"Using a search engine to find evidence to answer a question" 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.

A chess training MCP server that downloads games from Lichess, analyzes moves with Stockfish, detects pattern errors using a compression model, and provides spaced repetition training to improve weaknesses.

A Model Context Protocol server that provides access to Fantasy Premier League data, allowing users to compare players, find team information, view gameweek data, and get FPL-related advice through Claude for Desktop and other MCP-compatible clients.

An MCP server that integrates with the Playtomic API to find nearby padel courts, check availability, compare prices, and set alerts for preferred slots.

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 LLMs to accurately convert climbing grades across different rating systems using a data-driven approach.

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.

A Python-based MCP server that extracts football match data from multiple global sources like ESPN and BBC Sport using intelligent web scraping. It enables AI assistants to retrieve scheduled matches, real-time scores, and broadcasting details with advanced filtering for high-profile games.

Provides comprehensive soccer/football data including standings, team search, league search, match predictions, and head-to-head records via the API-Football service.

Provides access to a cited knowledge graph on football's Laws of the Game and major competitions, with tools for search, question answering, and entity exploration, returning claims with sources and confidence.

Public read-only MCP server exposing today's free sports-betting projections, track record, methodology, engine versions, and per-game model reads from the Olympus Bets Analytics platform.

Provides deterministic surf-window recommendations and explanations based on stored decisions, enabling safe surf planning through tool-backed evidence.

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.

An MCP server that provides access to over 12 years of NFL play-by-play data through a local DuckDB database. It enables users to query player performance, team statistics, and situational efficiency metrics like EPA and WPA using natural language.

A server for querying surf spot data and searching spots, with tools to list regions, spots, get spot info, find spots by criteria, and get mock forecasts.

Provides 28 MCP tools to query KBO baseball data, including player stats, pitch arsenal, zone charts, usage patterns, and trend reports using a SQLite database.