"Using Bing Search to Answer Questions" matching MCP servers:

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 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.

Enables MCP clients to search, retrieve, and list citable sections of the official NBA rulebook, so natural-language questions can be answered with grounded rule citations.

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.

Enables Claude and other MCP clients to answer NFL questions using 25+ years of real nflverse play-by-play and player statistics. Provides tools for situational stats, leaderboards, player game logs, team schedules, and player name disambiguation.

Enables Claude to answer trail and ultra running questions from a local DuckDB warehouse built from Garmin FIT files, with 29 parameterised tools that compute running-only pace by grade, matched-terrain heart rate drift, segment comparisons and training load, each result stating its filters and exclusions.

Provides AI agents with live, grounded sports data including model probabilities, track records, and European soccer and tennis arbitrage opportunities, so they answer from real numbers instead of stale guesses.

Enables Claude to answer Formula 1 questions using real public data: race, sprint and qualifying results back to 1950, lap and sector times, 4 Hz car telemetry, tyre stints, pit stops and undercut strategy, plus locally drawn speed-trace and gear-shift plots. Also covers live session timing — positions, gaps, tyres, flags and weather — through 77 read-only tools that need no account, login or API key.

Enables AI agents to work with events, moments, places, and live streams through the Sporfie API, and to answer support questions from the Sporfie Help Center.

Enables AI assistants to answer tennis tactical questions using shot-by-shot charted match data, producing game plans, serve and return tendencies, scouting reports, match forecasts, and explanations of why a match turned. Exposes read-only tools for player reports, head-to-head game plans, match breakdowns, and tactical leaderboards, each with confidence margins and links to full pages.

Enables read-only access to Turkish Football Federation data from tff.org, so AI agents can look up league standings, fixtures and results, full match details such as officials and lineups, and top scorers across 18 leagues from the Süper Lig down to youth development leagues. Group filtering, match-week filters and scorer limits are supported, letting users answer detailed Turkish football questions by league or specific match.

Gives AI clients free, keyless access to professional boxing data — upcoming cards, recent results, boxer profiles, division rankings, broadcasters, odds and win forecasts — so they can answer fight-night questions and cite a source page. Ships tools, resources and prompts covering schedules, bouts, rankings and search.

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.

Enables natural language querying of Feyenoord football match data, converting questions to SQL queries and returning results.

Enables users to ask cricket statistics questions from Cricinfo Statsguru and receive answers with proof links.

Answers lineup, trade, waiver, and playoff-odds questions by running deterministic Python analysis and returning conclusions, not raw data.

Gives AI assistants read-only access to a user's connected ESPN, Yahoo, and Sleeper fantasy leagues, so they can answer start/sit, waiver, trade, and matchup questions using real roster and league data.

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.

A read-only WHOOP MCP server that lets AI assistants answer questions about your recovery, sleep, HRV, strain, and workouts against personal baselines, plus HYROX and triathlon readiness tracking with a local dashboard. It runs locally, exposes only read-only tools, and supports Claude Desktop, Claude Code, Codex, and GitHub Copilot.

A read-only WHOOP MCP server that lets Claude Desktop, Claude Code, Codex and GitHub Copilot answer questions about your own recovery, sleep, HRV, strain and workouts, comparing days against your personal baselines without exporting data yourself. It also adds HYROX and triathlon race tracking, readiness bandwidth and a local chart-first dashboard.

Enables AI assistants to answer tennis string questions from lab measurements rather than marketing copy, covering stiffness, tension loss, energy return, spin and price. Supports searching, comparing and recommending strings for a player's needs and racquet, with measurements and estimates kept separate.

Enables Claude to access and analyze Suunto sports watch data, allowing users to ask natural-language questions about their workouts, training metrics, and history.

An MCP server that answers football questions with interactive widgets, centered on the 2026 FIFA World Cup using SofaScore API data.

Enables Fantasy Premier League squad management with custom tools for player search, fixture outlook, tier classification, hit math, and chip timing, all using public FPL data without requiring login credentials.

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.

MCP server for RapidOddsAPI that provides bookmaker odds, live scores, arbitrage and value bets to AI assistants. It supports querying sports, odds, results, and betting opportunities with credit-based usage.

MCP server providing Claude live access to USL Super League data—teams, matches, standings, rosters, and schedule-strength analytics—via the ESPN public API.

Provides access to the Statbotics API for FIRST Robotics Competition statistical data and predictions. Enables AI assistants and other MCP clients to retrieve FRC team EPA ratings, event predictions, and match analytics.

Enables AI clients to securely connect to Volleymetrics and Hudl volleyball analytics for opponent scouting, rotation diagnostics, box scores, serve-receive audits, and DataVolley export.