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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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    Standalone Model Context Protocol server for PropProfessor, plus a small query CLI for local analysis.
    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.
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    186 npm
    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.
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    MIT
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    MCP server for MaxPreps that reads US high school team schedules, scores, records, rosters, stat leaders, and athlete careers without needing an account or API key.
    15
    235 npm
    MIT
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    MCP server for Myers Park High School athletics, providing public access to schedules, teams, rosters, coaches, news, and game broadcast links.
    10
    223 npm
    MIT
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    Allows Claude to access French Chess Federation public data in conversation, including player search, department tournament listings, tournament details, rankings, and round-by-round player results.
    5
    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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    NFL fantasy football data over MCP. Compare any two players head to head, pull position rankings in PPR, half-PPR or standard, check positional scarcity and bye-week conflicts.
    9
    MIT
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    MCP server that turns AI assistants into VGC teambuilding partners with real usage stats, damage calculations, and threat reports for competitive Pokémon.
    6
    MIT
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    MCP server for Formula 1 data via the FastF1 library. Ask Claude (or any MCP-compatible client) about race results, lap times, telemetry, standings, pit stops, and qualifying — with historical data back to 1950 via the Ergast API.
    21
    MIT
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    Provides live football data through MCP tools, enabling users to fetch today's matches and top scorers for competitions like the Premier League or World Cup.
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    Exposes the Norwegian/Swedish orienteering federation's Eventor REST API as typed tools, letting an MCP client query events, clubs, entries and competitors, and optionally publish start and result lists, without ever seeing the user's API key or Eventor password.
    8
    MIT
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    Provides AI-powered sports analytics for Daily Fantasy Sports (DFS) with real-time player projections, lineup optimization, live odds aggregation from multiple sportsbooks, and SHAP-based explainability to understand recommendation reasoning.
    4
    1
    MIT
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    MCP server for NBA live data and stats, providing read-only tools to query live scores, box scores, player info, standings, and more from NBA.com.
    15
    8 npm
    1
    MIT
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    An MCP server that exposes sports-data APIs from multiple providers (AFL, Sportsbet, Entain, NRL) as interchangeable tools, enabling cross-provider odds and stats comparison.
    22
    500
    148 PyPI
    16
    MIT
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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.
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