"Coding tools to understand and manage a large codebase like MCP, CLINE, or ROOCODE" matching MCP servers:

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 AI agents to discover live and recent football matches, scores, and fan clips on Vublox. Supports searching by team, league, or keyword and retrieving match summaries.

This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.

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.

Provides live football data through MCP tools, enabling users to fetch today's matches and top scorers for competitions like the Premier League or World Cup.

Provides AI-powered sports analytics for Daily Fantasy Sports (DFS) with real-time player projections, lineup optimization, live odds aggregation from multiple sportsbooks, and SHAP-based explainability to understand recommendation reasoning.

Enables AI assistants to query Formula 1 sessions, laps, telemetry, stints, pit stops, positions, weather, race control and championship data from the OpenF1 API (2023 onwards), plus composite tools for race summaries, tyre strategies and multi-driver fastest-lap comparisons. It is read-only, caches and throttles requests, and samples or summarizes oversized results so large telemetry payloads stay manageable for the model.

Exposes an athlete's training data — activities, streams, power curves, wellness records, calendar events, workouts, gear and routes — to MCP clients such as Claude, with 20 read-only tools plus two that can update wellness entries and create calendar events. Responses are downsampled, field-trimmed and credential-stripped so large datasets stay usable within a model's context.

A unified MCP server that combines The Odds API and SportMonks Football API v3 to provide 28 tools for sports data like odds, scores, fixtures, standings, and predictions, enabling Claude to interact with a wide range of sports information.

Provides access to official MLB statistics via a keyless API, enabling AI agents to query MLB data through natural language or direct tools.

Enables Formula 1 data analysis through natural language, providing tools like track dominance, lap time analysis, and team performance comparisons.

Connects AI agents to Garmin Connect so they can read fitness data (activities, sleep, steps, heart rate, weight, workouts, profile) and schedule or manage Garmin Calendar workouts with an explicit confirmation flow.

Enables access to published fantasy basketball and football rankings and player projections through a read-only remote MCP server, with tools for week, season, and player rankings and projections.

Enables interaction with Yahoo Fantasy Sports API for fantasy baseball, providing tools to manage rosters and player stats via Claude.

Enables AI models to manage and query fantasy sports leagues through the Sleeper API, supporting tasks like player lookups, league activity, and draft management.

Bridges local stdio MCP clients like Codex and OpenCode to Strava's official MCP endpoint, enabling Strava data access via imported OAuth credentials from Claude Code without a developer app.

Enables read-only access to WHOOP recovery, sleep, HRV, strain, workout, and race-performance data so assistants like Claude, Codex, and GitHub Copilot can answer personal health questions, compare trends against personal baselines, and audit HYROX or triathlon training with local, evidence-backed dashboards. Includes aggregate mode, local-only race logging, and verification tools for recomputing claims.

Enables AI agents to manage events, races, and batches on Eventor via auto-generated tools from the OpenAPI spec.

Read-only MCP server for reviewing completed public Lichess games, providing tools to fetch a game or list recent completed games with strict safety and cost boundaries.

Enables users to check whether a beach suits a beach day or a surf session today or up to six days ahead, using Open-Meteo weather and marine forecasts scored by deterministic, documented rules. It exposes tools for raw hourly forecast data, suitability scores and verdicts by activity and skill level, and finding the best multi-hour window within a day.