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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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    8
    2
    MIT
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    An MCP server providing access to college football statistics sourced from the College Football Data API within Claude Desktop.
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    MIT
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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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    MIT
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    A server for querying surf spot data and searching spots, with tools to list regions, spots, get spot info, find spots by criteria, and get mock forecasts.
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    MIT
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    A unified MCP server that combines The Odds API and SportMonks Football API v3 to provide 28 tools for sports data like odds, scores, fixtures, standings, and predictions, enabling Claude to interact with a wide range of sports information.
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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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    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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    Provides MCP servers for Claude to access fitness data from Strava and intervals.icu, enabling natural language queries for activity analysis, advanced training metrics, and wellness tracking.
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    Enables access to comprehensive surf forecasts from Surfline including current conditions, swell analysis, forecaster insights, tides, and timing information for Santa Cruz surf spots. Provides detailed 8-hour forecasts with expert observations through secure Google OAuth authentication.
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    7
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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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    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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    The Blue Alliance MCP server using its API for FIRST Robotics Competition data. Retrieve comprehensive FRC team, event, and match information.
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    Free MCP server for the World Cup 2026 Tour public schedule API. It enables AI assistants to fetch the 2026 FIFA World Cup schedule, next match, match by ID, and dataset JSON-LD without an API key.
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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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    21
    MIT
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    Enables AI assistants to access World Cube Association speedcubing data including world records, competitor profiles, competition information, and championship results. Supports queries about rankings, competition schedules, and detailed speedcubing statistics through natural language.
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    12
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    An MCP server that connects Claude Desktop to Hudl, enabling live access to team stats, player stats, and game results through natural language queries.
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    7
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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.
    Last updated
    6
    1,731
    MIT