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    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.
    8
    2
    MIT
  • A
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    Not graded
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    B
    maintenance
    Enables MCP clients to fetch live football odds and team form, and flag matches where the market price diverges from a simple form-based estimate.
    Eclipse Public 2.0
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    F
    maintenance
    Standalone Model Context Protocol server for PropProfessor, plus a small query CLI for local analysis.
    2
    MIT
  • A
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    A
    quality
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    MCP server for FIFA World Cup 2026 data including fixtures, live scores, odds, and knockout bracket, plus a tool (wc_edge) that autonomously pays for premium data via Injective's x402 protocol.
    8
    7 npm
    MIT
  • F
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    Provides a tool to retrieve today's 2026 FIFA World Cup matches, including teams, time, venue, and scores.
    1
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  • A
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    Enables users to query MLB Statcast, FanGraphs, and Baseball Reference data using natural language through an AI assistant. It provides comprehensive tools for analyzing player performance, pitch-level data, season leaderboards, and team standings.
    24
    36
    MIT
  • A
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    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.
    4
    MIT
  • A
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    A
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    Connects Claude to Lichess for playing chess games, analyzing positions with Stockfish cloud evaluation, and solving puzzles. Supports real-time gameplay including moves, challenges, draw offers, and accessing user profiles and game history.
    28
    25 npm
    MIT
  • A
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    A
    quality
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    Manages Fantasy Premier League teams via natural language, reading team data, analyzing players and fixtures, and executing actions like transfers, captain changes, and chips.
    18
    MIT
  • F
    license
    B
    quality
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    A minimal Python MCP server that provides surf forecasts for a single Surfline spot. It fetches both conditions and rating data through the get_surf_forecast tool.
    1
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  • A
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    A
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    Enables discovering public sports events without sign-in and, after OAuth consent, reviewing athlete activity, operating events, and analyzing box demand, occupancy, attendance, training load, and reports through Antigravity or Gemini CLI.
    MIT
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    Provides access to official MLB statistics via a keyless API, enabling AI agents to query MLB data through natural language or direct tools.
    383 npm
    MIT
  • A
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    B
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    Enables MCP-capable assistants to perform post-match Valorant analysis by inspecting stats, reviewing rounds and deaths, rendering tactical maps, and finding community lineups from a Riot ID or match link.
    MIT
  • A
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    Not graded
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    B
    maintenance
    Enables AI agents to query real-time and historical Formula 1 data, including Grand Prix meetings, sessions (races, qualifying, practice), drivers, and lap times or telemetry, with support for filtering by year, country, session, and driver. Can be used via the Pipeworx gateway or as a local stdio server.
    376 npm
    MIT
  • A
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    C
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    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.
    184 npm
    MIT
  • A
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    Not graded
    quality
    B
    maintenance
    Enables Claude or any MCP client to read a Fantrax fantasy hockey league and the NHL schedule, including matchups, standings, rosters, free agents, lineup capacity, and goalie minimums. It is read-only and never makes roster moves, claims, trades, or lineup changes.
    MIT
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    Enables fast real-time web search and access to premium data from trusted sources including news, financial markets, sports, and more. Supports AI agents with live data and curated content from various domains.
    11
    MIT
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    Enables AI assistants to query live motorcycle racing data from a free hosted endpoint with no account, API key, or installation, covering championship standings, race and sprint results, calendars with session times, rider profiles, live timing, and news for MotoGP, Moto2, and Moto3.
    MIT
  • A
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    quality
    A
    maintenance
    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.
    MIT
  • A
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    B
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    Enables AI agents to query sports data including teams, players, events, and standings from TheSportsDB through natural language or direct tool calls.
    219 npm
    MIT
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    Enables GrokBot users to read their own Strava data from a self-hosted stdio server, querying activities with filters, laps, zones, and streams, viewing athlete profiles and stats, exploring segments and leaderboards, listing routes, exporting GPX/TCX, and analyzing or comparing training. It is read-only, using OAuth tokens stored locally on the user's cloud computer with scopes limited to profile and activity reads.
    MIT
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    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.
    43 npm
    MIT
  • A
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    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.
    MIT
  • A
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    B
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    Wraps CricAPI to provide live cricket data, enabling AI agents to query cricket information through natural language or direct tool calls.
    416 npm
    1
    MIT
  • A
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    B
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    Enables querying community-run, keyless football/soccer match data from OpenLigaDB through natural language or direct tool calls.
    380 npm
    MIT
  • F
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    B
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    Exposes Zwift training history stored in a local SQLite database to MCP clients and a REST API, enabling queries for activities, power curves, race results, and training load.
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  • F
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    MCP server for managing tennis club member data from local CSV/Excel exports. Provides tools for searching, filtering, and analyzing member information.
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