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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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    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.
    4
    17
    1
    MIT
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    Tells you when your favourite football teams play and where to watch in Denmark, using data from TheSportsDB.com and built-in Danish broadcast hints.
    4
    MIT
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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
    6 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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    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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    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.
    3
    16 PyPI
    MIT
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    Enables AI assistants to monitor a Sleeper fantasy football draft in real time by retrieving draft picks, available players, current turn, and roster needs through Sleeper's public keyless API.
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    Real-time tennis data for ATP, WTA, Challenger and ITF: live scores, player rankings, match-winner odds, and model win-probability. 12 read-only tools; a tier-gated endpoint returns a plain-English explanation of which plan it needs rather than a bare 403. Requires a paid API key.
    24
    244 npm
    150
    MIT
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    A unified MCP server that aggregates 32 sports API providers into a single service, providing 336 tools for scores, stats, odds, esports, and more across 70+ sports.
    100
    66 npm
    33
    MIT
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    A read-only local MCP server for querying your own Strava data from Codex, providing tools for activities, athlete profile, stats, gear, and more.
    16
    7 npm
    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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    Read-only MCP server for the Palloliitto's result service API, enabling AI applications to search and inspect football & futsal data including clubs, teams, matches, competitions, and league tables.
    12
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    Enables AI assistants to discover, explore, and query Formula 1 data stored in AWS, using Athena and Glue for schema inspection, sample data, and custom analytical queries.
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    A private, read-only MCP server that gives local Codex and Claude Desktop sessions access to athletics and wellness data from a Garmin Forerunner 55. It runs locally over stdio, exposes read-only tools for daily health, recovery, performance, and workouts, and caches data in SQLite.
    8
    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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    AI soigneur for cyclists: turns your Strava ride into an Ien-Vitse-validated nutrition plan (carbs/hour, hydration, timing) and assembles a ready-to-order musette. Works alongside the Strava MCP in Claude and ChatGPT.
    MIT