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  • A
    license
    Not graded
    quality
    B
    maintenance
    Provides Formula 1 data via the Ergast API, enabling users to check current standings, get race results, view the season schedule, and look up driver profiles.
    28 npm
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Provides comprehensive Formula 1 data and analytics for Claude Desktop, including race results, telemetry, standings, and strategy insights through 36+ tools.
    1
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    An MCP server for managing kids' sports activities on Spond. Built for parents who want to give AI assistants access to upcoming matches, training schedules, and attendance.
    5
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Provides 28 MCP tools to query KBO baseball data, including player stats, pitch arsenal, zone charts, usage patterns, and trend reports using a SQLite database.
    1
    MIT
  • F
    license
    Not graded
    quality
    C
    maintenance
    Exposes Formula 1 historical data (race results, qualifying, pit stops, and championship standings) as callable tools for LLMs via the Jolpica-F1 API.
    -
  • F
    license
    Not graded
    quality
    D
    maintenance
    Enables querying K League official data (rankings, matches, players) via SQL using natural language, with a pre-built SQLite database.
    -
  • F
    license
    Not graded
    quality
    D
    maintenance
    Provides live Formula 1 data such as driver standings, race results, and schedule for the current season, enabling users to ask about F1 without stale training data.
    1
    -
  • F
    license
    Not graded
    quality
    D
    maintenance
    A real-time Formula 1 analytics server that lets you ask natural language questions about races, lap times, tyre strategies, pit stops, and more using live data from the OpenF1 API.
    -
  • A
    license
    A
    quality
    A
    maintenance
    Provides Claude Code and Claude Desktop with safe, read-only access to your local Garmin training data, readiness decisions, run details, and trends so you can get coaching advice in natural language.
    13
    1
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Provides read-only access to pre-kick-off football match outcome probabilities and the open record of how those predictions turned out, including match listings, per-match analysis, and aggregate hit rates with baselines. It requires no account or API key and lets users query results by date, week, language, and time zone.
    3
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Enables AI assistants to access sports betting odds data from 265+ bookmakers across 34 sports, including events, odds, historical data, arbitrage, and value bets.
    22
    137 npm
    2
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    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.
    8
    1
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Gives AI assistants structured access to racing-game telemetry such as lap and sector times, lap comparisons, braking zones and tyre wear through MCP tools and resources. It works out of the box on bundled synthetic sample data and can ingest a live F1 23 UDP feed.
    7
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    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.
    8
    41 PyPI
    2
    MIT
  • A
    license
    B
    quality
    B
    maintenance
    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.
    4
    MIT