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"Tools or methods to search and analyze YouTube videos" matching MCP servers:

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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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    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 live football data through MCP tools, enabling users to fetch today's matches and top scorers for competitions like the Premier League or World Cup.
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    Provides access to Chess.com player data, game records, and public information through standardized MCP interfaces, allowing AI assistants to search and analyze chess information.
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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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    Claudinho gives any MCP client live 2026 World Cup scores, fixtures, group standings, read-only prediction-market signals (Polymarket, informational only), and ready-to-paste match cards. Key-free; the schedule is bundled offline — only live state hits ESPN. Independent fan project — not affiliated with FIFA or Anthropic.
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    Provides access to real-time data from the French Basketball Federation (FFBB), including live scores, standings, and competition details. It allows users to search for clubs, matches, and venues using natural language without requiring an API key.
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    Apache 2.0
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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 for Formula 1 data via the FastF1 library. Ask Claude (or any MCP-compatible client) about race results, lap times, telemetry, standings, pit stops, and qualifying — with historical data back to 1950 via the Ergast API.
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    MIT
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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 betting intelligence including live odds, injury reports, and documented picks for NBA, NHL, and NCAAB. It enables AI agents to analyze line movements, win rates, and betting edges using real-time data from sportsbettingaianalyzer.com.
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    Provides soccer match predictions and league statistics using xG data and Poisson distribution models. It enables users to forecast outcomes, analyze team performance, and view league tables across major European football leagues.
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    GPL 2.0