"Self-Training Coder Resources and Tools" matching MCP servers:

A stateless MCP server that exposes tools for evidence-based strength training, including classical powerlifting programs and fatigue management.

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.

Enables Claude to read intervals.icu training data — wellness metrics, completed activities with per-lap and time-series detail, and planned events with planned-versus-completed reconciliation — and to create, update, or delete planned run and bike workouts on the intervals.icu calendar, which syncs to Garmin Connect. Writes are guarded by dry-run defaults and explicit approval.

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

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.

Provides personalized recommendations for optimal outdoor exercise times by integrating weather data, Garmin Connect training schedules, and user performance metrics.

Enables AI clients to query and analyze Huawei Health data, including training records, sleep, heart rate, and athletic performance, through 14 MCP tools without third-party servers.

Privacy-first MCP server for querying personal health and finance data with AI. Built with Python, FastMCP, and SQLite. Local-first and open source.

Enables AI assistants to find coach-built training programs, coaching brains, races, gyms, classes and sports clinics, preview and build workouts with exercise demos, swap exercises, and plan around a sport or race. With OAuth it can also save workouts and programs, send coach notes to members, and read a member's logged history, planned sessions and lift progress.

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 local, read-only access to Garmin Connect training and wellness data, including activities, sleep, HRV, and daily summaries, for client-side analysis through stdio.

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

Enables MCP clients and AI agents to invoke deterministic fitness calculators for BMR/TDEE, body fat, one-rep max, macros, activity multipliers, powerlifting attempts, and natural muscular potential. Each tool reports consensus across published formulas, supporting consistent fitness and training analysis.

Enables a personal agent to read selected live Garmin Connect activity, readiness and device fields and, only after explicit approval of an exact preview, to create, schedule and request device synchronization of one fixed 20-minute running connectivity test over stdio. Login credentials never enter the model-facing tool surface, and no other workouts can be created, edited or deleted.

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.

Enables AI agents to access and manage fitness programs, exercise catalog, workout resources, activity metrics, journaled plan edits, and change tracking through authenticated tools.

Self-hosted Intervals.icu MCP server: training analytics, custom fields, streams and Garmin data.

Enables users to search and retrieve fitness exercise information from the Api Ninjas database. It supports filtering by exercise name, target muscle, type, and difficulty level.

Self-hosted fitness tracking MCP server that gives AI assistants access to your nutrition, training, weight, sleep, and accomplishment data via 77 tools and 5 resources. Enables natural-language logging and querying of personal health metrics through Claude or ChatGPT.

Enables AI clients to query self-hosted Apple Health summaries, history, sleep, training load, workouts, period comparisons, ingestion status, and metric recomputation through typed tools, resources, and prompts.