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    This MCP server enables interaction with NASCAR racing data via the sportsdata.io API, allowing access to race statistics, driver information, and event details through natural language queries.
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    An MCP server that enables interaction with MLB (Major League Baseball) v3 projections through the SportsData.io API, allowing access to baseball statistics and projections through natural language.
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    An MCP server for accessing college basketball statistics through the SportsData.io CBB v3 Stats API, enabling AI agents to retrieve and analyze college basketball data through natural language interactions.
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    An MCP Server that enables interaction with MLB scores and statistics via the SportsData.io MLB V3 Scores API, allowing users to access baseball data through natural language queries.
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    A Model Context Protocol server that gives AI assistants real-time access to the MCSR Ranked competitive Minecraft speedrunning API, enabling plain-language queries about players, matches, stats, and more.
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    MIT
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    A Model Context Protocol server that provides comprehensive Formula One racing data, enabling access to event schedules, driver information, telemetry data, race results, and performance analytics through natural language queries.
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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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    Provides Formula One data and statistics through a Model Context Protocol interface, allowing users to access race calendars, session results, driver statistics, telemetry data, and championship standings.
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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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    Enables access to MLB Stats API data including game schedules, results, team information, and player lookups with fuzzy matching support through the Model Context Protocol.
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    Provides comprehensive NBA statistics via Model Context Protocol, enabling queries for player stats, game scores, team info, and advanced analytics through natural language.
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    Provides natural language access to IPL cricket match data, allowing users to query player statistics, team performances, and match results. It utilizes a SQLite backend and Cricsheet data to deliver detailed cricket analytics through the Model Context Protocol.
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