"Information about the programming language Rust" matching MCP servers:

Enables MCP clients and agents to query synthetic football match state, key moments, win probability, and player profiles, and to verify claims and on-screen overlay numbers against match state.

MCP server that connects AI assistants to the Statos football analytics platform, enabling natural language queries for match predictions, betting picks, league information, and admin market-suppression controls.

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.

Bridges Suunto watch data to AI assistants like Claude, enabling natural language queries about workouts, sleep, and recovery.

Provides access to Formula 1 data including driver and constructor championship standings with support for current and historical seasons. Enables users to query F1 championship information through natural language with plans for expanded race data and telemetry.

Enables AI assistants to access World Cube Association speedcubing data including world records, competitor profiles, competition information, and championship results. Supports queries about rankings, competition schedules, and detailed speedcubing statistics through natural language.

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

Enables AI agents to search and retrieve detailed information about US golf courses, including course details, tees, climate, and nearby points of interest.

A Model Context Protocol server that gives AI assistants real-time access to the MCSR Ranked competitive Minecraft speedrunning API, enabling plain-language queries about players, matches, stats, and more.

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.

Enables Claude Desktop, Claude Code, and Codex to answer natural-language questions about EA FC esports match history, including head-to-heads, market hit rates, player form, custom rule back-tests, and CSV exports.

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.

Enables querying Chess.com public data including player profiles, stats, games, and club information through natural language.

A Model Context Protocol server that provides comprehensive Formula One racing data, enabling access to event schedules, driver information, telemetry data, race results, and performance analytics through natural language queries.

Connects Claude to the SportRadar MLB API to access real-time baseball data including game schedules, live scores, player statistics, team standings, injury reports, and play-by-play information through natural language queries.

Enables access to MLB Stats API data including game schedules, results, team information, and player lookups with fuzzy matching support through the Model Context Protocol.

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.

Provides comprehensive Formula 1 data access including race schedules, session results, lap times, telemetry data, driver/constructor standings, and circuit information. Enables users to retrieve and analyze F1 racing data through natural language queries using the FastF1 Python package.

Provides access to Chess.com player data, game records, and public information through standardized MCP interfaces, allowing AI assistants to search and analyze chess information.

Enables AI assistants to access real-time iRacing telemetry, race information, camera control, pit operations, and replay features through the MCP protocol.

Enables fetching football fixtures, match details, league tables, and squad information from the matchday app through natural language.

Enables users to ask natural-language questions about their WHOOP recovery, sleep, HRV, strain, and workout history through assistants such as Claude Desktop, Claude Code, Codex, and GitHub Copilot. Provides read-only access to personal baselines, trends, sleep debt, and weekly health summaries, plus HYROX and triathlon-specific race analytics.

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 Claude, Codex, and GitHub Copilot to answer natural-language questions about WHOOP recovery, sleep, HRV, strain, and workouts using read-only access to personal health history, baselines, trends, and sleep debt. Also rebuilds HYROX and triathlon sessions, assesses race readiness, and serves a local performance dashboard.

Provides access to the Intervals.icu API for interacting with training data, activities, events, and wellness information.

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.

Provides access to the Start.gg GraphQL API for querying tournament information, event standings, and player statistics. It also enables bracket management tasks like retrieving match sets and reporting winners through natural language.

Enables read-only access to WHOOP recovery, sleep, HRV, strain, and workout data so users can ask natural-language questions about daily readiness, personal baselines, sleep debt, and trends, plus HYROX and triathlon performance readiness and auditing. It runs locally with summary and aggregate modes, keeping data on the user's machine and sharing results only with the chosen AI assistant.