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    Enables AI agents to discover live and recent football matches, scores, and fan clips on Vublox. Supports searching by team, league, or keyword and retrieving match summaries.
    5
    33 npm
    1
    MIT
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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
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    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.
    7
    9 npm
    MIT
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    Enables Claude to access live Premier League data—teams, matches, standings, rosters, player details, and schedule-strength analytics—through natural language.
    12
    MIT
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    A local MCP server that gives Claude (or any MCP-compatible AI client) access to Formula 1 race data. Load any session from 2018 onwards, ask questions in natural language, and get answers backed by real telemetry, timing, and strategy data.
    17
    1
    MIT
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    Enables MCP clients to discover tournaments, inspect events, entrants, sets, standings, and streams for any game on start.gg using natural language.
    15
    15 npm
    MIT
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    MCP server that connects Claude or any MCP-capable LLM to your Garmin golf data, enabling natural-language queries on rounds, shots, strokes gained, club distances, course intel, and health-performance correlations from a private local DuckDB cache.
    13
    MIT
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    Provides access to KenPom basketball analytics through MCP tools. Enables querying ratings, efficiency, player stats, and more using natural language.
    18
    1
    MIT
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    Connects Claude to your Strava fitness data, enabling natural language queries about your training history such as activities, stats, and routes.
    8
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    An MCP server that connects Claude Desktop to Hudl, enabling live access to team stats, player stats, and game results through natural language queries.
    7
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    Exposes the StatsPlus API as tools for MCP-compatible clients, enabling users to query player/team statistics, contracts, ratings, and game history via natural language.
    15
    5
    MIT
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    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.
    18
    19
    MIT
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    Enables natural-language querying of a local DuckDB warehouse of NFL play-by-play data, converting questions into SQL and returning results.
    19
    MIT
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    Enables interaction with ESPN Fantasy Football leagues through natural language, allowing users to query rosters, matchups, and injuries, and execute actions via MCP or CLI.
    2
    MIT
  • F
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    Enables querying volleyball match, team, and tournament data from VolleyballWorld API through SQL queries on a SQLite database.
    1
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  • F
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    Enables natural language queries and analysis of Japanese horse racing data from JRA-VAN without writing SQL. Supports analyzing race results, jockey performance, breeding trends, and track conditions through conversation with Claude.
    22
    15
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    Wraps TheSportsDB API to enable AI agents to query sports data through natural language.
    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.
    3 npm
    MIT
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    Enables Formula 1 data analysis through natural language, providing tools like track dominance, lap time analysis, and team performance comparisons.
    Apache 2.0