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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
    41 PyPI
    2
    MIT
  • F
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    Enables LLMs to accurately convert climbing grades across different rating systems using a data-driven approach.
    1
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    F
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    Standalone Model Context Protocol server for PropProfessor, plus a small query CLI for local analysis.
    2
    MIT
  • A
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    quality
    B
    maintenance
    Read-only MCP server for Counter-Strike schedules, results, teams, players, and events from HLTV.org, offering tools to search entities, list matches, and get match details.
    3
    7 npm
    MIT
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    Provides MCP-compatible LLMs with read-only access to normalized ESPN Fantasy Football league snapshots, team rosters, and free-agent data.
    3
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    MCP server that enables Claude Desktop to access real-time sports data including live scores, fixtures, standings, and NBA statistics using free APIs.
    10
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    Provides Formula 1 data via the Ergast API, enabling users to check current standings, get race results, view the season schedule, and look up driver profiles.
    28 npm
    MIT
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    Enables searching golf courses for free and retrieving premium data such as scorecards, GPS mappings, course details, and green slope images via a credit-based API with explicit spend confirmation.
    6 npm
    2
    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 fetching sportsbook odds, live scores, and event information across 70+ books and 30+ leagues, with tools to list sports, get scores, and discover events.
    28 npm
    1
    MIT
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    Connect ESPN & Yahoo fantasy leagues to AI assistants via MCP. Read-only tools for rosters, standings, matchups, free agents, and league info across football and baseball.
    23
    MIT
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    CLI and MCP server for EdgeFinder sports analysis. Get AI-powered NFL, NBA, and MLB betting recommendations, player stats, odds, schedules, and Polymarket portfolio tracking from your terminal or AI agent.
    30 npm
    2
    MIT
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    Enables remote access to Sleeper fantasy football leagues via an MCP endpoint, providing read-only tools for league snapshots, transactions, traded picks, and computed free agents to any MCP client.
    99 npm
    MIT
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    A server for querying surf spot data and searching spots, with tools to list regions, spots, get spot info, find spots by criteria, and get mock forecasts.
    MIT
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    Enables AI agents to access a ProTrainUp club account through its undocumented API and web panel, exposing read-only tools for calendars, motoric tests, exercises, conversations, team-wall posts, scheduled posts, event lists, and diary files. It also supports authenticated GET exploration without performing write operations.
    MIT
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    Get live scores, schedules, standings, team and player data for NFL, NBA, MLB, NHL, soccer, and more via MCP.
    139 npm
    2
    Apache 2.0
  • F
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    MCP server for Fantrax fantasy baseball that provides tools to read league info, rosters, standings, free agents, and related data.
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    MCP server that aggregates and caches top stories from Indian news websites, prioritizing sports stories, and exposes them via tools for use with Claude.
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