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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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    MCP server that provides F1 telemetry analysis, tyre degradation modeling, and pit strategy recommendations, delivering race engineer-style calls grounded in real data. It exposes tools for degradation fits, fuel correction, and strategy reasoning via LangGraph.
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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.
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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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    Searchable football data provider documentation for AI coding agents. Enables agents to look up verified docs on event types, qualifier IDs, coordinate systems, and more across 15 providers.
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    Enables AI agents to query live sports betting data including odds, edges, arbitrage opportunities, player/team stats, and reference data using the SportWizzard API.
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    Enables AI agents to search and retrieve detailed information about US golf courses, including course details, tees, climate, and nearby points of interest.
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    Provides AI-powered sports analytics for Daily Fantasy Sports (DFS) with real-time player projections, lineup optimization, live odds aggregation from multiple sportsbooks, and SHAP-based explainability to understand recommendation reasoning.
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    Enables AI assistants to access sports betting odds data from 265+ bookmakers across 34 sports, including events, odds, historical data, arbitrage, and value bets.
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    Enables AI agents to discover live and recent football matches, scores, and fan clips on Vublox. Supports searching by team, league, or keyword and retrieving match summaries.
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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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