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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
    48 PyPI
    2
    MIT
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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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    Enables Claude, ChatGPT and other MCP clients to look up members, their memberships and credentials, events and event bookings, and clubs and other organisations in a sports membership platform, and, when writes are enabled, to change the dates of a member's membership.
    9
    MIT
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    Enables riders to ask an assistant for wind-sport forecasts at a named spot, combining AROME, ICON, ECMWF, GFS, UKMO and other models into one hourly table with consensus, spread, gust diagnosis, and onshore/offshore safety relative to the beach orientation. It also finds spots, lists which models apply locally, and returns rideable daytime windows within a given knot range.
    7
    MIT
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    An MCP server providing access to college football statistics sourced from the College Football Data API within Claude Desktop.
    9
    27
    MIT
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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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    Enables AI tools to query sports tournaments, leaderboards, predictions, and match stats from the Tulidu Sport platform.
    8 npm
    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.
    49 npm
    MIT
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    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.
    20 npm
    MIT
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    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 AI agents to query sports data including teams, players, events, and standings from TheSportsDB through natural language or direct tool calls.
    35 npm
    MIT
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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
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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.
    17 npm
    MIT
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    Enables querying community-run, keyless football/soccer match data from OpenLigaDB through natural language or direct tool calls.
    42 npm
    MIT
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    Read-only MCP server for the PlayMetrics youth-sports club management platform, enabling AI agents to query clubs, teams, players, schedules, registrations, and payments.
    1
    MIT
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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.
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    MCP server for the Spark Membership platform enabling class scheduling, bookings, attendance management through any MCP client.
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    Enables access to and analysis of a curated historical football database covering 37,000 matches across European competitions, with tools for team/player search, match details, form, head-to-head, comparisons, and match prediction.
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