"An overview or resources about Node.js" matching MCP servers:

Enables AI agents to interact with ActiveNet OpenAPI services for managing organizations, activities, customers, facilities, and more.

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

MCP server for Formula 1 data via the FastF1 library. Ask Claude (or any MCP-compatible client) about race results, lap times, telemetry, standings, pit stops, and qualifying — with historical data back to 1950 via the Ergast API.

Provides professional cycling data from FirstCycling, allowing users to retrieve comprehensive information about cyclists, race results, historical cycling data, and team information through natural language queries.

An MCP Server implementation that integrates the Balldontlie API, to provide information about players, teams and games for the NBA, NFL and MLB.

Enables natural language interaction with Sleeper Fantasy Football API data, allowing queries about leagues, players, matchups, draft results, and trade analysis.

Connects MCP clients to the public Chess.com Published-Data API so users can ask natural-language questions about a player's monthly results, recent games, current and best ratings, and profile details. All access is read-only and requires no API key or sign-in.

Enables answering questions about your disc golf rounds, courses, hole-by-hole scores and scoring trends, plus practice-throw speed, distance, spin and angle, read entirely from your own CSV exports with no credentials or network access.

Enables an LLM agent to reason about live British baseball league data through typed, read-only tools for scouting reports, matchups, lineup prediction, running-game tendencies, and playoff projection, with grounded caveats and sample sizes.

Enables AI agents to query roughly 4 million powerlifting competition entries from about 64,000 meets worldwide, retrieving a lifter's meet-by-meet history with best squat, bench, deadlift, total and points, the full ordered results of a specific meet, and all-time top lifts filtered by sex, equipment, lift, weight class, federation, age class, tested status or year. Runs keyless either through the hosted gateway URL or as a local stdio server.

Enables users to ask AI assistants about their WHOOP recovery, sleep, HRV, strain, workouts, and personal health analytics through read-only tools, resources, and prompts. Also supports HYROX and triathlon tracking, readiness analysis, and a local performance dashboard.

Provides live Formula 1 data such as driver standings, race results, and schedule for the current season, enabling users to ask about F1 without stale training data.

Enables read-only access to WHOOP recovery, sleep, HRV, strain, and workout data so users can ask natural-language questions about their personal health history, trends, and baselines inside Claude, Codex, or GitHub Copilot. It also provides HYROX and triathlon session analysis, race readiness checks, and a local performance dashboard.

Connects Claude to Strava data for natural language queries about rides, stats, and activities.

A read-only MCP server that gives AI assistants like Claude, Codex, and GitHub Copilot access to your WHOOP recovery, sleep, HRV, strain, and workout data. It enables natural-language queries about daily readiness, personal baselines, trends across periods, sleep debt, and HYROX or triathlon performance, all without manually exporting data.

Enables users to ask their AI assistant about WHOOP recovery, sleep, HRV, strain, and workouts, with baselines, trends, period comparisons, and weekly health reviews drawn from their own recorded history. It also provides HYROX and triathlon race reports, readiness bands, and data auditing through read-only tools, resources, and prompt templates.

Provides live football match data from Sofascore, including formations, injuries, betting odds, and league positions, enabling natural language queries about matches.

Connects Claude to Cartola FC, enabling queries about matches, player scores, and market information through natural language.

This Model Context Protocol server provides access to the Sleeper Fantasy Football API, enabling agents to fetch data about users, leagues, drafts, rosters, matchups, and player information without requiring an API key.

MCP server that provides Forza Horizon 5 telemetry tools (session listing, summaries, telemetry windows, tuning recommendations) to AI assistants, enabling natural language queries about driving sessions.

Enables users to ask an AI assistant about their WHOOP recovery, sleep, HRV, strain, workouts, and personal health trends, including HYROX and triathlon readiness, using read-only access to their own data.

A real-time Formula 1 analytics server that lets you ask natural language questions about races, lap times, tyre strategies, pit stops, and more using live data from the OpenF1 API.

An MCP server for ECNL and ECRL youth soccer, providing schedules, standings, and RPI for both boys and girls.

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.

An MCP server that lets an LLM query a DuckDB warehouse of EuroLeague and EuroCup basketball data in natural language, offering tools for player and team stats, shot charts, boxscores, and fantasy draft analysis without contacting upstream APIs.

Enables AI agents to read Varzesh3's live scores, match details, league tables, fixtures, team and player data, transfers, TV schedules, news, and videos through 18 read-only tools without requiring an API key or account.

Analyzes chess positions via Stockfish, returning best moves and evaluations from FEN or PGN input.

Four utilities in one server: PDF text, ruled tables and OCR from a URL as pages, documents or RAG chunks; YouTube thumbnail URLs and files with per-size availability; sports scores, schedules and standings across 33 leagues; and ATP/WTA tennis with per-set scores and draws.

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 clients to perform opponent scouting, retrieve athlete box scores, diagnose P1–P6 rotation sideout issues, audit serve-receive, and export event-level touches to DataVolley (.dvw) or pandas.