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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.
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    Connects AI assistants to SharpEdge AI to discover +EV sports betting opportunities and arbitrage edges across major sportsbooks. It provides real-time scanner statistics, sample betting edges, and educational content on advanced betting concepts like the Kelly Criterion.
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    A Model Context Protocol server that provides access to Fantasy Premier League data, allowing users to compare players, find team information, view gameweek data, and get FPL-related advice through Claude for Desktop and other MCP-compatible clients.
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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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    Provides access to Fantasy NBA Israel League statistics including team rankings, player stats, roster details, and shooting analytics for a specific private fantasy basketball league.
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    Python MCP server that provides comprehensive access to MLB statistics and baseball data through a FastAPI-based interface. Acts as a bridge between AI applications and MLB data sources, enabling seamless integration of baseball statistics, game information, player data, and more.
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    Provides AI agents with access to football match predictions for Premier League and Champions League, including half-time/full-time scores, goal scorers, corner counts, and key player insights.
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    Provides structured access to NHL data including teams, players, standings, schedules, and statistics through the Model-Context Protocol pattern.
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    Wraps TheSportsDB API to enable AI agents to query sports data through natural language.
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    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.
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    A Model Context Protocol server that provides read-only access to Yahoo Fantasy Sports data, enabling AI assistants to query league standings, player stats, matchups, and rosters.
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    Provides read-only access to Sleeper fantasy football leagues, enabling team snapshots, available players, matchups, trade context, and league history through standardized MCP tools.
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    MIT
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    An MCP server that provides access to ESPN Fantasy Basketball APIs, enabling Claude and other MCP clients to fetch league teams, rosters, free agents, matchups, NBA schedules, and live draft assistant tools.
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    Enables interaction with a Token Bowl fantasy football league through the Sleeper API, providing tools for league operations, player data, and chat features.
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    Turns official pickleball scoring rules into callable tools for LLMs to track live matches accurately.
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    MIT
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    Props-first sports odds API with a hosted MCP server. Live odds and player props (moneyline, spreads, totals) across US sportsbooks, normalized to JSON. Tools: get_odds, get_props, get_events, get_books. API-key auth, free tier.
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    MIT No Attribution
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    Enables AI agents to access comprehensive sports data including football, basketball, American football, and hockey leagues via 11 tools, with no API key required.
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    MIT