"Reliable sources for use in training language models" matching MCP servers:

Provides comprehensive access to Strava API for marathon training and race analysis, enabling language models to query athlete data, analyze training patterns, track performance metrics, monitor heart rate zones, and detect injury risks.

Running-first MCP server for COROS that allows authoring, editing, and scheduling running workouts, plus accessing sleep, HRV, training load, and activity exports.

Connect Claude to XERT cycling analytics - access fitness signature (FTP, LTP, HIE), training load, workouts, and activities.

MCP server for TrainingPeaks that reads workouts, fitness metrics (CTL/ATL/TSB), and health data, and creates/updates/deletes planned workouts. Enables AI-powered training plan management and automated adjustment based on performance, fatigue, and injury.

Standalone Model Context Protocol server for PropProfessor, plus a small query CLI for local analysis.

An MCP server that lets Claude plan cycling training in intervals.icu, upload workouts to the calendar, and review planned versus actual outcomes, fitness trends, and power curves.

Provides Claude Code and Claude Desktop with safe, read-only access to your local Garmin training data, readiness decisions, run details, and trends so you can get coaching advice in natural language.

Enables AI assistants to read your Strava training data and answer plain-language questions about activities, splits, and totals across sports like running, skiing, and hiking.

Enables AI assistants to read your SisRUN training plan with your own credentials and answer questions about prescribed workouts, like weekly coach plans, in a structured format.

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 to query Matrix / Johnson Fitness ride history, exposing per-10-second power, cadence, resistance and heart-rate samples plus cross-ride views like power curves, training volume, and ride comparisons. Runs over a cached history downloaded without credentials, or signs in once to refresh it.

Enables chat to query cycling training data from Intervals, including athlete profiles, activities, wellness, and calendar events, via read-only tools.

Connects Claude to your Strava fitness data, enabling natural language queries about your training history such as activities, stats, and routes.

Provides comprehensive running performance calculations including VDOT, training paces, race time predictions, velocity markers, and heart rate zones using Jack Daniels, Greg McMillan, and Riegel methodologies.

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 natural-language access to Intervals.icu training data, wellness metrics, activities, events, and workout management through MCP-compatible clients.

Exposes the Camptocamp.org API to LLMs, enabling querying of alpine routes, summit altitudes, and course descriptions with reliable data to avoid hallucinations.

Connects Strava training data to Claude, enabling personalized coaching through analysis of training load, workout planning, gear maintenance, and power metrics.

86 running calculators, 29 marathon events, pace/time/distance calculations, race time predictions, and heart rate training zones for AI agents.

A lightweight Garmin Model Context Protocol server with 12 curated endpoints for endurance athletes, enabling natural-language queries of activity, training, health, device, and goal data from Garmin Connect.