple Watch data via Health Auto Export, plus a web dashboard for filtering and comparison.

Enables agents to track workouts, body metrics, and training stats for registered users through a JSON-RPC MCP endpoint, with scoped agent permissions and a web dashboard.