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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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    MIT
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    Wraps the Sports Game Odds API to provide sports game odds data through natural language queries.
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    Exposes Zwift training history stored in a local SQLite database to MCP clients and a REST API, enabling queries for activities, power curves, race results, and training load.
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    Connects Claude to Cartola FC, enabling queries about matches, player scores, and market information through natural language.
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    Collects baseball league data from gameone.kr and enables Claude Desktop to perform team analysis, lineup recommendations, and opponent strategy through natural language.
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    Enables management of sports video metadata with PostgreSQL backend, supporting CRUD operations, advanced search, and tracking of game information including teams, scores, player statistics, and match details.
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    MCP server for a World Cup 2026 prediction game assistant, providing tools for live game data via PostgreSQL and semantic search over football articles via RAG.
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    Manages sports video metadata with CRUD operations for game information, teams, scores, and statistics. Enables advanced search filtering by game type, teams, league, season, and date ranges through PostgreSQL integration.
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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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    MCP server for Bosch eBike Flow (Smart System / BES3). Read-only access to battery health and charge-cycle trends, components and firmware, live state-of-charge, and per-ride activity data (distance, elevation, power, assist-mode, CO2), signing in with your own Bosch account via PKCE.
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    GPL 3.0
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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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    MIT
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    An MCP server that lets an LLM query a DuckDB warehouse of EuroLeague and EuroCup basketball data in natural language, offering tools for player and team stats, shot charts, boxscores, and fantasy draft analysis without contacting upstream APIs.
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    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.
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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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    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.
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    MIT